The evening moved from a one day micro cap halt festival into Iran and the rial, crypto positioning, Grok and SpaceX, Tesla and autonomy, Moderna’s melanoma vaccine, Flock cameras, Bally’s stalled Chicago casino, and a lightning round that ran from drones and Chinese humanoids to lithium and peptide manufacturers.

If the night had a single thread, it was this: the obvious story is usually already in the price. The work is finding where the second order effects land, who actually captures the cash, and whether the vehicle you are using to express a view will survive the path required to get there.

Small float speculation still obeys halt mechanics more than fundamentals. Crypto exposure can be cleaner through miners, trusts, and listed vehicles than through the coins themselves, depending on what you are actually trying to own. Frontier models are compressing toward similar intelligence scores while the cost curve and the surrounding ecosystem decide who wins commercially. Healthcare may be one of the cleaner ways to own AI without having to pick the next hot infrastructure name. Physical casinos are getting squeezed by phones, bars, and prediction markets at the same time. Surveillance tools keep spreading whether people like them or not, which is exactly why some people in the room own the companies building them.

Nothing in this group is financial advice. Invest at your own risk. That line opened the meeting, and it still applies to everything below.

Here is the recap.

1. CID HoldCo, Halt Mechanics, and Nearly 23 Hour Trading

The discussion opened with another stretch of violent small and micro cap trading, along with Nasdaq’s plan to expand toward a nearly 23 hour session. The tape supplied a fresh example before the geopolitics even started.

CID HoldCo (DAIC), which does business as Dot Ai, was the crazy one on the day. This was a different flavor from the Chinese micro cap wave that has dominated recent sessions. The company is an asset tracking platform using patented passive and active RFID, AI, and edge cameras, serving construction, military, mining, and other industries, with headquarters in Las Vegas. The description is mostly buzzwords. That does not stop a micro float from running hundreds of percent.

The stock opened around $1.08, immediately went into a halt, unhalted around 9:40 a.m. ET (a 10 minute pause after the 9:30 open), and jumped in a single burst. Some in the room, including Eric and Quinn, traded it through the swings. The position did not work. Shares only briefly touched above $3.00 at the high before fading back through a long sequence of Limit Up Limit Down pauses to close around $1.73, still up about 306 percent on the day. After hours they surged another 126 percent to $3.90 and were still around $4 into the evening. There was no company news that morning. The setup underneath the squeeze had already been ugly. On August 6, Nasdaq staff issued a determination to delist the stock for failing the $50 million market value requirement, and the company had disclosed a loan default that could lead to foreclosure on a material portion of its assets. This is a distressed sub $5 million microcap. The float and halt mechanics are the whole story.

The useful observation concerned the week that often follows a mover like this. When a crazy name starts the week, sympathy plays in related small caps tend to appear over the following sessions, and those follow through names are frequently easier to trade than the original halt magnet. Tracking and camera related micro caps were mentioned as the obvious candidates if the theme persists.

Nasdaq’s planned move toward nearly 23 hour trading sat on top of that tape. The overnight session is expected to begin December 6, 2026, subject to SEC approval and readiness of the securities information processor. Trading would run from 9:00 p.m. ET Sunday through 8:00 p.m. ET Friday, with a daily one hour pause. Regular hours still run from 9:30 a.m. to 4:00 p.m. ET. Pre market already opens at 4:00 a.m. ET, and after hours currently runs until 8:00 p.m. ET. The new overnight session would leave only about a one hour break. Combined with the Pattern Day Trader rule, the structure points toward more overnight pumping in thin names, more gambling incentivization, and more of the same. The $25,000 minimum and the PDT designation were eliminated effective June 4, 2026, with broker phase in running through October 2027.

A related change is already live in options. Cboe’s C1 exchange opened an extended morning session from 7:30 a.m. to 9:25 a.m. ET for a small group of high liquidity symbols, about 21 names at launch including Apple (AAPL), Nvidia (NVDA), Tesla (TSLA), Microsoft (MSFT), Amazon (AMZN), Advanced Micro Devices (AMD), and Meta Platforms (META). The session went live August 17 after being pushed back from July 13. There is also a 4:00 to 4:15 p.m. ET curb window, and only limit orders are accepted. Major index options already trade around the clock. Nobody in the room had been trading single name options in those extended windows yet. The invitation was simple: if you try it, report back. More hours means more chances to hit a lottery ticket or blow up an account.

In this part of the market, float, halts, overnight liquidity, and positioning explain the tape better than the press release.

2. Iran, Operation Economic Outcast, and a Currency That Prints Millionaires

The group covered Iran quickly because the pattern has become familiar: a lot of posturing, a headline designed to sound decisive, and energy markets that have already stopped treating every statement as a regime shift.

Treasury Secretary Bessent announced Operation Economic Outcast on August 24, describing it as an unprecedented campaign against Iran and its enablers after a Financial Times op-ed that promised an economic D Day. The policy expands secondary sanctions against entities doing business with Iran, a plan to pressure countries that refuse to sever economic ties, while stopping short of imposing new major penalties on Iran itself. Iran answered with public defiance. Pakistan continues trying to mediate. The UAE had announced the prior week that it was suspending all trade with Iran.

Crude was still carrying some residual Iran premium, well off the panic highs from earlier in the conflict. WTI fell about 2.5 percent Monday to $84.89. Brent lost 2.5 percent to $92.06. WTI in the $80s and Brent in the low $90s is the right picture.

The more striking data point was the currency. The Iranian rial hit a fresh all time low Monday, dropping to about 2.02 million per dollar after breaking 2 million on the open market Sunday for the first time. One dollar now makes you a millionaire in Iran. A Google chart that appeared to show a jump from 42,000 to 1.3 million created some confusion in the room until the two rates were separated. The 42,000 figure was the old official peg from 2018 into the early 2020s. The black market rate had already blown out to around 112,000 years ago, well ahead of the official number. Iran’s Central Bank rate now sits around 1.5 million rial to the dollar, while the market rate is what most Iranians actually pay. The chart jump reflects that official rate being reset in stages. The rial first broke 1 million in the spring. The devaluation is real. It has been happening in layers, and the chart compression makes it look like a single overnight event.

That opened a question: is this the case for crypto in unstable countries? The room treated it as a dollar story. People facing a collapsing local currency rarely transact in Bitcoin. Bitcoin is too volatile for payroll, rent, and groceries. They reach for stablecoins, which are easier to obtain than physical dollars on a black market. Argentina already works this way. So do several countries in Africa. If that channel keeps growing, it is bullish for dollar demand even when it looks like a crypto story.

Oil, sanctions, and the rial are the same movie the group has been watching for months. Markets have learned to fade the theater until something changes the actual flow of barrels.

3. Bitcoin, Ethereum, and How Professionals Still Struggle to Place Crypto

Bitcoin had been moving, and a few people in the room had bought. Roberto’s purchase last week came in around $77,000, more momentum than breakdown, after the coin had spent a long stretch in the $60s. Monday’s open at about $77,728 was the highest level since May. The hoped for dip never arrived. That is a familiar feeling.

Andree’s working framework was more specific. Tokenization and stablecoins look like the next wave of actual adoption. The trade expressing that view is long ether and short Bitcoin. The logic runs through market history and market structure. After 2021, the last cycle trained a generation of traders on altcoins, then Bitcoin outperformed and Bitcoin dominance rose. The bear market that followed turned a lot of people into Bitcoin maxis, which means the crowd is now underexposed to everything else, including Ethereum, the second largest network. The financial industry is slowly standing up on Ethereum and its layer twos. A layer two is a network built on top of Ethereum that processes transactions on its own faster, cheaper rails and then settles the results back to the main chain, inheriting Ethereum’s security while cutting fees and multiplying throughput. That architecture matters for the thesis because activity on a layer two still pays tolls to the base network, so growth anywhere in the stack ultimately drives demand back to ether itself. Coinbase (COIN) has a layer two. Robinhood (HOOD) has a layer two. BlackRock’s (BLK) largest crypto fund sits in Ethereum. The thesis is that value accrues to the native asset of the crypto economy with the most total value locked, and that Ethereum outperforms Bitcoin over the next cycle. Sized as a spread, the trade can be closer to delta neutral. Sized directionally, it is a relative value bet.

The market caps make the valuation problem obvious. Ethereum is about $233 billion. Bitcoin is about $1.33 trillion, roughly five to six times larger. Bitcoin’s bull case is first mover status and digital gold. Gold itself is in the $30 trillion neighborhood, while crypto as a whole is still around $2 trillion. Relative value arguments can look wide open from that altitude. They still have to survive 80 percent drawdowns. The last crypto drawdown took a lot of people out. Belief in a multi year market cap catch up is only useful if you can hold through the path.

John Hockberger asked the question asset managers actually have to answer: is crypto inside anyone’s client allocation model? Victor’s view split the industry into two channels. Newer managers have built product suites for the demand. On the institutional and retirement plan side there has been more movement, even if it remains difficult. On the intermediary side, the financial advisor channel, personal interest exists, but many shops have shuttered those sales divisions. Selling a product that is down 20 to 30 percent year to date is a miserable job. Traditional asset managers, outside some of the larger bank platforms, have mostly stayed out.

Even when a client wants it, the portfolio construction problem does not go away. If you are already 100 percent allocated, something has to be trimmed. The question becomes what crypto adds. Does it reduce volatility? Does it add alpha? If you cannot answer that, it is hard to put into a model portfolio. The evidence that Bitcoin is a reliable hedge is thin. Plenty of people would argue gold has failed that test as well.

Eric’s practical stance was that crypto sits outside his circle of competence, so he does not pretend otherwise. For people who still want listed exposure, the cleaner paths discussed were the Bitcoin miners and data center names that either still hold coins or are pivoting into AI compute, plus the trusts and holding companies that wrap the coins in equity form.

IREN Limited (IREN) sells Bitcoin immediately and has been reducing mining, which helps explain why it has not been tracking the coin. Cipher Mining (CIFR) and Hut 8 (HUT) sit in the same neighborhood, with different mixes of mining versus AI data center ambitions. MARA Holdings (MARA) holds Bitcoin on the balance sheet and is one of the largest corporate holders, around $4 billion of coins at recent prices, typically ranked second among corporates behind Strategy (MSTR). That makes MARA a more direct beta vehicle, though the quality of its AI transition is a separate question.

Riot Platforms (RIOT) got a short lived bounce after a compute deal with Anthropic. Anthropic struck a $9.1 billion agreement for a 20 year, 191 megawatt supply from Riot’s Rockdale, Texas campus, disclosed August 10 and 11. Shares initially soared more than 20 percent and then gave up almost the entire gain. Riot has also been selling monthly Bitcoin production and shrinking its treasury, with holdings declining from 15,680 to 11,380 BTC over the quarter, drifting toward the IREN model of selling coins and leaning into AI compute.

Grayscale Bitcoin Trust (GBTC) just moves with Bitcoin and remains the simplest way to buy exposure without a crypto brokerage. Strategy is closer to a levered Bitcoin ETF with a lot of decay. Tom Lee’s vehicle, BitMine (BMNR), plays a similar game on the Ethereum side, with the same dilution problem. Those equity wrappers can give you more crypto per dollar of stock. They can also grind you down while you wait.

The group has now asked for a deeper crypto allocation session. The open question is whether Bitcoin earns a permanent seat in a portfolio the way a serious allocator would have to justify it.

4. Grok 4.6, SpaceX, and Why Ecosystem Still Beats a Benchmark

Grok 4.6 became the bridge from crypto into the Elon stack.

Few people in the room were using Grok on purpose. One mention was getting forced onto it in Cursor before switching models. The independent comparison that mattered sat on Artificial Analysis. Grok 4.6, released August 12, scores 61 on the Intelligence Index, in line with GPT 5.6 Sol, behind Claude Opus 5 at 63 and Claude Fable 5 at 62, and just ahead of Moonshot’s Kimi K3. Meta’s Muse Spark and several Chinese systems including GLM filled out the next tier. Gemini remained further back on the intelligence score while still looking like the fastest, a reminder of what TPUs are for.

Cost is where the chart gets interesting. Fable and Opus land around $2 to $3 per unit of intelligence. GPT 5.6 is just under $1. Grok 4.6 came in at $0.84 cost per task, roughly in line with Kimi. Performance versus cost is where xAI (now folded into SpaceX as SpaceXAI since the February merger) and Moonshot are making the most noise. Alibaba (BABA) remains a partial owner of Moonshot, which is why the group already has some exposure through the portfolio.

Benchmarks do not automatically produce adoption. Anthropic and OpenAI already have customer lock in and ecosystems. People will not mass migrate to Grok just because a score is close. What SpaceX does have is a stack that can absorb Grok: launch, Starlink, terrestrial data centers, planned orbital compute, and now the Grokbot workflow hype. Grok 4.7 was described as weeks away. Starlink Mobile is being positioned, at least in SpaceX’s own claims, against AT&T (T) and Verizon (VZ), including aircraft connectivity.

The group recently added SpaceX (SPCX) to the portfolio. Eric has turned hyper bullish over recent weeks as the Grok developments have stacked up, a stronger stance than he held earlier in the position, and he plans to hold most of it. Valuation is anyone’s guess. SpaceX went public June 12, 2026 at $135 in the largest IPO in history, raising $75 billion in the base offering and roughly $86 billion once the overallotment is included, with the market value around $1.85 trillion. The structural argument is larger than the next quarter. Launch, satellite internet, mobile, AI models, automation, ground data centers, and orbital data centers in one corporate system is as close as this generation may get to a Standard Oil style monopoly attempt. Love him or hate him, Elon plays business like a video game and goes for maximum damage. Asking Grok to roast ChatGPT produced the expected Elon flavor: ChatGPT as a corporate HR intern terrified of getting fired, reading from a script reviewed by 47 risk committees, agreeing with you when you are wrong and correcting you three paragraphs later. The comedy is the point. The positioning is the investment.

The bear case came from Quinn, offered less as his own view than as a counterweight to keep the discussion honest. It centered on supply and incentives now that the stock is public. The first lockup related window was followed by a 15 to 16 percent spike, which is the opposite of what Twitter had been preparing people for. The tape around that move was messier than a clean unlock pop. On August 6, SPCX rose 6.14 percent on 3.4 times normal volume. The next session gained another 15.8 percent, and the stock closed back above the $135 IPO price by August 10. The day before the expiry, though, shares had sunk almost 14 percent to an all time low after earnings showed larger than expected AI capex, the company’s second worst day on record. The August 7 rally also coincided with the announcement of a $16.8 billion joint AI semiconductor factory with Tesla. One analysis argues most of those unlocked shares had not yet reached anyone in a position to sell them. The market is still forward looking. A widely advertised event is usually an event that has already been argued into the price. The pop had more than one catalyst sitting underneath it.

Around the same time, Harvard Management Company disclosed about 12.94 million shares worth $2.2 billion, the single largest holding in its $4.26 billion reported U.S. stock portfolio. Harvard oversaw about $57 billion as of June 2025, so the position is still a fraction of the full endowment, but a 50 percent weight in one high growth name inside the public equity sleeve is not a weight most endowments keep forever. If Harvard is a signal for other pre IPO holders who now have a public mark and a need to rebalance, selling could become a short term drag. Cathie Wood loading up through ARK Invest cuts the other way, or maybe it is a contrary indicator, depending on how much weight you give the Cramer comparison.

Disclosed university endowment holdings were estimated around $3.5 billion directly, or $4 to $6 billion in a wider range. Against a $1.85 trillion company those blocks are real money and still small relative to the market cap.

Upcoming lockup dates on the table were September 10, September 25, October 10, and October 25, about 7 percent each, matching the published schedule of five smaller time based tranches at roughly day 70, 90, 105, 120, and 135 after the June 12 IPO. A day 70 tranche had already passed around August 20 to 21, just before this meeting. One of the remaining days will probably produce a down tape just because markets enjoy an excuse. Two longer dated caveats also landed. Quarterly disclosures will now show more about customers, governments, and funding sources. Political risk around Starlink contracts is harder to model. During the IPO process SpaceX’s advisers lobbied the index providers to change their inclusion rules because SpaceX is SpaceX, and it mostly worked. Nasdaq adopted a fast entry rule letting top 40 market cap newcomers join the Nasdaq 100 within 15 trading days, which put SPCX in that index by July 7, and FTSE Russell rewrote its eligibility rules as well. The S&P 500 was the holdout. S&P Dow Jones rejected its own fast track proposal in June and kept its 12 month seasoning and GAAP profitability requirements, the same screen Tesla failed for a decade, so SPCX cannot join the benchmark until mid 2027 at the earliest. Size and influence can rewrite most of the checklist, though not all of it. Jeff Bezos has been lobbying the current White House that the government does not have to rely on Starlink, that Blue Origin could stand up an alternative. Contracts that deep are difficult to unwind, and they are not impossible to pressure after a political shift. The 2028 election was described as potentially the most market moving one in memory because of how much AI, data centers, China, and domestic politics are now tied together. Markets drop on uncertainty. Midterms this year are an earlier version of the same problem.

John Hockberger asked whether it makes sense to hold both SpaceX and Tesla. Victor owns both, in different accounts, and would rather own SpaceX. He just does not want to pay the capital gains on Tesla. Elon has denied acquisition rumors.

Tesla’s robotaxi permits in Las Vegas are a real opening, and the numbers that circulated in the room had the approval backwards. On August 20, four days before this meeting, Nevada regulators unanimously approved permits for Tesla, Waymo, and Uber to run commercial robotaxis in Clark County, authorizing up to 8,000 driverless vehicles over 12 months. Tesla drew the largest allocation, around 5,000. Tesla’s Cybercab chief engineer said the company expects to field around 2,500 within the year and called 5,000 a ceiling. Waymo was cleared for up to 1,000. The Optimus story, factory retooling away from cars, and the idea that most Teslas could eventually be imported all remain live. Victor has cooled on Tesla’s full self driving path because Waymo looks like a real competitor and the near term market may look more like a duopoly. Institutional access during the SpaceX IPO roadshow was treated as a constructive signal.

Tesla still has one lucky break the Detroit incumbents handed it: several traditional automakers scrapped EV programs. If cars become a service, that decision looks worse with time. Omar and John Donners put a longer clock on it, with John Donners speaking from his transportation consulting background. Roughly one in four or five U.S. jobs still ties into the auto industry in some way. Some municipalities are pouring money into EV infrastructure. Others are kicking the can. Illinois is investing more than most, and the speed of that buildout will shape how fast the rest of the auto industry actually feels it. Autonomous vehicles are on the horizon, and the rollout outside San Francisco, Phoenix, a few Chicago pilots, and a couple of East Coast programs remains slow. The public has tolerated Tesla Autopilot accidents more than people expected, partly because there is often still someone behind the wheel. A single sensational headline of a fully autonomous vehicle killing a pedestrian could freeze the politics anyway. A pandemic style shock could compress the timeline the way Covid compressed remote work. Absent that, the physical world still moves on permitting, public opinion, and local government time.

Cybercab’s Austin reveal on September 3, 2026, was parked as a topic for the next meeting.

5. Moderna, mRNA Cancer Vaccines, and Healthcare as an AI Second Order Play

Moderna (MRNA) produced one of the longest stretches of the night. The room switched to Grok for most of it. Claude had been fighting with citation and site index errors during live lookups that evening and is more restrictive on biological questions.

Shares had exploded after positive Phase 3 top line results from INTerpath-001, announced August 19, for a personalized neoantigen mRNA vaccine given with Merck’s (MRK) Keytruda. The trial enrolled 1,137 patients randomized 2 to 1 between the combination and Keytruda alone. It met the primary endpoint of recurrence free survival and a key secondary endpoint of distant metastasis free survival. It is the first positive Phase 3 result for any mRNA based cancer vaccine and the first for an individualized neoantigen therapy. Earlier Phase 2b data had shown a 49 percent reduction in the risk of recurrence or death, with five year follow up still in view.

Merck climbed more than 12 percent on a market cap around $333 billion, adding roughly $40 billion of value, comparable in dollars to Moderna’s entire move and a huge single day for a mega cap, even if the percentage bounce looked modest. Moderna closed at $174.38, up 177 percent, with market cap rising from about $25 billion to $69 billion, then fell about 20 percent the next morning. By meeting day the name sat in the high $50 billions, around $56 to $58 billion, still up well over 100 percent from the pre news $25 billion.

The company history is the context for why the move matters. Moderna spent years looking like not much. Then Covid arrived and a mid cap upstart produced a vaccine alongside Johnson & Johnson (JNJ). The stock ran from the teens toward the $400 to $500 area, split adjusted, in about a year and a half. Financials never fully justified that peak. The stock then collapsed back toward pre Covid levels around $20. This melanoma readout is the first clean signal since then that the mRNA platform may work beyond infectious disease.

Set that beside Novo Nordisk (NVO), which the group recently dumped. Novo has GLP-1s, a low forward multiple, free cash flow, and a dividend, and it also has execution problems. That combination can be a value trap. Moderna is the opposite shape: cash burning, likely heading toward another offering, financially ugly, and now carrying a platform narrative the market is willing to capitalize.

A short primer on why the pipeline language matters. Phase 1 mostly answers whether the drug is safe enough to keep testing. It does not prove the treatment works. Phase 2 asks whether there is a real signal in a smaller sample. Phase 3 asks whether that signal holds up in a larger one. Once a program is in Phase 2 or 3, especially Phase 3, it has legs. The Merck partnership spans nine Phase 2 to 3 trials across tumor types, including non small cell lung cancer, renal cell carcinoma, and bladder cancer. Melanoma peak sales estimates in the $1.4 to $3 billion range do not justify a high $50 billions valuation by themselves. Non small cell lung cancer may be the larger prize, with peak sales talk in the mid to high single digit billions, or up to about $16.8 billion by 2035 in some of the more aggressive numbers. The current valuation assumes a meaningful probability that more of those trials work.

Gilead Sciences (GILD), now around $182 billion, was the historical rhyme: a speculative biotech that hit HIV and hepatitis C and became a cash cow. Moderna is already expensive relative to that early Gilead. The premium is the point. The stock probably does not go back to the pre news price unless the story itself breaks. If it does, that would be the value discussion. These names do not trade like other stocks. Pipeline, FDA process, and binary trial readouts dominate, which is why the Discord has a dedicated biotech screener.

CEO Stéphane Bancel has been in the seat since October 2011, shortly after the 2010 founding. He came in as an operational leader, was early, and has been there through every stage since. Founder led public companies have a long record of outperforming hired operators when the market shifts and the company has to pivot. Meta still exists as a social company because of Zuckerberg. Elon’s companies rhyme with that pattern. Moderna sits in a different category from SpaceX, with some of the same “they actually have something” quality.

Al Pakrosnis’s question cut to the investment problem. As models improve, more domain specialists will be able to connect dots they could not connect alone. The isolated Twitter stories the group covered earlier in the summer start looking like early signals. Paul Conyngham, a Sydney tech entrepreneur with a machine learning background and no biology training, spent a few thousand dollars sequencing his dog Rosie’s tumor DNA, used ChatGPT and AlphaFold to identify the neoantigens driving her cancer, and worked with the RNA Institute at the University of New South Wales to manufacture a personalized mRNA vaccine, the same modality Moderna just took through Phase 3, that shrank her largest tumor by roughly 75 percent. Douglas Yao, a computational biologist, went viral claiming that an AI-assisted lab built in his home garage produced an Alzheimer’s candidate, PAC-832, with models designing thousands of molecules and AI-programmed robotics running the screening. Neither result is vetted. Rosie is a single veterinary case, given alongside immunotherapy and not called a cure even by Conyngham, and Yao’s work remains self-reported without peer review. The signal is not any individual outcome. It is that solo operators with AI tools can now run discovery workflows that until recently required an institution, exactly the capability diffusion Leopold Aschenbrenner’s Situational Awareness thesis pointed at when it flagged biotech as the place the inflection would show up. Moderna may be the public company version of that moment.

Direct comps discussed included BioNTech (BNTX), about $28 billion after its own 22 percent sympathy day, another mRNA name with a Covid history and a deep oncology pipeline; Arcturus Therapeutics (ARCT), a much smaller cystic fibrosis mRNA name around a $400 million market cap that has been running in sympathy; Intellia Therapeutics (NTLA) in CRISPR gene editing; and Recursion Pharmaceuticals (RXRX) on the AI drug discovery side. ARCT was floated as a possible short after a sharp move. Shorting these names into extended advances is a very specific kind of pain. They can keep going for longer than a clean chart says they should.

Victor’s counterpoint was the large cap pharma model. Big companies buy the small ones. Johnson & Johnson, Abbott Laboratories (ABT), and Pfizer (PFE) all ticked up with Moderna. Efficient market theory would say an Alzheimer’s cure over the next 10 to 20 years is already in terminal values. The fact that the whole group bid together is a reminder that those models are mostly vibes in the terminal year. If you do not want to pick the lotto ticket, sector vehicles start to look reasonable. The iShares U.S. Healthcare ETF (IYH) holds Eli Lilly (LLY) around 15 percent, then Johnson & Johnson, AbbVie (ABBV), Merck, UnitedHealth Group (UNH), and others. That is the slower, more value flavored way to own the same demographic and innovation tailwinds.

Healthcare has been a portfolio pivot for the group already, including BrightSpring Health Services (BTSG) on the end of life and specialty care side and Hims & Hers Health (HIMS) on peptides and consumer distribution. The AI bottleneck conversation usually goes to power, chips, and data centers. Healthcare may be the second order version: the industry that quietly absorbs the models.

Quinn added GE HealthCare (GEHC), a name that had not come up despite all the prompting. GE split into three companies. The healthcare piece is a dominant hospital hardware franchise in radiology and diagnostics, with a heavy acquisition record and, by Quinn’s reading, the most AI patents among healthcare companies. It is med tech more than drug discovery, closer in spirit to Intuitive Surgical (ISRG) than to Moderna. Slow, installed base, AI going into machines that already sit in hospitals. That is often what a durable second order investment looks like.

Diana asked the question underneath all of this: whose AI are these companies actually using? The short version is that large biopharmas mix internal platforms with frontier labs. OpenAI shows up with Moderna, Novo, and Thermo Fisher Scientific (TMO). Anthropic shows up with Bristol Myers Squibb (BMY), Novo, Sanofi (SNY), and AstraZeneca (AZN). Google DeepMind, despite some talent departures, still sits with Eli Lilly, Novartis (NVS), and Johnson & Johnson through tools like AlphaFold. Everyone still sits on Nvidia underneath. Amazon came up as the boring, well positioned infrastructure answer across a lot of this work, and as a name the portfolio could still add. If LLM inference keeps getting cheaper, the models themselves start looking more like commodities, with oil boom parallels. The pick and shovel layer remains. Veeva Systems (VEEV), already in the group’s orbit, sells the clinical trial and regulatory software a lot of these companies run on. The group timed that one well.

Health insurers were left as an open thought. Fewer people dying of cancer should, in theory, help the cost structure. Waiting on politicians to fix insurance looks like a losing bet. Innovation driving costs down would be the actual solution. Moderna is one data point, and it will not be the last.

6. Flock Cameras, Axon, and Owning the Surveillance State You Dislike

Flock cameras came up next, and the room did not pretend the topic is comfortable.

Flock Safety is the Atlanta based private company behind a large share of the automated license plate reader cameras going up across the United States. The stated use case is stolen vehicles, missing persons, and crime solving. The objection is that a tool built to catch criminals can become a surveillance layer, with the same flavor of system people used to associate with China. News stories keep landing on the worst version: stalking, exes, cops using the network for things that have nothing to do with a missing van.

One legal framing in the room was that Flock quietly shifts the constitutional default. Enough location data, and you start having to prove innocence after the camera has already built a story about where you were. Clearance rates, the statistic Flock likes, measure closed cases. They do not measure whether the person was guilty.

The company’s own numbers, which should be treated as marketing, claim support for more than 1 million investigations, assistance in about 20 percent of cleared cases in deployed jurisdictions, more than 10,000 missing persons located, and involvement in a large share of stolen vehicle recoveries in some areas. A TCU analysis was cited as finding that adding one Flock camera per sworn officer lined up with about a 9.1 percent increase in quarterly clearance rates. Oakland reported an 11 percent improvement in violent crime clearance after deployment. Cleveland’s figures were in the 15 to 18 percent range. Flock also claims involvement in roughly 10 percent of reported U.S. crime. Independent evidence is mixed, vehicle heavy, and early.

Quinn’s distrust was more specific. The Instagram bio says Flock brought 10,000 plus missing people home. Confirming that those people were actually recovered, as opposed to a plate being scanned, is much harder. Flock also has multiple products, including pure plate readers and systems aimed at watching people. Activists cutting down plate readers while describing them as people trackers is part of the information war around the company. AI misreads on plates have already produced the wrong car being pulled over.

The hate cycle had already turned into product changes. On August 13, Flock announced it will cut default data retention to seven days from 30, and implement mandatory case codes and automated misuse checks, with CEO Garrett Langley saying “We got this one wrong,” after more than 50 jurisdictions ended or paused agreements. There is also a documented pattern of cities cutting Flock cameras and then advancing Axon (AXON) automated license plate reader contracts, which fits Victor’s long the watcher framing.

None of that makes the technology go away. Market share estimates, from Flock friendly sources, put Flock around 80 to 82 percent, Motorola Solutions (MSI) around 5 percent, and Axon with a smaller slice plus other lines of business. Flock’s most recent round, disclosed in April 2026, was about $500 million at roughly an $8.3 billion valuation, a modest step up from the $275 million round at $7.5 billion in March 2025 that Andreessen Horowitz led with Founders Fund participating, which is the Peter Thiel connection even if Flock does not work directly with Palantir Technologies (PLTR). Axon was an early investor and partner, then severed the relationship. They are now rivals. Axon sits around a $48 billion market cap.

Victor’s framework was the most honest one in the room. He dislikes the surveillance state, owns Axon, has owned Palantir longer, and treats those positions as an emotional hedge. People vote against their own interests often enough that the cameras are probably arriving anyway. If you are going to be watched, you might as well be long the watcher. Palantir is already inside government in a way that does not unwind cleanly when administrations change. Flock is catching the current hate cycle. News cycles move. An Axon acquisition that retires the Flock name would fit the pattern of burying a scandal inside a larger brand.

Axon already has a monopoly on police body cameras. The overlap with Flock is small today. The shared end state is the dystopian one: drones as first responders, cameras as the dispatch layer, something out of Robocop. Historical industrial booms produced wealth gaps, protests, and a long messy middle before the gains were broadly felt. AI looks like that kind of boom. Security, defense, and surveillance names are one of the trades that benefit from the volatility even when the social outcome is ugly. That is also why 2028 keeps coming up. Growth from AI and unrest from AI can show up in the same decade.

7. Bally’s, River West, and a Casino Company Getting Squeezed From Every Side

Bally’s (BALY) was the local story of the night, and it is a reminder that not every investment story in this group has to be a technology compounder. Some of them are slow bleeds.

Bally’s paused construction on most of the non gaming pieces of its $1.7 billion River West casino project, citing a gaming dispute with the City of Chicago over video gambling terminals. The 2026 budget lifted Chicago’s ban on those terminals. Bally’s argues that violates the 2022 deal. The casino floor is still pointed at early 2027. The hotel tower, event center, and restaurants are paused. For a mixed use project, pausing the non gaming amenities is pausing most of what makes the project a destination.

The dispute is a convenient story. The financials are the more convincing one. Bally’s is a highly levered operator that has been in distress for a while. Market cap around $467 million against an enterprise value around $8 billion tells you the debt load. The second quarter 10-Q, filed August 14, a couple of days after the pause, included the phrase “substantial doubt” about its ability to continue as a going concern. That language is anchored to the Bally’s Chicago entity, and the company says the disclosure is based on a forward looking technical accounting analysis that considers only unconditionally secured funding. Fair enough as a caveat. The cash problem is still the cash problem. Absent new financing, the company does not currently expect to satisfy liquidity and leverage requirements under its revolving credit facility. Bally’s Chicago ran a loss of $56.4 million over the first half of 2026 and has an accumulated deficit of $233.3 million.

Mario’s construction view was that cash flow is the real constraint. Building in Chicago with required union labor is expensive. Delay too long, and restarting becomes prohibitive. One pitch from the Bally’s side is to finish the casino floor first and push the hotel and restaurants later. That still leaves the cash problem unsolved. A buyer of the whole company is the cleaner endgame.

Physical casinos have a demand problem on top of the balance sheet problem. Sports betting, prediction markets, and phone based trading have turned gambling into something you can do from a barstool or a couch. DraftKings (DKNG) sits around a $13 billion market cap after a rough stretch that cut its value roughly 40 percent in a year. Add Flutter Entertainment (FLUT), owner of FanDuel, at around $17 billion, and the two big phone books together stack up against Las Vegas Sands (LVS) at around $32 billion. Kalshi and Polymarket are private and already in the tens of billions of valuation. DraftKings’ in person kiosks at the Wrigley Field bar were shut down, likely because nobody used them when the phone was already in hand. That bar then closed entirely.

Video gambling terminals and slot machines in neighborhood bars, including Hawkeye’s near UIC, remove another reason to travel to a casino floor. Quinn’s line was simple: if you want sports, you bet on your phone. If you want slots, you walk to the bar. Bally’s has an app in the sense that most casino companies have an app. DraftKings built an interface, a customer base, and a habit. Shipping a login screen does none of that by itself.

Ownership adds another sour note. Standard General L.P. owns about 65 percent. The company was sold out of Caesars Entertainment (CZR) related structures around 2020 through a New York VC path, with Twin River in the history. Noel Hayden, who built Gamesys, owns about 4.9 percent. Whether this is a version of stripping the useful assets and leaving the public vehicle with the debt is an open and ugly question. Chicago may have been sold a developer that cannot actually finish the job on the original timeline.

Comparables do not rescue the equity. The Fontainebleau in Las Vegas started in 2007 and did not open until 2023, stopping first for Lehman and then for Covid. These projects are cyclical and unforgiving if you build at the wrong time. Las Vegas itself has already pivoted toward high end celebrity weekend traffic. Foot traffic is down. High end spend has kept the top of the K shaped economy roughly whole. Water is the longer term constraint there. Atlantic City is the version of this story that already lost. Macau has been the brighter international tape, which is why Las Vegas Sands, despite the name, is now mostly a Macau and Singapore bet after selling its Vegas assets. MGM Resorts (MGM) is the more balanced mix of Vegas, Macau, and online.

The Chicago project still talks about roughly 500 hotel rooms and a 3,000 seat entertainment space. Even if the building eventually opens and does $800 million of revenue, the recoup timeline on this debt stack is measured in many years, and refinancing into higher rates eats the medium term. Someone like MGM could take it over for scraps. The equity, meanwhile, looks like a candidate for repeated dilutive offerings, reverse splits, and an AMC Entertainment (AMC) style long grind lower.

Al Pakrosnis asked for the bull case. The room did not really have one. That is why Bally’s came up as a slow bleed short candidate for people who want an extended hedge, with all of the usual shorting caveats attached. The casino in River West can still get built. Bally’s as a stock does not have to be the thing that wins from that building.

8. Lightning Round

AEVEX (AVEX). Quinn opened with AEVEX, ticker AVEX on the NYSE, a recently public drone and autonomous warfare company. It raised $320 million selling 16 million shares at $20, valuing the group at $2.2 billion, and began trading April 17. The stock has traded well above the $20 offer price since. The company has been supplying drones to Ukraine since 2022, with more than 9,300 systems delivered or committed across Phoenix Ghost and EUCOM Deep Strike, and more than 10,200 expected by the end of 2026. Contracts with the U.S. government were 78 percent of 2025 revenue of $432.9 million, most of it from Ukraine, which is both concentration risk and a demand signal. They are at capacity and trying to scale production. The business includes a software layer, U.S. Air Force and Army unmanned mission work, NATO and Indo Pacific exposure, and a wildfire intelligence product, alongside the airframes. Defense spending, Ukraine, Taiwan contingencies, and the same security tailwinds discussed earlier all sit behind the name. Speculative, and closer to investable than most of the drone ideas the group has kicked around, because so few pure public vehicles exist.

Unitree. Unitree’s Shanghai debut came up next. The Chinese humanoid robotics company closed its first day up about 460 percent after raising $904 million, becoming the first listed humanoid robot maker in mainland China, at a market value of around $50 billion, with DeepSeek among the investors. Revenue rose to 1.70 billion yuan in 2025, about $235 million, with a net profit of 278.21 million yuan, and the company shipped more than 5,000 humanoid units. Real sales and a real profit are what separate Unitree from the typical robotics listing. The valuation is still wild relative to those fundamentals. STAR Market pricing rules also produce structural underpricing: CXMT surged 466 percent on its debut on the same exchange last month, with only 10 percent of shares floated, so the first day pop says as much about the listing mechanics as it does about the robots. China’s hardware stack, especially around Shenzhen, is the industrial argument. Robots assembling cars, humanoids running, and Waymos already flooding Santa Monica are the same movie at different frames. You either believe the story enough to sit through an 80 percent drawdown, or you do not. Interactive Brokers is the practical path for people who want the shares.

Albemarle (ALB). Michelle raised Albemarle, a top lithium producer around a $16 billion market cap with beaten down value metrics and vertical integration across lithium, bromine, and energy storage. About half of net sales tie to new energy end markets, with operations in Australia, North Carolina, Chile, and Nevada. Morningstar’s $200 target is the usual analyst optimism and still useful as a reminder that the market has already punished the name. This is a pick and shovel on batteries, EVs, and storage, one layer below which robotaxi brand wins. It is the kind of mid cap, off the beaten path name the portfolio process is built to consider.

Bachem (BCHMY) and WuXi TIDES. Al Pakrosnis brought two non U.S. peptide manufacturers. Nobody really makes finished peptides at scale in the United States. If the group’s peptide thesis is about selling pickaxes into a gold rush, the manufacturers sit closer to the source than Hims, which is a distribution and consumer brand bet. Bachem is Swiss, trades on OTC as BCHMY, and already supplies a lot of the Western research chemical channel through looser Swiss rules and third party testing. WuXi TIDES is the Chinese analog, also available in a thin OTC listing, with a much larger implied market cap and much worse liquidity (average volume around 2,000 shares). The Swiss company earns better margins on Western contracts. The Chinese product is cheaper and has a harder time clearing regulatory doors.

The point of going downstream is regulatory agnosticism. There is a doctor prescribed channel and a gray market channel. Which one explodes is a coin toss that depends on FDA process. If you think peptides become a much bigger thing and you do not want to bet on that coin toss, you buy the ingredients. API manufacturing is the unglamorous layer that keeps showing up in the prompts. Novo will play more by FDA rules. These names are how you own the input either way.

Closing Thoughts

The August 24 meeting was a tour of second order effects.

CID HoldCo was a lesson in halt mechanics, overnight liquidity, and why a crazy Monday often seeds easier sympathy trades later in the week. A distressed sub $5 million name with a delisting cloud and a loan default does not need a press release to run 300 percent. Nasdaq adding nearly 23 hour trading and Cboe opening a pre market options window for mega caps is the same lesson written into market structure. More hours, more leverage, more opportunities to get rich or get wrecked in names that do not need news.

Iran remains a headline machine that oil has partly learned to fade. WTI in the $80s, Brent in the low $90s, and a rial that makes millionaires out of $1 bills is the human detail. The investment detail is that collapsing currencies pull people into dollar stablecoins more than into Bitcoin.

Crypto still does not sit cleanly in an asset allocation model. That is exactly why the listed wrappers, the miners that hold coins, the miners that sell coins and pivot to AI, and the ETH versus BTC relative value trade are more useful than a generic “everyone should own some.” Volatility is the product. Position sizing is the job.

Grok 4.6 closing the benchmark gap at 84 cents a task is less important than the stack around it. SpaceX is the bet that ecosystem, distribution, launch, spectrum, and compute can turn a close enough model into a monopoly attempt. Lockups, endowment rebalancing, a $16.8 billion chip plant with Tesla, Cathie Wood, and Elon’s tweets will all create noise. Quarterly filings and politics will create actual information. Tesla’s Vegas robotaxi permit is a 5,000 vehicle ceiling with a 2,500 near term plan, and Cybercab’s Austin night is September 3.

Moderna is the first public biotech in this cycle that looks like the AI drug discovery thesis leaving Twitter and hitting Phase 3. The financials are still a burn. The pipeline is why the market recapitalized it in a day, and Merck’s 12 percent move shows the dollar value can show up in the giant as well as the specialist. Healthcare, from GE HealthCare’s installed imaging base to Veeva’s trial software to IYH’s large cap mix, may be one of the better ways to own AI’s consequences without having to win the infrastructure lottery.

Flock and Axon force a different kind of honesty. You can hate the destination and still recognize the cash flows. More than 50 jurisdictions paused or ended Flock deals, Langley said they got it wrong, and cities that pull Flock cameras have a habit of shopping Axon next. Industrial booms produce unrest. Unrest produces cameras, drones, and software. Palantir already showed how deep those systems can sit inside the state.

Bally’s is the anti SpaceX. Local politics, union construction, video gambling at the corner bar, DraftKings on the phone, a going concern warning on the Chicago entity, and a $467 million equity stub under $8 billion of enterprise value. Chicago may still get a casino. Shareholders of this vehicle should not confuse the building with the stock.

The lightning round kept returning to the same habit this group has been building all year. If the story is drones, look at who is already selling into Ukraine and the Pentagon, which is how AEVEX showed up. If the story is robots, Unitree has real 2025 revenue and a profit, and a STAR Market pop that still requires an 80 percent drawdown stomach. If the story is EVs and storage, lithium producers with real assets still exist. If the story is peptides, the ingredient makers in Switzerland and China may matter more than the consumer app on this side of the ocean.

We look forward to reconvening on Monday, September 14, at the Union League Club of Chicago. Tesla’s Cybercab moment, Chinese humanoids, and whatever the next small cap circus produces will still be waiting. For anyone who missed the night or wants to revisit a segment, the full recording of the August 24 meeting is available on YouTube (

).

Attendance and Acknowledgements

A sincere thank you to everyone who attended and contributed to another outstanding discussion.

Attending members (listed alphabetically by last name):

Afeef Akhtar

Deepansh Nagdev (media)

Diana Ascencio (interviews, media)

Bill O’Brien

Quinn Basta (photography, recording, transcription, consulting)

Al Pakrosnis (AI systems, website, consulting)

Seamus Cullinan

Omar Pathan

John Donners

Chris Russell

Andree Guillen

Roberto Salgado

John Hockberger (founder, media)

Mario Sanchez (videography, media)

Brian Jung

Victor Sanchez (founder, media)

Jackson Luo

Eric Simpson (founder, moderation, summary, AI systems)

Michelle Maleski

Aditi Singh

Legal Disclaimer

Nothing discussed during this meeting or contained within this summary constitutes financial advice or a recommendation to buy or sell any security. All discussion is intended solely for educational and informational purposes. Members should conduct their own research and consult appropriate financial professionals before making investment decisions.

The week ended with Federal Reserve Chair Kevin Warsh delivering the keynote address at the Jackson Hole Economic Policy Symposium. Warsh refrained from providing explicit forward guidance, but stressed that he did not view financial conditions as restrictive while emphasizing that inflation remains uncomfortably high. Short-term yields climbed following the decidedly hawkish address as market-implied odds of a September rate hike rose to 60%, while long-term yields remained persistently elevated, buoyed by a mix of inflation worries, fiscal concerns, and geopolitical volatility.

Personal Income and Outlays data reinforced the narrative of persistent price pressures. The headline inflation rate for July as measured by the Personal Consumption Expenditures price index held at 3.7%. The core measure, which excludes volatile food and energy components, also held steady at 3.3%. Real income growth continued to be weighed down by higher inflation in July, and was flat on a year-over-year basis.

While inflation remains elevated, other indicators point to slowing economic momentum ahead. Consumer spending slowed in July after a strong second quarter. The second estimate of Q2 GDP confirmed a 1.5% annualized growth rate, down from 2.1% in Q1, with stronger consumer spending offsetting lower government expenditures, decelerating business investment, and a larger trade deficit. Consumer sentiment also retreated in August after nearing its pre-Iran War highs in July.

Week ahead for economic data: Friday’s August employment report will be the centerpiece of this week’s releases after preliminary benchmark revisions revealed lower payrolls growth in the 12 months through March 2026. A strong jobs report would raise the likelihood of a Fed rate hike in September, while a second month of weak or negative payrolls growth may cast further doubt on what the FOMC may do absent more explicit forward guidance. Until then, JOLTS data and ADP private payrolls will offer further labor market context, while speeches by FOMC officials will help shape interest rate expectations.

This report is authored by Saied Toossi, an independent contributor and collaborator of The Investing Group (TIG). The views, analysis, and opinions expressed are solely those of the author and do not represent the official positions of TIG, its founders, or its members. Collaborator content is shared to offer a range of independent perspectives, which may overlap with, differ from, or directly contrast with the views of TIG and of other collaborators; TIG’s own research and commentary may reach different conclusions on the same subject matter. No collaborator speaks on behalf of TIG, and TIG does not endorse, verify, or adopt any collaborator’s views. TIG, its founders, members, and collaborators may hold positions in the securities, sectors, or markets discussed. Nothing herein is financial, investment, legal, or tax advice, or a recommendation or solicitation to buy or sell any security. All content is for educational and informational purposes only.

The FOMC voted to hold interest rates steady in July, but the release of the meeting minutes revealed a hawkish policy debate. Although only three voting members opted to hike rates, others emphasized the need for tightening if inflation fails to cool toward the 2% target, while some non-voting members likely would have joined the three dissenters. The bond market reacted unfavorably to Chair Kevin Warsh’s post-meeting press conference, and yields on longer-term government bonds have been rising since. Corporate debt issuance and the Trump Administration’s fiscal, trade, and foreign policies, and the associated uncertainty, have also propelled the surge in yields.

On the fiscal front, the national debt has crossed $40 trillion while this year’s federal budget deficit is nearing $2 trillion. Trade volatility persists as the collapse of negotiations with Canada sets the stage for another trade war. Geopolitically, the war with Iran is primed for escalation with the threat of secondary sanctions on that country’s trading partners.

The rise in bond yields has also pushed mortgage rates higher. Higher operating costs for developers and monthly payments for prospective buyers continue to put pressure on the housing market. July housing starts dropped 12.4% month-over-month and 13.5% year-over-year as builder sentiment remains weak. Pending home sales also declined. In contrast, industrial production continues to expand, with the New York Fed’s Empire State Manufacturing Index, the Philadelphia Fed Index, and S&P Global PMI pointing to continued growth even as firms report elevated input costs.

Week ahead for economic data: The July Personal Income and Outlays report will provide an update on personal income and spending as well as the Federal Reserve’s preferred core PCE inflation metric. The week will also provide a second estimate of second-quarter GDP and the Bureau of Labor Statistics’ annual benchmark payroll revisions through March 2026 for a clearer view of economic momentum and the labor market. The Jackson Hole Economic Policy Symposium, where Chair Kevin Warsh will deliver a keynote address that will be closely watched for his views on financial conditions, rounds out the week. Also important will be how Iran’s trading partners respond to the threat of secondary sanctions, particularly China.

This report is authored by Saied Toossi, an independent contributor and collaborator of The Investing Group (TIG). The views, analysis, and opinions expressed are solely those of the author and do not represent the official positions of TIG, its founders, or its members. Collaborator content is shared to offer a range of independent perspectives, which may overlap with, differ from, or directly contrast with the views of TIG and of other collaborators; TIG’s own research and commentary may reach different conclusions on the same subject matter. No collaborator speaks on behalf of TIG, and TIG does not endorse, verify, or adopt any collaborator’s views. TIG, its founders, members, and collaborators may hold positions in the securities, sectors, or markets discussed. Nothing herein is financial, investment, legal, or tax advice, or a recommendation or solicitation to buy or sell any security. All content is for educational and informational purposes only.

Consumer demand also softened in July. Retail sales unexpectedly declined month-over-month, with four of the 13 tracked categories contracting. Notably, nonstore (online) sales posted a significant decline, likely reflecting this year’s pull-forward of Amazon Prime Day to June. The weaker print could point to more cautious consumer spending ahead after months of eroding purchasing power due to higher inflation and the exhaustion of the larger tax refunds received earlier this year. The University of Michigan’s preliminary Consumer Sentiment Index for August also fell as attitudes about current and future economic conditions deteriorated. The broad-based declines were driven by worsening outlooks for business conditions and ongoing affordability pressures. In contrast to weakening consumer sentiment, the NFIB’s Small Business Optimism Index rose to its highest level since August 2025, propelled by a surge in employment intentions as labor availability was reported as the leading challenge.

The combination of moderating inflation and PPI figures alongside weaker nonfarm payrolls, softer retail sales, and fragile consumer sentiment has pushed back market expectations for a rate hike beyond the next FOMC meeting in September. Of course, upcoming data releases in advance of the mid-September rate decision could change the narrative if trends over the last two months don’t hold. Tariffs, the wars in Europe and the Middle East, AI spending, and a stronger El Niño effect continue to present risks to inflation.

Week ahead for economic data: The upcoming week shifts focus to central bank policy and early reads on August business momentum. Wednesday’s release of the July FOMC meeting minutes serves as the week’s headline event as market participants seek deeper insight into internal Federal Reserve discussions about the labor market, inflation, and interest rate policy after last month’s press conference by Chair Kevin Warsh raised more questions than answers. Updates on housing starts, building permits, industrial production, and surveys of purchasing managers will provide a read on how supply-side activity is holding up under elevated borrowing costs.

This report is authored by Saied Toossi, an independent contributor and collaborator of The Investing Group (TIG). The views, analysis, and opinions expressed are solely those of the author and do not represent the official positions of TIG, its founders, or its members. Collaborator content is shared to offer a range of independent perspectives, which may overlap with, differ from, or directly contrast with the views of TIG and of other collaborators; TIG’s own research and commentary may reach different conclusions on the same subject matter. No collaborator speaks on behalf of TIG, and TIG does not endorse, verify, or adopt any collaborator’s views. TIG, its founders, members, and collaborators may hold positions in the securities, sectors, or markets discussed. Nothing herein is financial, investment, legal, or tax advice, or a recommendation or solicitation to buy or sell any security. All content is for educational and informational purposes only.

The evening covered a wide range of topics, including micro cap market structure, geopolitics and energy, artificial intelligence infrastructure, portfolio construction, leverage and risk management, hyperscaler earnings, healthcare innovation, peptides, sports business, and a variety of individual investment ideas discussed during the lightning round.

Several themes connected much of the evening. The first was that execution and risk management ultimately matter more than having the correct long term thesis. Whether the subject was Leopold Aschenbrenner’s hedge fund, AI infrastructure companies, or individual portfolio construction, the same idea surfaced throughout the evening. Correctly identifying a secular trend is only one part of successful investing. Position sizing, leverage, liquidity, governance, and disciplined capital allocation often determine whether investors ultimately benefit from being right.

The second theme centered on physical constraints. China, nuclear energy, data centers, and AI infrastructure all reinforced that compute demand continues colliding with limits imposed by electricity generation, fuel supply, transmission infrastructure, and manufacturing capacity. Artificial intelligence continues progressing at an extraordinary pace, but the industries supporting it remain governed by engineering, permitting, and industrial production timelines alongside software development.

The third theme involved incentives. Markets repeatedly demonstrated that prices are influenced not only by business fundamentals but also by the incentives facing governments, hedge funds, management teams, regulators, institutional investors, and even prediction markets. Understanding those incentives often provided a clearer explanation for recent market behavior than following headlines alone.

Perhaps the most enduring lesson throughout the evening was that investing has become an interdisciplinary endeavor. Markets are now shaped simultaneously by technology, engineering, geopolitics, psychology, healthcare, public policy, and market structure. Developing a durable investment framework therefore requires understanding how those disciplines interact instead of viewing each in isolation.

Here is the recap.

1. Chinese Micro Caps, Reverse Splits, and Why Market Structure Continues Driving Extreme Moves

The meeting opened by revisiting another series of extraordinary moves within the low float micro cap market, continuing a theme that has surfaced throughout several recent meetings. The examples showed how modern market structure can produce price movements that bear little resemblance to changes in underlying business value.

The first company discussed was China Pharma Holdings (CPHI), which continued the recent pattern of Chinese biotechnology companies posting dramatic speculative gains. Although CPHI has been publicly listed for many years, its trading behavior closely resembled the wave of recent Chinese micro cap momentum names. On July 21, shares opened at approximately $0.86 before surging to an intraday high above $19, representing a gain of more than 2,100% from the open at the peak. Roughly 81 million shares changed hands during the session, driving the company’s market capitalization from roughly $36 million to more than $328 million within a matter of hours. The move also followed several earlier volatility events during July, showing that these episodes have become a recurring feature of today’s speculative micro cap market.

The discussion examined the mechanics behind these moves. Recent regulatory changes eliminating the Pattern Day Trader rule, together with greater retail participation, easier access to leverage, and brokerage platforms that encourage active trading, have created an environment where extremely small public floats can experience enormous buying pressure over very short periods.

What followed proved equally instructive. One day after the rally, China Pharma announced a registered direct offering of 2.5 million shares priced at $2.00 per share, raising approximately $5 million in gross proceeds despite the stock having closed above $8 after reaching an intraday high above $19 the previous session. Shares immediately sold off following the announcement, providing another example of the financing incentives that often emerge throughout the speculative micro cap universe. Strong momentum can create an opportunity for management teams to raise capital at valuations that may not otherwise be available, often leaving existing shareholders to absorb the resulting dilution. It was also noted that CPHI had completed a one for ten reverse stock split during 2025 and continues operating with a relatively small revenue base, providing additional context for why access to capital remains an important consideration.

The discussion emphasized that these events should no longer be viewed as unusual. Reverse splits, aggressive dilution, secondary offerings, and repeated capital raises continue appearing across many lower quality micro cap issuers. Understanding those incentives has become just as important as evaluating charts or financial statements.

The conversation then moved to another recent example, DFNS, formerly known as NUKK. Frequent name and ticker changes have become a familiar feature across portions of the speculative micro cap universe, making it easy for investors to overlook a company’s prior operating and trading history. DFNS, a U.S. listed company with Israeli operations, experienced extraordinary volatility following a one for 125 reverse stock split that became effective during July.

A reverse split by itself does not create value. However, it dramatically reduces the number of shares available for trading while increasing the quoted share price, frequently creating conditions where relatively modest buying pressure can generate explosive price movements.

DFNS provided another clear example of those mechanics. Following the reverse split, shares climbed from roughly $3 to more than $100 over only a few trading sessions before retracing a significant portion of the advance. By the time of the meeting, the stock had already begun another powerful rally, demonstrating how these extremely small float securities can remain highly volatile long after the initial move.

Following the reverse split, the company’s outstanding share count fell to roughly 1.12 million shares, with the effective public float believed to be even smaller after accounting for insider ownership and other concentrated holdings. A recently disclosed 13D filing showing a sizable ownership position further tightened the supply of shares available for trading. Under those conditions, daily trading volume can turn over the effective float multiple times within a single session, allowing supply and demand dynamics to overwhelm traditional valuation.

The discussion also touched on another pattern that has emerged over recent years. Israeli affiliated micro cap companies, much like many recent Chinese issuers, have repeatedly appeared among the market’s most volatile securities. While each company has its own unique circumstances, these securities often share structural characteristics including very small floats, reverse splits, aggressive financing activity, and rapid price movements driven primarily by market mechanics instead of business fundamentals.

These examples highlighted several characteristics that continue defining today’s speculative micro cap market. During periods of speculation, the number of shares actually available for trading can become more influential than total shares outstanding or even company fundamentals. Financing incentives also help explain subsequent price behavior, as companies with limited operating cash flow often have every incentive to issue stock following dramatic rallies, making balance sheet analysis and future capital needs essential considerations. Liquidity, positioning, leverage, float dynamics, and investor psychology frequently determine short term outcomes far more than discounted cash flow models or traditional financial metrics.

2. Iran, Saudi Arabia, Nuclear Power, and the Global Energy Competition

Geopolitics once again became an important topic, although this time the discussion expanded beyond the military conflict itself and toward its implications for long term energy infrastructure and global competition.

Recent coordinated military action by the U.S. and Saudi Arabia against Iranian aligned groups in Iraq prompted discussion regarding the strategic relationship developing between both countries. The joint strikes on July 28 and 29 followed attacks against American forces and Saudi energy infrastructure, including a July 25 strike on the Saudi Aramco refinery in Jizan. Saudi participation was notable given the kingdom’s previous efforts to limit its direct involvement in the conflict, while the operation also drew a strong response from Iraq after reported casualties among the Popular Mobilization Forces, an umbrella organization of mostly Iraqi armed groups that includes several Iran aligned militias.

The relationship extends well beyond the immediate conflict. On July 23, the U.S. and Saudi Arabia signed a civilian nuclear cooperation agreement designed to support the development of Saudi nuclear infrastructure. The agreement remains subject to congressional review, and one of its most important unresolved questions involves uranium enrichment. Reports have suggested the framework could eventually open a path toward domestic enrichment following additional study, while the administration has given conflicting signals regarding whether enrichment is actually included. The uncertainty leaves an important part of the agreement unresolved as both countries pursue a deeper energy and security relationship.

The arrangement was viewed as another indication of shifting relationships throughout the Middle East, where energy policy, national security, and diplomacy have become closely interconnected. It could also create second order investment opportunities extending beyond traditional energy producers. American companies involved in engineering, construction, nuclear infrastructure, fuel production, and related industrial supply chains could benefit if large international nuclear projects move forward.

That brought the conversation toward one of the evening’s larger themes: electricity and the physical infrastructure required to support artificial intelligence.

While the U.S. continues leading many areas of AI development, concerns remain over whether the country is expanding electricity generation quickly enough to support that leadership over the long term. China served as the primary comparison. Its electricity system has expanded at a scale that remains difficult to match, spanning nuclear power, coal, solar, wind, transmission infrastructure, and other forms of generation.

The numbers help illustrate the difference. China generated roughly 9,400 TWh of electricity in 2024 compared with approximately 4,300 TWh in the U.S., more than twice as much total generation. China also added roughly 429 GW of generating capacity during 2024 alone, while its solar, wind, and nuclear fleets have continued expanding rapidly. The scale of this buildout matters for AI because access to electricity ultimately determines how much computing infrastructure can actually be deployed.

Export controls may slow Chinese access to the most advanced semiconductor technology, yet abundant electricity could offset part of that disadvantage by supporting much larger deployments of less advanced hardware. Superior chips provide an important advantage, but their economic value still depends on having sufficient power to operate them. As AI infrastructure expands, electricity generation, transmission, and access to reliable power could become just as important to national competitiveness as semiconductor performance itself.

Recent public comments from Elon Musk reinforced this point. Musk has argued that China’s long term advantage in AI could emerge from its ability to scale electricity generation and eventually semiconductor production, allowing the country to deploy enormous amounts of compute. His estimate that Chinese electricity production could approach three times U.S. output runs ahead of current data, with the actual ratio closer to roughly 2.2 to 2.4 times, although the direction of the argument remains important. Other industry research has raised similar concerns that power availability could become a limiting factor for U.S. AI infrastructure while China maintains substantial excess generating capacity.

Space based computing also briefly entered the discussion. The concept has gained credibility as major technology companies explore hardware designed for orbital AI workloads, including Nvidia’s (NVDA) work on computing systems intended for space. It was also noted that thermal management remains a significant obstacle because heat in a vacuum must be dissipated primarily through radiation instead of convection. The technology may eventually become viable for certain workloads, though terrestrial data centers and their supporting power infrastructure were viewed as the more relevant opportunity for the foreseeable future.

The comparison between the U.S. and China also raised questions about how their different economic systems influence infrastructure development. China’s centralized planning has allowed the country to expand pharmaceutical manufacturing, nuclear generation, coal capacity, renewable energy, transmission networks, and industrial production at enormous scale over relatively short periods. The U.S. relies much more heavily on private sector investment supported by government policy, incentives, financing, and regulation.

Neither system was treated as universally superior. The point was that their different structures can produce very different outcomes when an industry requires enormous amounts of capital, physical infrastructure, permitting, and long term planning. Understanding those differences becomes especially important when evaluating competition in industries such as AI, energy, semiconductors, and advanced manufacturing.

Small modular reactors also returned as a topic. Enthusiasm surrounding SMRs remains substantial, especially among investors seeking exposure to next generation nuclear technology through companies such as Oklo (OKLO) and NuScale Power (SMR), although widespread commercialization likely remains years away. Current designs generally produce considerably less electricity than conventional nuclear reactors, which can limit their usefulness for the largest power requirements while still offering potential advantages for smaller or more distributed deployments.

The discussion also revisited Centrus Energy (LEU), one of the few publicly traded companies positioned to benefit directly from efforts to rebuild domestic uranium enrichment capacity. The stock had previously underperformed expectations, but the company’s fundamental position had improved materially heading into the meeting. On July 1, Centrus announced a $900 million Department of Energy task order to expand commercial scale production of high assay low enriched uranium, or HALEU, at its Piketon, Ohio facility, with total potential contract value reaching approximately $1.07 billion including options. The initial expansion targets 12 metric tons of annual HALEU capacity, adding another meaningful catalyst to a business already supported by a multibillion dollar order backlog.

That development reinforced the view that nuclear fuel production could represent a more durable long term opportunity than many speculative pre revenue reactor developers. Centrus still carries execution, valuation, financing, and commercialization risks, but it occupies a strategically important position in a part of the nuclear supply chain that the U.S. is actively attempting to rebuild.

The larger investment point was that identifying an attractive theme does not automatically identify an attractive investment. Nuclear power may play a much larger role in global electricity generation over the coming decades, yet individual companies can still struggle because of valuation, financing requirements, commercialization timelines, execution risk, or weak business economics. Utilities, SMR developers, fuel suppliers, and nuclear infrastructure companies each provide very different forms of exposure to the same underlying trend.

As AI demand places greater pressure on global electricity systems, the competition to build generation capacity, secure nuclear fuel, expand transmission infrastructure, and provide reliable power could become one of the defining industrial investment themes of the coming decade. The U.S. and China are approaching that challenge through very different economic systems, and the companies ultimately positioned to benefit will depend as much on execution and economics as on the strength of the underlying energy theme.

3. Leopold Aschenbrenner, Situational Awareness, Leverage, and One of the Largest Fund Liquidations in Recent Memory

The evening’s longest discussion centered on the severe losses and forced portfolio unwind at Leopold Aschenbrenner’s hedge fund, an episode that became one of the most instructive case studies in portfolio management, leverage, and risk control during the current AI investment cycle.

Aschenbrenner graduated from Columbia University as valedictorian at age 19 before beginning his career at the FTX Future Fund, the philanthropic operation associated with Sam Bankman-Fried’s FTX, and later joining OpenAI as a researcher. He gained widespread recognition in 2024 following the publication of Situational Awareness, his lengthy essay arguing that artificial intelligence was entering a period of exponential capability growth driven by scaling laws, compute expansion, and massive infrastructure investment. In July 2024, he launched his hedge fund, Situational Awareness LP, translating many of those ideas directly into an investment strategy centered on the companies and infrastructure expected to benefit from rapid AI development. Despite entering professional money management without a traditional investing background, the fund attracted substantial outside capital and quickly built an extraordinary early track record.

The portfolio closely reflected Aschenbrenner’s AI thesis, although its actual positioning was considerably more complex than simply owning a collection of AI stocks. Situational Awareness maintained large direct equity positions across power, data centers, storage, compute infrastructure, and related businesses while layering an extensive options book and short positions across other parts of technology.

The fund’s largest known direct stock position as of its latest disclosures was Nebius Group (NBIS), followed by Bloom Energy (BE), Sandisk (SNDK), and CoreWeave (CRWV). Situational Awareness also held long positions in SK Hynix (SKHY), IREN (IREN), Core Scientific (CORZ), Applied Digital (APLD), and other companies tied to AI infrastructure, power, semiconductors, data centers, and compute. Together, these holdings created substantial concentrated exposure to the physical buildout required to support artificial intelligence.

The portfolio extended well beyond those direct stock positions. Situational Awareness maintained a large options book involving companies including Nvidia (NVDA), Micron Technology (MU), Broadcom (AVGO), Oracle (ORCL), Advanced Micro Devices (AMD), ASML Holding (ASML), and others. Some names appeared through puts, others through calls, and several through combinations of options and common stock. The public filings provide only a partial picture because 13Fs do not disclose short stock positions and offer limited information about the economics behind reported options positions.

That became especially important during the July reversal. Reporting indicated that Situational Awareness was also short software stocks, including Adobe (ADBE), and those positions moved against the fund as software rallied while many of its concentrated AI infrastructure longs declined. The fund therefore found itself losing across both sides of the portfolio at the same time, making its heavy gross leverage especially damaging.

Before that reversal, the strategy had generated extraordinary returns. Situational Awareness reportedly gained more than 1,500% from its 2024 launch and another 439% during the first half of 2026. Assets expanded rapidly as the portfolio appreciated and additional capital entered the fund, while Aschenbrenner used borrowing from prime brokers to magnify the portfolio’s exposures. Reporting surrounding the collapse indicated that gross leverage eventually reached approximately four times capital.

That same leverage became exceptionally difficult to manage when momentum reversed. Major AI infrastructure positions including Nebius, CoreWeave, Sandisk, Bloom Energy, and SK Hynix came under heavy pressure while software shorts moved higher. The overall market declined considerably less than many of the securities inside the fund, demonstrating how concentrated positioning and gross leverage can produce enormous portfolio losses even during a market environment that appears relatively manageable at the index level.

Several developments had already weakened sentiment surrounding parts of the AI infrastructure trade. Bloom Energy came under pressure following a short report questioning its scandium supply chain, while concerns surrounding Oracle’s Project Jupiter added uncertainty around one of the largest proposed AI data center developments. Questions surrounding hyperscaler capital spending and elevated AI valuations added further pressure across companies that had previously generated exceptional returns.

As losses accumulated, Situational Awareness faced mounting pressure from its prime brokers and began seeking additional capital. In a July 24 letter, Aschenbrenner acknowledged the losses while maintaining his conviction in the long term AI thesis and began approaching investors and Wall Street firms in an effort to raise capital and avoid liquidating positions at depressed prices.

The timing of what followed became another subject of debate during the meeting. On July 27, Citadel Securities published a macro report arguing that the Federal Reserve could unexpectedly raise rates at its upcoming meeting, a considerably more hawkish view than markets had been pricing. Expectations for a near term hike moved higher as investors considered that possibility, adding another source of uncertainty during an already difficult period for leveraged technology and AI positions. The Federal Reserve ultimately did not raise rates at the meeting.

The additional market weakness placed further pressure on Situational Awareness at a time when the fund was already highly leveraged and attempting to raise capital. The fund ultimately liquidated its public equity portfolio, which was acquired by Citadel through a large block transaction. Situational Awareness was left with its private investments, including an Anthropic stake valued at approximately $5 billion.

Given the sequence of events, some in the room questioned whether the Citadel rate call may have indirectly contributed to the final wave of selling that pushed Situational Awareness beyond the point where it could maintain its leveraged public positions. The timing was notable given that Citadel subsequently acquired the public portfolio. There is no evidence, however, that the rate report was published with the intention of pressuring Situational Awareness or influencing the eventual transaction, leaving the idea firmly in the realm of speculation.

The Citadel transaction also prevented what could have become a much more disorderly liquidation into the open market. With Situational Awareness under pressure to reduce leverage, transferring the public portfolio through a block transaction allowed those positions to change hands without forcing billions of dollars of additional selling through the market. The episode illustrated how quickly liquidity and financing can become more important than the underlying investment thesis once leverage reaches a level where outside counterparties begin determining portfolio decisions.

The magnitude of the drawdown illustrated how quickly leverage can reverse an extraordinary track record. Situational Awareness reported a 67% decline during July alone after entering the month following enormous gains. Even after that collapse, the fund remained approximately 80% higher for the year, demonstrating both the scale of the preceding run and how rapidly leverage allowed a large portion of those gains to disappear.

The episode led to an extended examination of portfolio construction and the importance of maintaining enough financial flexibility to survive periods when a strong secular thesis temporarily moves against an investor. The long term case surrounding artificial intelligence remained compelling, with demand for compute, semiconductors, networking, power generation, storage, and data center infrastructure continuing to support enormous investment across the industry.

Situational Awareness demonstrated how the route toward that long term outcome can still produce devastating losses for a portfolio carrying too much leverage. Many of the fund’s direct equity positions were concentrated in companies capable of moving twenty, thirty, or forty percent over relatively short periods. At approximately four times gross exposure, movements of that magnitude can rapidly create liquidity problems as margin requirements begin determining portfolio decisions.

The two sided nature of the losses made the episode especially instructive. AI infrastructure longs fell while software shorts rallied, reducing the protection normally expected from maintaining exposure on both sides of the market. The options overlay added another layer of complexity across semiconductors and other technology exposures. Once multiple portions of the portfolio began moving against the fund simultaneously, leverage dramatically reduced the amount of time available to wait for the underlying thesis to recover.

Long Term Capital Management served as one historical comparison. The hedge fund was founded by an unusually accomplished group that included prominent Wall Street traders and Nobel Prize winning economists, yet its highly leveraged strategies unraveled amid the 1997 to 1998 Asian financial crisis and the subsequent Russian financial crisis, ultimately requiring a Federal Reserve coordinated private sector rescue before the fund was liquidated. Peter Thiel’s experience with Clarium Capital offered a more recent example. After producing exceptional early returns, the hedge fund suffered major losses during and after the 2008 financial crisis, with assets eventually falling roughly 90% from their peak before the fund wound down its outside capital. Both examples illustrated how even highly sophisticated investors with strong records can see a hedge fund unravel when leverage, positioning, and market conditions move sharply against them.

The episode reinforced a principle that has surfaced throughout many of the group’s meetings: being correct over the long term has limited value if portfolio construction prevents an investor from surviving the path required to get there. Leverage can dramatically accelerate returns when a portfolio is working and remove financial flexibility just as quickly when several exposures reverse at once.

The Situational Awareness thesis may still prove substantially correct over the coming decade. The July losses did little by themselves to change the underlying case for continued growth in AI compute, power, storage, semiconductors, networking, and data center infrastructure. The fund instead provided a striking example of how exceptional insight and extraordinary prior returns can still be overwhelmed by concentrated exposure, leverage, liquidity requirements, and adverse moves across multiple parts of a portfolio, reinforcing the importance of execution, discipline, and risk management throughout an investment cycle.

4. Mag 7 Earnings, AI Capital Spending, and the Growing Divide Between Infrastructure and Monetization

The conversation then shifted toward one of the busiest earnings periods of the year, with nearly every major hyperscaler reporting results over the previous two weeks. Financial results were generally strong, though the market’s reaction demonstrated that investors remain focused on the economics of artificial intelligence and whether today’s enormous capital commitments will generate sufficient returns over the next several years.

The discussion revisited a point that has surfaced throughout multiple meetings. The largest technology companies now resemble startups operating at enormous scale, directing unprecedented amounts of capital toward data centers, semiconductors, networking equipment, custom silicon, and other AI infrastructure while pursuing revenue opportunities that remain at different stages of development. Tesla (TSLA), Alphabet (GOOGL), Apple (AAPL), Microsoft (MSFT), Amazon (AMZN), and Meta Platforms (META) all reported results during the two weeks leading into the meeting, providing a useful snapshot of how those investments are progressing.

Microsoft emerged as one of the strongest reports. Revenue reached $90 billion, up 18%, while Azure and other cloud services grew 43%, reinforcing confidence that the company’s infrastructure spending is already translating into meaningful financial returns. Microsoft also disclosed that Azure had surpassed $100 billion in annual revenue during fiscal 2026 and that Microsoft 365 Copilot had exceeded 30 million paid seats. The results provided some relief following months of concern surrounding the scale of Microsoft’s AI spending, even as management indicated that capital expenditures and finance leases would remain exceptionally high.

Amazon also delivered a strong quarter. AWS revenue grew 37%, its fastest growth rate in several years, while total quarterly revenue surpassed $200 billion for the first time. Management raised full year capital expenditure expectations to approximately $220 billion as demand for cloud computing and AI infrastructure remained strong. The report reinforced Amazon’s position alongside Microsoft as one of the companies already generating substantial revenue directly from the infrastructure being built.

Alphabet presented a more complicated picture. Google Cloud revenue grew 82%, providing strong evidence of underlying AI and cloud demand, while management raised full year capital expenditure guidance again to approximately $195 billion to $205 billion. The scale of that spending became a central issue for investors, particularly as quarterly free cash flow turned negative and management indicated that spending would rise further in 2027. Alphabet’s results illustrated the market’s willingness to reward AI growth while continuing to scrutinize the amount of capital required to sustain it.

Meta experienced similar scrutiny. Revenue remained strong, though capital expenditures rose sharply as the company continued expanding its AI infrastructure. Free cash flow declined substantially during the quarter, reinforcing questions regarding how quickly those investments can translate into higher revenue and earnings. Meta does not currently operate a cloud infrastructure business comparable to Azure or AWS, leaving much of its near term monetization tied to improvements across advertising, engagement, social platforms, and future consumer products. Reporting before the meeting also indicated that Meta was exploring offering AI computing capacity as a service, potentially creating another avenue for monetizing the infrastructure it is building.

For Apple, tariff refunds provided a temporary benefit to margins and earnings, while the market’s primary concern centered on below consensus September quarter guidance and component shortages. Those constraints also tied into the group’s semiconductor thesis, as memory and advanced manufacturing capacity continue being absorbed by AI data center demand. The results provided another example of how the AI infrastructure buildout can affect companies well beyond those directly constructing data centers.

Tesla reaffirmed plans for more than $25 billion of capital expenditures during the year while simultaneously funding autonomous vehicles, robotics, artificial intelligence, and manufacturing expansion. Quarterly capital expenditures rose sharply and free cash flow turned negative for the first time in more than two years, highlighting the financial demands of pursuing several capital intensive initiatives at once. Tesla also has less financial flexibility than several of the largest hyperscalers, placing greater importance on execution and the eventual monetization of its investments in autonomy, robotics, and AI.

The four largest hyperscalers are now guiding toward roughly $725 billion of combined capital expenditures in 2026, compared with approximately $410 billion in 2025, demonstrating how dramatically the scale of the AI buildout has expanded and raising the question of where that value will ultimately accrue. Recent market performance has produced an interesting divergence, with earlier phases of the AI cycle strongly rewarding infrastructure companies while several hyperscalers lagged. That relationship has partially reversed as large technology companies demonstrating clearer monetization paths have performed better while semiconductor and infrastructure stocks experienced meaningful corrections. The Philadelphia Semiconductor Index fell sharply from its late June peak, while companies such as Microsoft and Amazon received stronger reactions following earnings.

This divergence may ultimately prove temporary as the relationship between AI infrastructure spending and monetization becomes clearer. If artificial intelligence continues producing measurable productivity improvements and commercial returns, infrastructure providers and hyperscalers could eventually begin moving together as investors gain greater confidence that current capital expenditures are creating durable economic value. Continued AI adoption requires substantial infrastructure investment, while successful monetization provides the economic justification for sustaining that buildout.

Palantir Technologies (PLTR), which released results the evening of the meeting, provided another perspective on where AI economics may accumulate. The company reported exceptionally strong growth, with quarterly revenue reaching approximately $1.94 billion, up 93%, while U.S. commercial revenue grew 149%. Full year guidance was also raised as enterprise demand for its AI platforms continued accelerating.

Palantir’s positioning generated considerable interest because the company occupies a different layer of the AI ecosystem. Its strategy centers on enterprise software, proprietary data, secure deployment, and integrating artificial intelligence directly into operational workflows. Many organizations remain hesitant to provide sensitive proprietary information directly to external AI providers, creating demand for systems that allow them to deploy AI while maintaining greater control over their data.

That distinction may become especially important as enterprise AI adoption develops. Model capabilities will continue advancing, though businesses also need infrastructure that connects those models with proprietary information, existing software, security requirements, and real world decision making. Palantir’s growth provided an early indication that meaningful economic value may accrue to companies capable of handling that integration layer.

Artificial intelligence will almost certainly create enormous value over the coming decade, leaving the central question of where those economics ultimately accumulate. Infrastructure providers, hyperscalers, software platforms, companies controlling valuable proprietary data, and businesses with powerful distribution may each capture different portions of that value. The recent earnings cycle provided evidence that investors are beginning to distinguish more carefully between companies building AI infrastructure and those already demonstrating how that infrastructure can translate into revenue, productivity, and durable financial returns.

5. Peptides, Hims & Hers, and Healthcare’s Next Potential Growth Market

Healthcare became one of the evening’s most engaging topics following recent regulatory developments involving peptides, particularly BPC-157, and their potential implications for patients, consumer healthcare, and publicly traded companies.

The FDA’s Pharmacy Compounding Advisory Committee voted 8 to 6 with one abstention on July 23 to recommend adding BPC-157 to the 503A Bulks List, which would allow compounding pharmacies to prepare it with a prescription. Across the two day meeting, the committee supported six of the seven peptides under review, while rejecting one. The recommendations went further than FDA career scientists had advised, as agency staff had recommended against including all seven compounds.

BPC-157 has attracted significant interest because of its claimed ability to accelerate healing and recovery. The peptide is commonly promoted for helping repair tendons, ligaments, muscles, and other soft tissue, reducing inflammation, improving recovery from injuries, and potentially supporting gastrointestinal healing. These proposed benefits have helped drive substantial interest among athletes and consumers, although human clinical evidence remains limited and many of the claims are based on animal studies, anecdotal experience, and early research rather than large scale clinical trials.

The vote represented an important regulatory development, though its legal significance remains limited for now. The recommendation is nonbinding, the FDA is not required to follow it, and adding BPC-157 to the compoundable list would require a formal rulemaking process. Even if ultimately added, BPC-157 would not become an FDA approved drug. It would instead become eligible for legal compounding under the applicable framework, an important distinction when evaluating both the commercial opportunity and the available evidence regarding safety and efficacy.

The committee itself also became part of the story. The FDA had reconstituted it in late June with eight new members as part of the current HHS leadership’s more permissive approach toward certain compounded therapies, and reporting identified financial ties between some appointees and the peptide industry. That background adds another layer of uncertainty surrounding how durable the recommendations will prove as they move through the regulatory process.

Much of the discussion centered on Hims & Hers Health (HIMS), which remains one of the most obvious publicly traded companies positioned to benefit if peptide compounding becomes more widely available. Hims has spent years building a vertically integrated consumer healthcare platform combining digital distribution, manufacturing capabilities, physician networks, and direct to consumer marketing, giving it infrastructure that could potentially support rapid commercialization of new categories.

The company had also positioned itself for peptides well before the recent regulatory developments. Hims acquired a U.S. based peptide manufacturing facility in California in early 2025, following earlier investments in 503A and 503B capabilities. Management described the expansion as supporting areas including preventive health, metabolic optimization, cognitive performance, recovery science, and biological resilience. The acquisition came roughly a year and a half before the recent advisory committee vote, illustrating how early the company began preparing for the possibility of a larger peptide market.

That willingness to invest ahead of regulatory clarity was viewed favorably. If additional peptides become eligible for compounding, Hims could enter the market with manufacturing, distribution, prescribing infrastructure, and a large existing consumer base already in place.

The company’s experience with GLP-1 therapies also provided useful context for evaluating that strategy. After the FDA declared the semaglutide shortage resolved in February 2025, the opportunity for mass compounding narrowed considerably. Hims subsequently moved toward branded access through Novo Nordisk (NVO) and Eli Lilly (LLY), although the transition was far from seamless. Its original Novo relationship collapsed, a dispute over compounded oral semaglutide followed, and the companies eventually reconciled in March 2026. Hims now provides access to Ozempic, injectable and oral Wegovy, as well as Lilly’s Zepbound and Mounjaro through branded channels.

The transition also carried meaningful financial costs. Hims reported a $92 million loss in the first quarter of 2026, including approximately $33 million of restructuring charges tied largely to the compounded GLP-1 supply chain. Even with those costs, management’s ability to rebuild relationships with the major drug manufacturers and reposition the platform demonstrated the flexibility that could become valuable as peptide regulations evolve.

The potential market extends well beyond Hims itself. Peptides were viewed as a possible major growth category within consumer healthcare, with applications discussed including weight management, muscle recovery, tendon and ligament healing, arthritis, hair restoration, tissue repair, and general health optimization. Stories were shared of people personally known to those in the room experiencing rapid recovery from orthopedic injuries and meaningful reductions in chronic pain following peptide use, while recognizing that these individual experiences should not be treated as definitive scientific evidence.

Athletics received significant interest because recovery is one of the most obvious potential use cases. BPC-157 is currently prohibited by the World Anti Doping Agency, limiting its relevance for active athletes subject to WADA testing regardless of any future FDA compounding decision. The larger commercial opportunity could therefore develop among recreational athletes, retired professionals, and the much larger consumer fitness and recovery market.

Safety remains one of the central uncertainties. Human clinical evidence for BPC-157 and many other peptides is still limited, and FDA scientists have raised questions regarding efficacy, long term safety, and the chemical identity and consistency of certain peptide products. The possibility of obtaining compounding eligibility without undergoing the traditional drug approval process makes this distinction especially important. A favorable regulatory pathway for compounding would expand legal access without providing the same evidence base associated with full FDA drug approval.

The existing gray market adds another dimension to the opportunity. Many peptides are already available through research chemical suppliers despite lacking approval for human consumption, and testing of some gray market products has identified issues including bacterial endotoxin contamination, heavy metal residues, and substantial differences between labeled and actual doses. Regulated pharmacy compounding could offer consumers greater confidence in manufacturing quality, although lower gray market pricing may allow informal channels to remain significant even if legal access expands.

The pharmaceutical industry’s response will also be worth watching. Acquisitions of peptide developers, expansion of internal programs, or greater investment by established drug manufacturers could provide further evidence that the category is moving toward commercial scale. The success of GLP-1 therapies has already demonstrated how quickly a new class of metabolic drugs can reshape healthcare markets when strong clinical outcomes intersect with enormous consumer demand.

West Pharmaceutical Services (WST) was mentioned as a more conservative way to gain exposure to continued growth in peptides and injectable therapies. The company manufactures specialized elastomer components including stoppers, plungers, and seals, along with self injection delivery systems, giving it exposure to expanding injectable drug volumes without requiring investors to identify which individual therapies ultimately succeed.

Healthcare remains one of the world’s largest industries, and the combination of artificial intelligence, personalized medicine, digital distribution, and emerging peptide therapies could reshape meaningful portions of consumer healthcare over the coming years. The commercial opportunity may ultimately depend on which compounds gain legal pathways, how the safety evidence develops, whether consumers migrate from gray market suppliers toward regulated channels, and which companies can translate regulatory changes into scalable businesses.

6. Lightning Round: Sports, Healthcare, Value Investing, and Second Order Opportunities

LeBron James and the Philadelphia 76ers: LeBron James came up following his decision to sign a two year contract worth nearly $8 million with the Philadelphia 76ers, shortly after the team acquired Jaylen Brown from Boston. Historical examples were cited showing how LeBron’s arrival has previously added hundreds of millions of dollars to franchise valuations through increased ticket demand, sponsorships, merchandise sales, and media interest. Philadelphia was effectively adding two major stars during the same offseason, creating the potential for a meaningful increase in the commercial value surrounding the franchise.

Prediction markets provided an interesting counterexample to their recent track record. Philadelphia was priced at only about 9% on Kalshi in the hours before James committed, trailing Miami, Cleveland, and Golden State despite roughly $226 million in trading volume surrounding his destination. The miss demonstrated one of the limitations of prediction markets when an outcome depends on a decision controlled by a very small number of people and reliable information remains tightly held. In this case, the market largely aggregated public rumors and speculation, while contrarian traders willing to buy Philadelphia at roughly ten cents received the largest payoff.

Butterfly Network and medical imaging: Butterfly Network (BFLY) came up in connection with the June launch of Midjourney Medical and its planned full body tomographic imaging system, which created a new potential application for Butterfly’s ultrasound technology. The prototype Midjourney Scanner incorporates 40 Butterfly Ultrasound on Chip modules per system under a co-development agreement, helping send Butterfly shares approximately 17% higher following the announcement. Midjourney plans to deploy its first scanner at a flagship wellness location in San Francisco while developing additional medical hardware products. The partnership adds another potential use case for Butterfly’s portable ultrasound platform as medical imaging becomes cheaper, more accessible, and more closely integrated with artificial intelligence. The scanner remains a prototype without regulatory clearance, leaving significant execution risk while providing an interesting example of how AI driven healthcare platforms could create demand for enabling medical hardware.

Advanced Micro Devices and AI accelerators: Advanced Micro Devices (AMD) came up following its Advancing AI 2026 event and continued progress across AI accelerators and rack scale infrastructure. AMD introduced its Helios rack scale platform while disclosing substantial accelerator commitments from major AI customers, including OpenAI and Meta Platforms (META), with Microsoft (MSFT) Azure and Oracle (ORCL) among the early Helios customers. The company has also emphasized memory capacity and bandwidth as areas of differentiation, with the MI455X offering substantially greater memory capacity and bandwidth than NVIDIA’s (NVDA) B200. NVIDIA remains the dominant provider of AI accelerators, while continued growth in overall compute demand leaves considerable room for AMD to build a significant business by serving workloads where its architecture provides attractive performance and economics.

Blue Owl and private credit: Blue Owl Capital (OWL) and the expansion of private credit generated more caution. Payment in kind financing was one of the primary concerns, since borrowers can satisfy interest obligations by issuing additional debt instead of making cash payments, allowing lenders to recognize income without receiving corresponding cash. The issue has received greater scrutiny as withdrawal requests, litigation, and credit concerns have emerged across portions of Blue Owl’s affiliated businesses. One lawsuit filed during the summer alleged that approximately $43 million, or roughly 25%, of a Blue Owl fund’s first quarter 2026 net investment income consisted of PIK interest and dividends. Across public business development companies, PIK now represents roughly 8% of investment income on average. Private credit continues filling an important role outside traditional banking, though the growth of noncash interest and liability management transactions makes underlying credit quality and accounting practices important areas to watch during a prolonged period of economic stress.

Berkshire Hathaway and its evolving return profile: Berkshire Hathaway (BRK.B) also came up as the company enters a new era under Greg Abel, who became CEO at the beginning of 2026 while Warren Buffett remained chairman. Cash and short term investments reached approximately $397 billion at the end of the first quarter, while Berkshire continued expanding its investments in Japan’s five major trading houses. The company crossed the 10% ownership threshold in Sumitomo and Marubeni during May, bringing its ownership above 10% across all five companies and increasing the combined value of those positions to roughly $40 billion against a cost basis below $16 billion. The larger question centered on what Berkshire can realistically become from here. Its enormous size and diversification make it unlikely to replicate the returns of the Buffett era, since even highly successful investments must now be large enough to meaningfully affect the overall company. With its collection of operating businesses, public equity holdings, insurance operations, and substantial cash position, Berkshire itself now resembles something closer to a diversified index or internally managed conglomerate than the concentrated investment vehicle Buffett was able to operate earlier in his career. Future returns may therefore depend more on steady compounding across a large collection of businesses and investments than on the outsized individual successes that defined much of Berkshire’s earlier history.

BrightSpring Health Services and healthcare demand: BrightSpring Health Services (BTSG) came up following its second quarter results on July 31. Revenue reached approximately $3.87 billion, up 23% year over year, while adjusted EBITDA increased 44% to roughly $206 million and adjusted earnings exceeded expectations. Management also raised full year guidance, yet the shares fell approximately 17.5% following the report as valuation and positioning appeared to outweigh the strength of the underlying results. BrightSpring continues benefiting from demand for home healthcare and specialized patient services, supported by the long term demographic effects of an aging population. Reimbursement, government funding, and valuation remain important considerations, though the quarter provided another example of strong operating performance producing a negative short term market reaction when expectations are already elevated.

Movie theaters, IMAX, and entertainment economics: Recent box office performance also came up following Spider Man: Brand New Day’s exceptionally strong opening weekend and continued enthusiasm surrounding Christopher Nolan’s The Odyssey. Final numbers released on August 3 confirmed Spider Man: Brand New Day at approximately $360 million domestically, surpassing Avengers: Endgame for the largest domestic opening on record. Premium viewing formats provided the more interesting angle. Approximately 61% of The Odyssey’s $395.5 million domestic gross through its first 17 days came from IMAX screenings, demonstrating the willingness of moviegoers to pay for differentiated theatrical experiences. IMAX (IMAX) was viewed favorably because of the scarcity of its premium screens and licensing based business model, while AMC Entertainment (AMC) continued generating skepticism after years of shareholder dilution and substantial leverage despite improvements in operating performance. The economics surrounding premium formats remain compelling as major theatrical releases demonstrate that differentiated consumer experiences can still command substantial pricing power.

Closing Thoughts

The August 3 meeting reinforced the same core lessons that framed the evening from the outset. Execution and risk management ultimately matter more than having the correct long-term thesis. Physical constraints continue to govern the pace of technological progress even as software capabilities accelerate. And incentives, whether facing governments, management teams, regulators, or leveraged investors, often explain market behavior more clearly than headlines alone.

Artificial intelligence remained the connective tissue across nearly every discussion, yet the conversation repeatedly moved past frontier models to the industrial realities required to support them. China’s scale of electricity generation, the rebuilding of domestic nuclear fuel capacity, hyperscaler capital expenditure guidance approaching three-quarters of a trillion dollars, and the fragility of highly leveraged AI infrastructure portfolios all underscored the same point: compute demand is colliding with limits imposed by power, transmission, manufacturing, and capital allocation discipline.

Leopold Aschenbrenner’s fund provided the clearest case study of the evening. Identifying one of the decade’s most powerful secular trends did not protect against four-times gross leverage, two-sided losses, and the sudden loss of financing flexibility. The episode echoed historical precedents from Long-Term Capital Management to Clarium Capital and reinforced a principle that has surfaced throughout many of the group’s meetings: being correct over the long term has limited value if portfolio construction prevents an investor from surviving the path required to get there.

The same tension between theme and execution appeared elsewhere. Nuclear power may grow substantially, and the more durable near-term opportunities may reside in fuel production and infrastructure alongside speculative reactor developers. Peptide therapies and consumer healthcare platforms such as Hims & Hers illustrate both the commercial potential of regulatory shifts and the scientific, safety, and commercialization risks that remain unresolved. Micro-cap market structure, private credit accounting practices, and the evolving return profile of Berkshire Hathaway under new leadership all highlighted how incentives and capital structure shape outcomes as much as underlying business quality.

Taken together, the evening illustrated how thoroughly investing has become an interdisciplinary endeavor. Technology, engineering, geopolitics, healthcare regulation, market structure, and investor psychology now interact continuously. Durable frameworks require understanding those interactions in addition to individual companies and sectors.

As always, the objective of The Investing Group remains unchanged: to challenge assumptions, share research, examine emerging trends from multiple perspectives, and continue improving our understanding of an investment landscape that evolves remarkably quickly. The full August 3 meeting stream is also available on YouTube (

).

We look forward to reconvening on August 24, 2026 as these themes continue developing and new opportunities emerge across global markets.

Attendance and Acknowledgements

A sincere thank you to everyone who attended and contributed to another outstanding discussion.

Attending members (listed alphabetically by last name):

Afeef Akhtar

Mohammed Haq (recording, transcription, attendance, consulting)

Edward Calzada

John Hockberger (founder, media)

Seamus Cullinan

Brian Jung

Connor Darrow

Asel Kahveci (AI Systems)

John Donners

Sandeep Kaza

Daniel Valentino

Al Pakrosnis (AI systems, website, consulting)

Alex Valentino

Chris Russell

Eric Simpson (founder, moderation, summary, AI systems)

Roberto Salgado

Victor Sanchez (founder, media)

Mario Sanchez (videography, media)

Sneha Shrivastav

Suryansh Khatikar

Legal Disclaimer

Nothing discussed during this meeting or contained within this summary constitutes financial advice or a recommendation to buy or sell any security. All discussion is intended solely for educational and informational purposes. Members should conduct their own independent research and consult appropriate financial professionals before making any investment decisions.

Total nonfarm payroll employment unexpectedly contracted by 23,000 jobs in July, while job growth for the prior two months saw significant negative revisions, stripping a combined 103,000 jobs from previously reported estimates. The private sector continued to expand, as gains in construction and in healthcare and social assistance helped offset losses in other sectors. Meanwhile, government employment contracted, driven by education services. Nonfarm payroll employment undergoes multiple revisions as more comprehensive data becomes available, so future releases will be watched closely for the direction and magnitude of any changes.

Other indicators continue to point to a stable labor market. Despite the contraction in headline payrolls, the unemployment rate edged down to 4.1% as labor force participation declined, while claims data and the Job Openings and Labor Turnover Survey (JOLTS) for June continue to paint a picture of a “low-hire, low-fire” labor market. The broader U-6 unemployment rate, which includes discouraged and underemployed workers, was also unchanged at 7.9%. Even as demand for labor slows, a concurrent fall in the labor supply due primarily to changes in immigration policy and an aging workforce entering retirement is helping to keep the unemployment rate at historical lows. Surveys of purchasing managers for July continue to point to expansion in manufacturing and services, and to higher input cost pressures and slower delivery times.

Nevertheless, the weaker payroll data and ambiguity about Fed policy have dampened expectations for a rate hike in September, though markets continue to expect a hawkish change in rates later this year. Inflation remains elevated and continues to outpace slowing wage growth. Wars in the Middle East and Eastern Europe, tariffs, AI spending, and climate disruptions all present risks to the upside.

Week ahead for economic data: The upcoming week centers on July inflation data, with eyes on the Consumer Price Index and the Producer Price Index prints after both moderated in June. Also on the docket are July retail sales, the NFIB’s gauge of small business optimism, and preliminary consumer sentiment data for August.

This report is authored by Saied Toossi, an independent contributor and collaborator of The Investing Group (TIG). The views, analysis, and opinions expressed are solely those of the author and do not represent the official positions of TIG, its founders, or its members. Collaborator content is shared to offer a range of independent perspectives, which may overlap with, differ from, or directly contrast with the views of TIG and of other collaborators; TIG’s own research and commentary may reach different conclusions on the same subject matter. No collaborator speaks on behalf of TIG, and TIG does not endorse, verify, or adopt any collaborator’s views. TIG, its founders, members, and collaborators may hold positions in the securities, sectors, or markets discussed. Nothing herein is financial, investment, legal, or tax advice, or a recommendation or solicitation to buy or sell any security. All content is for educational and informational purposes only.

Real GDP expanded at an annualized rate of 1.5% in the second quarter, moderating from 2.1% in the prior period as a wider trade deficit, a drawdown in business inventories, and a decline in government spending dragged down top-line growth. Beneath the headline deceleration, however, real private domestic purchasing accelerated to an annualized 3.9%, propelled by robust consumer spending and business investment. Nondefense capital goods orders excluding aircraft for June also point to resilient economic activity, posting a second monthly increase.

Consumer sentiment also improved, with the University of Michigan Consumer Sentiment Index reaching its highest level since the beginning of the U.S.-Israel-Iran War. Consumers’ year-ahead inflation expectations eased while their long-run expectations remain anchored, consistent with recent inflation data. As expected, headline PCE inflation eased from 4.1% in May to 3.7% in June due to lower energy prices in that month. Core inflation, however, which excludes volatile food and energy prices, was little changed at 3.3%, down slightly from 3.4%. Headline inflation is expected to have picked up in July with the surge in energy prices tied to the resumption of hostilities in the Middle East. Meanwhile, the Employment Cost Index rose by 0.9% quarter-over-quarter, highlighting sticky overall compensation costs that are increasingly driven by health benefits and likely to keep core inflation elevated.

Against this backdrop, the Federal Open Market Committee left the benchmark federal funds rate unchanged. However, three members dissented in favor of an immediate 25 basis point rate hike due to persistent upside risks to inflation, highlighting the committee’s hawkish tilt. Chair Kevin Warsh reiterated his commitment to stabilizing prices in his post-meeting press conference but dodged questions about how he planned to tackle inflation and refrained from providing any forward guidance. Warsh’s remarks were heavily criticized for their lack of substance, and the bond market reacted in real time with a sell-off that sent long-term yields surging to levels last seen in the 2000s.

Week ahead for economic data: On the slate for this week are ISM manufacturing and services PMIs and labor market data. The main spotlight falls on Friday’s employment report on job growth, the unemployment rate, and earnings. A strong payrolls print could bolster expectations that the Federal Reserve will resume raising interest rates at its September meeting to address persistent inflation.

This report is authored by Saied Toossi, an independent contributor and collaborator of The Investing Group (TIG). The views, analysis, and opinions expressed are solely those of the author and do not represent the official positions of TIG, its founders, or its members. Collaborator content is shared to offer a range of independent perspectives, which may overlap with, differ from, or directly contrast with the views of TIG and of other collaborators; TIG’s own research and commentary may reach different conclusions on the same subject matter. No collaborator speaks on behalf of TIG, and TIG does not endorse, verify, or adopt any collaborator’s views. TIG, its founders, members, and collaborators may hold positions in the securities, sectors, or markets discussed. Nothing herein is financial, investment, legal, or tax advice, or a recommendation or solicitation to buy or sell any security. All content is for educational and informational purposes only.

Conversation moved across small cap market structure, geopolitics and energy, AI infrastructure, power generation, frontier model competition, China, education, robotics, market structure, and a lightning round covering individual ideas.

Several themes tied the evening together. The first was that power and physical infrastructure continue to define the pace of the AI buildout. The second was that execution, incentives, and management quality matter just as much as the underlying theme itself. The third was that competition at the frontier continues accelerating while companies with established distribution and cash-generating businesses may be best positioned to translate AI into long-term value. Finally, despite rapid technological progress, human judgment remains a durable competitive advantage in both investing and business.

Here is the recap.

1. Chinese Micro Cap Mania, Halt Mechanics, and Trading the Chaos

The discussion began with one of the day’s most remarkable examples of low-float speculation, a reminder of how quickly speculative momentum can overwhelm fundamentals in today’s market.

Discussion centered on ZYBT, a recently listed Chinese small cap and veterinary vaccine producer that surged from just above $1 at the open to close at $8.01, finishing at its high of the day after gaining more than 1,000% from the prior session’s close.

Much of the conversation examined the market mechanics that drove the move, including float dynamics, volatility halts, liquidity, and order execution. With no identifiable company-specific catalyst released that day, the rally appeared to be driven almost entirely by momentum and market structure. ZYBT had roughly 47 million shares outstanding but a public float of only about 4.4 million shares, meaning less than 10% of the company’s shares were freely tradable. More than 90 million shares changed hands during the session, turning over the entire public float roughly twenty times and illustrating how extraordinary price movements can develop when heavy trading volume collides with a limited supply of tradable shares.

The stock repeatedly triggered Nasdaq Limit Up Limit Down (LULD) volatility pauses throughout the day, often trading for only seconds before entering another five to ten minute halt. As each reopening established a new reference price, the volatility bands effectively stepped higher throughout the session, creating a staircase effect that allowed the stock to continue advancing while repeatedly pausing trading. The halt sequence carried into the final minutes of regular trading, leaving the stock halted at its $8.01 closing price. Because securities already halted during the last ten minutes of the session generally do not reopen before the closing auction, anyone short the stock had little opportunity to manage the position before the market closed. When trading resumed after hours, where LULD halts no longer apply and liquidity becomes substantially thinner, the stock briefly traded into the $11 range before reversing sharply and eventually fading into the $3 range. The sequence illustrated how repeated volatility halts can amplify pressure on short sellers by limiting opportunities to cover during regular trading hours before forcing them into a far less liquid after-hours market. The discussion also covered order execution, noting that once trading moved into the after-hours session, stop orders were generally no longer available, leaving limit orders as the primary tool for managing risk in a much thinner and more volatile market.

Discussion also turned to JLHL’s trading activity on July 9. The recently listed Chinese small cap rallied from just above $3 into the low teens during regular trading before extending further after hours. Although the percentage gain did not match ZYBT’s, the move demonstrated many of the same structural characteristics, including a very small public float, exceptionally high turnover relative to shares available for trading, and rapid price expansion that far exceeded what company fundamentals alone could reasonably explain. Unlike ZYBT’s halt-driven advance, JLHL climbed steadily throughout most of the trading session, illustrating how stocks with similar structural characteristics can produce very different trading patterns.

The conversation also noted that these episodes continue appearing within a fairly recognizable segment of the market. Many involve recently listed Chinese Nasdaq companies with very small public floats and significant insider ownership, creating conditions where relatively modest amounts of buying or short covering can produce outsized price movements. In these situations, sentiment, float dynamics, short positioning, liquidity, and halt mechanics often become the primary drivers of price action while underlying business fundamentals play only a limited role over the course of a single trading session. Capturing substantial gains requires not only identifying the opportunity but also successfully exiting before liquidity deteriorates or trading becomes restricted, illustrating both the exceptional upside and the considerable risks associated with this corner of the market.

2. Iran, Oil Markets, and the Iraq Pipeline

The group revisited the conflict involving the United States, Israel, and Iran following the resumption of hostilities after the collapse of the ceasefire earlier in July.

As of the meeting, reporting indicated the United States had completed roughly nine consecutive days of strikes against targets in Iran, with CENTCOM stating the operations were intended to impose continued costs on Iranian forces while degrading their ability to threaten commercial shipping and civilian vessels operating near the Strait of Hormuz. The conflict also continued expanding across the region. Two American service members were killed in action during the July 17 attack on Muwaffaq Salti Air Base in Jordan, while another remained missing as recovery efforts continued following the strike. A separate service member was killed at Erbil Air Base in northern Iraq during the controlled detonation of unexploded munitions recovered from a downed Iranian drone. Nearly one hundred U.S. service members had sustained some level of injury, mostly minor, since the ceasefire collapsed, although military officials indicated additional injuries could still be identified as reporting continued. Missile interceptions and air defense activity also extended across Jordan, Bahrain, Kuwait, Qatar, and Iraq.

Energy markets remained a central theme throughout the discussion. Brent crude had fallen to roughly $70 per barrel in early July, its lowest level since the day before the conflict began, before rallying back into the high $80s following renewed fighting and Iran’s efforts to disrupt shipping through the Strait of Hormuz. The rebound of more than 20 percent in less than three weeks illustrated that energy markets continued responding quickly to changes in geopolitical conditions. Major indexes remained relatively resilient over the period despite weakening market breadth, while energy shares generally outperformed during periods of heightened tension.

Discussion then turned toward the theory that Iran may simply be attempting to extend the conflict. One view circulating publicly holds that Iran is preserving military resources while attempting to raise economic and political pressure over time instead of seeking a decisive military outcome. Reserve calculations were also reviewed during the meeting, including a theoretical scenario of roughly sixteen days of U.S. consumption using the Strategic Petroleum Reserve alone and broader estimates suggesting global inventories could cover approximately ten to twenty weeks depending on assumptions. Those figures were not viewed as precise forecasts, but they highlighted both the importance of existing inventories and the limits of relying on strategic reserves if supply disruptions become prolonged. The Strategic Petroleum Reserve had declined from roughly 414 million barrels at the beginning of the conflict to approximately 316 million barrels by mid-July following coordinated strategic reserve releases by the United States and other countries. The conversation also acknowledged that U.S. intelligence continued assessing Iran as retaining meaningful missile-launch capability despite significant damage to portions of its defense industrial base.

The discussion also prompted a review of several longer-term developments that help provide context for the evolving energy landscape. On July 17, Iraq and Syria signed an agreement during a U.S.-Iraq business summit in Washington to begin reconstructing the long-idled Kirkuk-Baniyas pipeline, with a U.S.-led consortium that includes Chevron (CVX) participating through non-binding agreements while technical studies and commercial terms continue to be developed. The project has been described as targeting as much as 2 million barrels per day of capacity once fully developed, compared with the pipeline’s historical design capacity of roughly 700,000 barrels per day. The system has been out of service since 2003, making this a multi-year infrastructure project rather than a near-term supply solution. The agreement followed a White House meeting earlier that week between President Trump and Iraqi Prime Minister Ali al-Zaidi and formed part of a broader package of 48 agreements, memoranda of understanding, and partnership declarations intended to expand economic cooperation between the United States and Iraq.

These developments also provide useful context for current energy markets. Iraq’s oil production remains roughly half of its pre-conflict level, while vessel traffic through the Strait of Hormuz has fallen dramatically from historical norms during periods of heightened military activity. Together, those developments reinforce the importance of alternative export routes while helping explain renewed interest in projects such as the Kirkuk-Baniyas pipeline. They also illustrate why energy markets remain highly sensitive to any meaningful deterioration in global supply flows as strategic reserve buffers continue to decline.

3. Bloom Energy, Scandium, and the Anatomy of a Short Report

Bloom Energy (BE) generated one of the longest discussions of the evening following the publication of a high-profile short report earlier in the month.

Hunterbrook Media published its report on July 8 while disclosing that it held a short position. Shares fell as much as 12% intraday before closing down more modestly. Although the stock traded below $200 by the time of the meeting, much of that decline occurred after the initial short report as valuation multiples across portions of the AI infrastructure and power sector compressed. Before the selloff, Bloom had climbed from roughly $90 at the beginning of the year to just over $350 in late June, reflecting the type of valuation typically associated with near-perfect execution.

The core of the short thesis centered on scandium, a rare earth element used in Bloom’s solid oxide fuel cells. Hunterbrook constructed a supply and demand model estimating that increasing annual deployments from roughly 1 gigawatt to a long-term 5 gigawatt production scenario would require approximately 220 metric tons of fuel cell grade scandium oxide, compared with projected global supply of roughly 240 metric tons. Under that framework, Bloom alone would require more than 90% of projected global supply, leaving little margin for competing demand or supply disruptions. The report also projected total market demand approaching 310 metric tons annually, suggesting the market could face a supply deficit even before Bloom reached that level of production. Given that China controls the overwhelming majority of global scandium production and processing, the report argued that the key question was not whether Bloom’s supply chain had Chinese exposure, but to what extent. Hunterbrook further alleged that trade data, corporate filings, and other supply chain research pointed to China-linked sourcing, including claims involving Hunan Oriental Scandium, a major Chinese producer of fuel cell grade scandium oxide that the report identified as a key supplier.

The report extended beyond scandium. Additional concerns focused on the concentration of revenue generated through joint ventures in which Bloom holds ownership interests, the relationship between the company’s reported backlog and its remaining performance obligations, and permitting questions surrounding Oracle (ORCL)’s Project Jupiter data center in New Mexico. Together, the report argued that Bloom’s valuation depended on assumptions that warranted greater scrutiny.

On July 9, Bloom responded by calling the allegations false and misleading. The company reaffirmed its audited financial statements, stated that it holds sufficient scandium oxide to meet current demand and its existing backlog, denied any dependence on China, and said its supply chain provides visibility to support production of up to 25 gigawatts annually. Management also referenced access to several hundred metric tons of scandium oxide while explaining that it does not publicly disclose detailed sourcing information because of supply chain considerations. Shares recovered intraday following the response before closing modestly higher. Within twenty-four hours, Crossroads Capital released its own short thesis, describing the overlap as coincidental while arguing that it reinforced its conclusions. Crossroads also highlighted the challenge of sourcing sufficient non-Chinese scandium should Bloom eventually scale toward a 5 gigawatt production level.

Much of the discussion focused on the wording of Bloom’s rebuttal, as situations like this are often decided by the quality of a company’s response. While management addressed the allegations in qualitative terms and referenced access to significant scandium supplies, it did not publish detailed quantitative data directly addressing Hunterbrook’s 220 versus 240 metric ton framework or the underlying supply assumptions. When a company facing this type of criticism responds to a question centered on tonnage without providing corresponding tonnage data, that omission can become part of the story. It was also noted that management’s denials relied primarily on categorical statements rather than a detailed numerical rebuttal.

Research surrounding the short thesis also identified yttrium oxide as the primary alternative electrolyte. The tradeoff is significant. Yttrium-based cells generally operate closer to 800 to 1,000 degrees Celsius compared with roughly 700 to 800 degrees for scandium-based designs, increasing thermal stress on surrounding components, shortening expected lifespan, requiring more expensive alloys and thermal shielding, and reducing power density. While yttrium is substantially more abundant than scandium, it does not fully eliminate the geopolitical supply question because it is also subject to China’s April 2025 rare earth export licensing regime. Bloom’s use of scandium reflects the performance advantages associated with lower operating temperatures rather than the absence of alternative materials.

One valuation framework discussed during the meeting suggested fair value was roughly 60% below Bloom’s June peak, implying a value near $140 per share. Based on the information available through the meeting, Bloom’s operating results continued supporting the underlying business. Earlier in the year, first-quarter revenue more than doubled year over year, the company returned to profitability, earnings substantially exceeded expectations, full-year guidance was raised, and Bloom continued reporting a rapidly expanding backlog tied to AI infrastructure and power demand.

The discussion ultimately settled on the view that the underlying business remained strong while the valuation had become far more difficult to justify after the extraordinary rally. Data centers continue requiring reliable power, Bloom’s fuel cells address a genuine infrastructure bottleneck, and demand remains robust. Even so, strong businesses do not always represent attractive investments at every price, particularly when expectations already assume years of exceptional execution. With second-quarter earnings scheduled for July 28, management’s discussion of scandium supply, backlog growth, and long-term production plans was viewed as one of the most important near-term developments to monitor.

4. Oracle’s Project Jupiter, Power Constraints, and the Nuclear Question

The Bloom discussion led directly into a recent SemiAnalysis report examining Oracle’s Stargate related data center project in New Mexico, known as Project Jupiter. The report suggested the project faces a potential one to two year delay due to permitting challenges and natural gas pipeline constraints. Shortly before the meeting, New Mexico’s Land Commissioner denied the proposed pipeline rights-of-way for a second time, reinforcing concerns that the timeline could continue slipping. Oracle plans to deploy up to 2.45 gigawatts of Bloom Energy fuel cell capacity at the campus to support OpenAI infrastructure, replacing a previously planned natural gas generation facility. While the transition to fuel cells addressed many of the environmental concerns surrounding the original proposal, it did not eliminate the project’s dependence on pipeline natural gas, leaving fuel delivery as one of the primary bottlenecks. Oracle shares had continued declining as investors weighed the company’s leverage profile and substantial AI infrastructure spending. The conversation also explored whether much of that negative sentiment may have already become reflected in the share price, with the possibility that sentiment could begin stabilizing over the next two to three months if long term demand for AI compute continues developing as expected.

The conversation then expanded into power infrastructure. Even if a group of investors identified an attractive data center site and had sufficient capital available, the primary constraint would still be electricity. In many regions, utilities simply cannot deliver power at the scale these facilities require, forcing developers to secure on site generation. Coal is no longer viewed as a practical option, while conventional nuclear projects remain constrained by lengthy permitting and construction timelines. As a result, much of the industry has shifted toward fuel cells, natural gas turbines, solar, and other on site generation approaches.

Nuclear policy also became part of the discussion. Four executive orders signed in May 2025 identified nuclear power as a central component of the current administration’s energy strategy, calling for accelerated reactor deployment, reforms to the Nuclear Regulatory Commission’s permitting process, expanded domestic fuel supply, and a long term goal of increasing United States nuclear generating capacity from roughly 100 gigawatts to approximately 400 gigawatts by 2050. The administration has remained strongly supportive of nuclear development while taking a much less favorable stance toward wind and solar, influencing where future policy support may be concentrated. It was also noted that China remains well ahead of the United States in nuclear construction, a gap that could become more important as demand for AI infrastructure continues growing.

Fermi (FRMI) also came up as a cautionary example within this theme. The company entered the public markets with significant political support and a narrative centered on dedicated on site power generation for data centers, ultimately anchored by nuclear generation, yet its shares had continued moving lower. Previous research shared with the group had already raised concerns regarding the management team’s history with earlier ventures and its record of executing on stated plans. The discussion reinforced the same lesson that surfaced during earlier conversations involving Agility Robotics (CCXI). Identifying an important industry bottleneck is only part of the investment process. Determining which management teams can successfully execute against that opportunity is ultimately what separates successful investments from unsuccessful ones.

5. Meta, Muse Spark 1.1, and the Case for the Overlooked Mag 7

The frontier model discussion opened with Meta Platforms (META) following the July 9 release of Muse Spark 1.1.

The model is the second-generation system from Meta Superintelligence Labs and represents the company’s first major move into API monetization. It is a closed, metered multimodal reasoning model built for agentic tasks, featuring strong coding performance, a one million token context window, multi-agent orchestration, and aggressive API pricing. Early reporting and benchmark results suggest Muse Spark is competitive with other frontier models, placing Meta back into the conversation after a prolonged period of trailing the leading labs.

The focus then shifted to whether that leadership translates into commercial value. Nearly all of Meta’s revenue still comes from advertising, and few expected widespread consumer adoption of a Meta-branded chatbot as a standalone product. The stronger investment case centered on integration. Meta owns Instagram, Facebook, WhatsApp, Marketplace, Quest, and its Ray-Ban smart glasses ecosystem, allowing Muse Spark to be embedded across each platform, with the company also indicating it is expected to replace the existing Llama models powering AI experiences across many of those products. It was noted that Meta’s understanding of human behavior and social graphs remains unmatched, making significantly better ad targeting and AI-generated advertising content a more natural application than competing directly in the consumer assistant market. Meta’s AI advertising tools were also discussed, with the company reporting that roughly eight million advertisers are now using its AI creative products. A counterpoint was that inference costs rise with usage, meaning heavier engagement with AI increases compute expenses, the opposite of how traditional software businesses typically scale.

Cost per token was discussed as part of the answer. Muse Spark’s pricing was viewed as notably competitive among frontier models, reinforcing the expectation that inference would become substantially cheaper over the next several years. One estimate suggested costs could even reach roughly one-tenth of current levels by 2029. Lower unit costs would then encourage greater usage, reflecting the Jevons dynamic the group has discussed at prior meetings while continuing to support the broader AI infrastructure investment thesis regardless of which frontier model ultimately wins.

Valuation was also discussed. Meta trades as a cash-generating business at a relatively reasonable earnings multiple compared with most of the rest of the Magnificent Seven, continues producing enormous operating cash flow despite rapidly expanding capital expenditures, and maintains the financial flexibility to continue investing at scale. The company recently increased its expected 2026 capital expenditure outlook even further, reinforcing management’s willingness to prioritize long-term AI investment. Meta was viewed as offering AI exposure without the more binary risk profile associated with many of the infrastructure bottleneck companies, pairing substantial AI optionality with an already highly profitable core business. Its $14.3 billion investment for a 49% non-voting stake in Scale AI, along with aggressive compensation packages used to recruit leading researchers, has required tens of billions of dollars in investment. The transaction also brought Scale AI founder Alexandr Wang to Meta, where he became the company’s first Chief AI Officer and helped reorganize its AI efforts into Meta Superintelligence Labs. If integrating those capabilities across Meta’s existing platforms ultimately creates hundreds of billions of dollars in value, the economics still work even if execution proves uneven.

The focus also shifted to Mark Zuckerberg as an operator. The group has consistently emphasized the idea that CEO quality compounds throughout every aspect of a business, and Zuckerberg was cited as one of the clearest examples of a founder willing to do whatever is necessary to win, whether through internal development, copying successful products, or strategic acquisitions. The Instagram and WhatsApp acquisitions, Meta’s successful navigation through multiple platform transitions, and Zuckerberg’s decision to reject Yahoo’s acquisition offer in the company’s early years were all cited as evidence, including the account in Zero to One describing his conviction during those discussions.

Wearables also became part of the discussion. Snap’s (SNAP) recently announced smart glasses were revisited from a prior meeting, and those who had used both Apple’s (AAPL) and Meta’s devices compared their experiences. The general view was that Apple’s ecosystem and hardware foundation provide a credible long-term path in the category, particularly if devices become lighter and more affordable, since consumer adoption patterns for Apple hardware differ meaningfully from those for Meta hardware. The discussion also noted the wide range of pricing emerging across the category, from Meta’s consumer-focused Ray-Ban offerings to Snap’s higher-priced Specs and Apple’s premium Vision Pro. The conversation ultimately expanded into the view that several of the more overlooked members of the Magnificent Seven, particularly Meta, Apple, and Amazon (AMZN), may currently offer more attractive opportunities than some of the names receiving the greatest investor interest because their AI upside is layered onto highly profitable existing businesses with substantial cash flows.

6. Moonshot AI, Kimi K3, and China’s Position in the Race

One of the more significant developments over the previous two weeks was Chinese startup Moonshot AI’s release of Kimi K3 on July 16.

Independent evaluations placed the model closely behind Claude Fable 5 and GPT 5.6, while outperforming several rivals on specific tasks including front end coding and long context work. Moonshot was notably candid in acknowledging that overall performance still trailed the most capable proprietary systems. K3 was announced as an open weight model, with the weights scheduled for release later in July, while the hosted version became available immediately. Demand proved overwhelming. On July 19, after roughly forty eight hours of exceptionally strong usage, Moonshot paused new consumer subscriptions, citing GPU capacity constraints. Existing subscribers remained unaffected while the company announced plans to reopen new memberships in stages and separate its general Kimi Membership from a dedicated Kimi Code Membership to better allocate compute resources.

That operational detail carried the most investment relevance. A Chinese lab releasing a highly capable model and immediately running into a compute wall is another data point supporting the infrastructure thesis. Regardless of which country or company produces the best model, the binding constraint remains the same.

The market reaction also reinforced that discussion. News surrounding Kimi K3 contributed to renewed debate over whether China’s frontier models are closing the performance gap more quickly than previously expected. During the same period, several leading U.S. semiconductor and AI infrastructure companies sold off despite reporting or maintaining strong underlying fundamentals, illustrating how shifts in competitive expectations can create short term volatility even as long term infrastructure demand remains intact.

The ownership angle was reviewed as well. Alibaba (BABA) initially acquired a 36% stake in Moonshot AI. While the company’s current ownership percentage has not been publicly disclosed, market estimates generally place Alibaba’s remaining stake in the 15% to 20% range following subsequent funding rounds. Alibaba shares had gained roughly 17% during July amid a series of artificial intelligence catalysts, including continued progress with its Qwen models, reports surrounding Apple Intelligence in China, and enthusiasm surrounding its Moonshot investment. The group noted that Alibaba remained below $300 billion in market capitalization, a fraction of Meta’s roughly $1.6 trillion valuation, while operating one of the world’s largest e-commerce and cloud businesses, developing competitive frontier models, maintaining its Moonshot investment, and retaining favorable standing with Beijing. For those wanting exposure to China’s AI ecosystem, Alibaba was viewed as one of the more straightforward investments, with concerns surrounding transparency and financial reporting viewed as more relevant to smaller Chinese companies than to globally prominent technology leaders.

The conversation then shifted to talent flows, producing one of the more interesting discussions of the evening. Moonshot founder Yang Zhilin completed his undergraduate studies at Tsinghua University before earning his PhD at Carnegie Mellon, where he also worked with organizations including Google Brain and Meta. After returning to China, he contributed to Huawei’s PanGu model and the Beijing Academy of Artificial Intelligence before founding Moonshot AI. His career reflects a pattern that has become more visible in recent years. Historically, a substantial share of STEM PhD talent feeding frontier laboratories came from China and remained in the United States. That flow has begun shifting as visa policies, the difficulty of starting companies as non-U.S. citizens, and expanding entrepreneurial opportunities in China alter the incentives. Building a company in one’s home country can also be significantly easier, with a meaningful cost advantage created by earning revenue in U.S. dollars while operating elsewhere.

The conversation also recognized that talent flows move in both directions. Someone who spends two decades building expertise inside American institutions before returning home brings substantially more accumulated knowledge than someone who leaves immediately after graduation, making the long term effects far more nuanced than a simple brain drain narrative. The discussion also touched on a noticeable shift in sentiment among younger professionals in China, with confidence in domestic economic opportunities appearing grounded in visible technological progress over relatively short periods of time, influencing where many choose to build their careers.

It was also noted that Chinese citizens do not have access to leading U.S. frontier models, meaning domestic Chinese models serve a potential user base larger than the entire U.S. population. Combined with retained technical talent, that captive demand gives China multiple avenues to remain competitive as the AI race continues evolving. Public commentary surrounding Kimi K3 also reflected a wider range of views, with some investors suggesting that more capable open models could place additional pressure on proprietary model providers by compressing inference economics while benefiting the overall AI ecosystem. The discussion ultimately favored viewing artificial intelligence as an emerging technological rivalry between the United States and China, with substantial value creation remaining possible on both sides as continued competition accelerates innovation across the industry.

7. Education, Math Academy, and What AI Cannot Replace

Education became one of the evening’s most thought provoking topics after the group discussed a widely shared account of a third grader scoring a 5 on the AP BC Calculus exam after training through Math Academy.

Math Academy is built around a hand curated knowledge graph of study topics spanning elementary mathematics through advanced university level coursework. The adaptive online platform, launched in its current form in 2021 and priced around $49 per month, diagnoses what a student knows, selects personalized tasks, and schedules reviews using spaced repetition, effectively emulating many of the decisions an expert tutor would make. Justin Skycak, the company’s Director of Analytics, has described the philosophy as optimizing learning efficiency much like optimizing returns in financial markets. The underlying research traces back to Benjamin Bloom’s 1984 2 Sigma Problem, which found that students receiving one on one mastery tutoring performed roughly two standard deviations above those taught in traditional classrooms. The platform is not built around generative AI today, instead relying on statistical models and prerequisite mapping, though the framework appears well suited to incorporating frontier AI capabilities over time.

Competition is also beginning to emerge. Khan Academy’s Khanmigo has expanded across dozens of schools in Newark, New Jersey, reaching roughly 29,000 students, while Miami Dade has rolled out Gemini for Education to approximately 100,000 high school students. Prior deep dive work on Alpha School was also revisited, where an interesting observation was that much of the reported learning acceleration appeared tied to a carefully designed incentive system that rewarded productive habits, lesson completion, and strong academic performance alongside the AI itself.

The conversation then extended well beyond the investment implications, with one concern centered on the widening gap between public and private education. Chicago Public Schools was discussed as one example, with budget problems, repeated labor disputes, leadership turnover, and governance issues consuming institutional focus. Private schools are generally more agile, can invest more quickly, and often have parent communities that actively push them toward adopting new technology. If AI capability continues compounding, the gap between institutions able to adapt quickly and those that cannot could become substantially larger than in previous educational cycles. At the same time, AI tutoring is becoming inexpensive and widely accessible, potentially allowing motivated students at any income level to learn independently, at their own pace, and in whatever format suits them best.

Concerns also surfaced about the erosion of foundational skills. The discussion mentioned reports of a computer science course where most students failed the final examination after relying on AI throughout homework assignments and projects. A generational concern also emerged that children growing up with instant answers may never develop the habit of wrestling with difficult problems long enough to build deep understanding.

Another perspective focused on professions such as law and medicine. Reading legal cases is not primarily about accumulating knowledge but preparing to make difficult judgment calls, and the same principle applies to medicine, where training exists so practitioners can respond appropriately when complications arise. Arithmetic may eventually follow the path of skills that calculators made largely optional, and that may be perfectly acceptable. Judgment, however, cannot be outsourced. The concern is that AI could allow students to bypass the competency development that good judgment depends upon, since the two are far more closely connected than they first appear.

The conversation then turned toward the importance of socialization. Technology may dramatically expand intellectual capability while doing far less to develop interpersonal judgment, such as the ability to read a room and navigate complex social situations. As more interactions move online and become mediated through technology, interpersonal communication may become a scarcer and therefore more valuable skill. The discussion illustrated the point with the example of a hospital executive who was sent home from a new assignment after attempting to force organizational change without first understanding the local culture, a problem no amount of data could have solved. Research on handwriting and knowledge retention was also raised as another example of a human process that technology does not appear to fully replace.

The discussion also touched on product and investing opportunities emerging from these trends. While several major AI platforms now offer supervised access for younger users, none currently provide a purpose built educational experience designed specifically for children from the ground up. Building one well could meaningfully influence public opinion regarding AI in education. Duolingo (DUOL) was highlighted as one company well positioned within that landscape. Software valuations have come down considerably, the company continues generating strong cash flow, trades around a $6 billion market capitalization, and remains among the leaders in applying AI to educational content creation. The shares remain well below prior highs, although the investment thesis continues evolving as investors weigh the company’s AI advantages against the possibility that general purpose AI could also reshape the language learning market. Even so, it remains one of the clearest publicly traded ways to gain exposure to the long term transformation taking place in education.

8. IREN, the Compute Deal, and the RSU Letter

IREN Limited (IREN) returned to the agenda following two developments.

The first was the company’s announcement that morning of approximately $2.8 billion in new multi-year AI cloud services agreements. Reported counterparties included Perplexity, Figure AI, Together AI, Fluidstack, Fireworks AI, Fal AI, Hume AI, and one additional unnamed leading AI developer, while Microsoft (MSFT) and NVIDIA (NVDA) remained significant existing customers. Although not nearly the size of the company’s earlier Microsoft agreement, the new contracts provided further evidence that demand for IREN’s AI cloud capacity remains strong. The agreements increased the company’s year-end 2026 AI Cloud annualized run rate revenue target from $3.7 billion to more than $4 billion, with customers prepaying roughly 45% of the associated GPU capital expenditures under contracts averaging about four years in duration. Management also noted that demand from hyperscalers, enterprises, and AI developers continues to exceed both available and planned capacity. Shares responded by rebounding toward the $40 range after trading in the low to mid-$30s.

The second was independent board chair David Bartholomew’s July 8 letter to shareholders addressing the co-CEO restricted stock unit awards discussed at the prior meeting. The letter defended the grants on retention grounds, arguing that the awards reflected the founders’ role in creating substantial shareholder value and were necessary to retain them for the company’s next stage of growth. It also noted that the awards vest over four years, include additional post-vesting holding requirements, prohibit further equity grants before fiscal 2031, and carry no guaranteed value because their ultimate worth depends entirely on IREN’s future share price. Public reaction to the letter was mixed, though skepticism remained widespread. Within the group, the prevailing view was that the letter reinforced the original governance concerns rather than resolving them. While few questioned the founders’ importance to the business, the size and timing of the awards were viewed as unusual for a company still in the early stages of executing its long-term AI infrastructure strategy. The grants were seen as compensation more commonly associated with companies that have already established a longer record of execution, making the board’s emphasis on retention an insufficient response to those concerns. Even so, the underlying investment thesis remained tied primarily to the company’s execution, with strong demand for AI compute capable of outweighing governance concerns if management continues delivering on its growth plans. The continued focus on executive compensation likely contributed to the weakness in the shares leading into the compute announcement.

The framing from the prior meeting remained intact. Governance concerns do not automatically invalidate the underlying investment thesis given IREN’s power portfolio, expanding data center footprint, and exposure to AI infrastructure demand. They do warrant continued evaluation of management’s capital allocation decisions and the board’s approach to governance as the company continues executing its long-term strategy.

9. Lightning Round

Truth Social and the paid feed: Trump Media (DJT) has discussed offering a subscription product providing faster access to the President’s posts, with reporting suggesting institutional API pricing up to $100,000 per month for high speed access and roughly $60,000 per month under a three year commitment. The economics appeared difficult to justify from the outset. Trump Media generates roughly $3.7 million in trailing twelve month revenue against a market capitalization of roughly $2.3 billion to $2.7 billion, and even a generous total addressable market in the range of $30 million to $200 million would still imply a demanding valuation for a business with no demonstrated ability to monetize its platform. Firms such as Citadel Securities, Jane Street, and other established quantitative trading firms already devote enormous resources to capturing and arbitraging even the smallest latency advantages, making it difficult to see how a durable informational edge could exist in practice. The general view was that this is a branding exercise rather than a business, and that offering a three year contract tied to a sitting president whose term ends before the contract expires raises obvious questions about the product’s long term value proposition.

Railroads and equipment rental: Canadian Pacific (CP) and Norfolk Southern (NSC) were discussed as attractive dividend and margin driven positions with a secondary AI angle. Data center construction requires moving enormous quantities of heavy equipment, and rail is frequently the only practical way to get it to site. This also tied back to the proposed Union Pacific (UNP) acquisition of Norfolk Southern discussed at the July 6 meeting, though the investment thesis centered primarily on long term cash flow rather than merger speculation. The same second order logic extends to equipment rental businesses, including United Rentals (URI) and the smaller rental name (EQPT) previously raised in the group. These businesses are unlikely to deliver outsized returns, but they offer solid cash flow supported by a durable multi year trend.

Memory and the Korean market: SK Hynix (SKHY) completed its U.S. ADR offering, raising roughly $26.5 billion at approximately a $1 trillion valuation, and the stock has since given back its initial pop. The more interesting discussion concerned the Korean market itself, which has been selling off hard. Retail participation runs roughly 60% to 70% of Korean market activity versus 20% to 30% in the U.S., while more than one million retail accounts have reportedly received margin calls during the recent selloff. Korean retail also concentrates heavily in U.S. stocks, including IREN and other high beta favorites. At the same time, SK Hynix and Samsung represent a large share of the Korean market, making the country’s performance closely tied to the memory sector. Selling pressure in Korea also weighed on U.S. memory companies such as SanDisk (SNDK) and Micron (MU). Memory fundamentals were still viewed as solid, with expectations for a sharp recovery once forced selling pressure subsides, while recognizing that volatility may remain elevated. Korea was also viewed as a useful case study for how markets behave when retail participation, leverage, and social trading play an outsized role in price discovery.

eVTOL and aerial robotics: Archer Aviation (ACHR) and Joby Aviation (JOBY) are both in the final stages of FAA testing. Archer rose nearly 20% on the day of the meeting following an Anduril partnership unveiling an autonomous VTOL platform, effectively repositioning the company as a defense play. Archer also holds an Olympic sponsorship tied to LA28 with plans to move attendees from hotels to venues, an Uber partnership, and government contracts. The company plans to unveil safety critical autonomy and air traffic control capabilities later in 2026 tied to its partnership with Palantir (PLTR). The sector wide story is that flying taxi companies are quietly repositioning as aerial robotics companies, a shift that could ultimately support higher valuations if the market begins viewing them through a defense and autonomy lens. The group treated this with appropriate skepticism. These remain essentially pre revenue companies with heavy regulatory dependency, contracts recognized far into the future, and valuations that require ignoring current fundamentals entirely. There is such a thing as being too early, and eVTOL likely still sits in that zone, though the defense angle could accelerate commercialization given the incentives created by drone warfare.

Rare earths: USA Rare Earth (USAR) was revisited as the leading domestic company pursuing a vertically integrated mine to magnet strategy. The company remains pre revenue, and China controls roughly 70% to 90% of the processing chain, which is precisely the strategic argument for building domestic capacity. Cameco (CCJ) was discussed as an adjacent uranium exposure alongside broader discussion of mining companies that could benefit as Western supply chains diversify away from China. For those comfortable with the risk profile, USAR was viewed as a speculative position that could respond sharply to geopolitical developments while carrying genuine risk of going to zero.

AMC and the Nolan effect: AMC Entertainment (AMC) surged roughly 27% following reports of the highest quarterly revenue and adjusted EBITDA in the company’s 106 year history. Investor enthusiasm was further supported by Christopher Nolan’s The Odyssey, which pushed audiences toward IMAX (IMAX) screens, with only 41 true 70mm venues operating globally, including one at a local Cinemark (CNK) location. Those who had seen the film were positive on it, and Polymarket around the meeting date priced The Odyssey near 48% to win Best Picture, which several found notable given that awards contenders typically release later in the year. The valuation discussion was less encouraging. AMC carries debt and lease obligations approaching $8 billion against a market capitalization well below that level, while continuing to operate with negative book value. The company has diluted shareholders aggressively for years. Exhibitors generally retain roughly 40% to 50% of ticket revenue over the full theatrical run, with concessions driving a disproportionate share of profitability. The view remained that AMC works better as a trading vehicle around seasonal catalysts than as a long term investment.

Peptides and Hims and Hers: At the time of the meeting on July 20, the FDA’s Pharmacy Compounding Advisory Committee was scheduled to meet on July 23 and 24 to consider several peptides for inclusion on the 503A bulks list, with the committee providing advisory recommendations rather than final authority. The current administration’s health leadership had expressed support for expanding peptide access while reshaping the committee, making the meeting a closely watched catalyst. Hims and Hers (HIMS) was viewed as one of the best positioned public companies to benefit if additional peptide compounding ultimately receives regulatory support. GLP-1 compounding was viewed as less likely to remain available following the resolution of nationwide shortage conditions, though HIMS had already begun pivoting through branded partnerships and other initiatives. Revenue projections discussed during the meeting, based on a widely circulated public estimate from a social media commentator, suggested peptide related revenue could eventually reach $10 billion to $19 billion annually by 2030. Those projections were viewed with considerable skepticism given both the source and the long time horizon. Scenario analysis during the meeting suggested a partial approval scenario appeared more likely than broad approval across every peptide under review, leaving the overall setup constructive while recognizing that the regulatory process would likely extend well beyond the committee meeting.

Closing Thoughts

The July 20 meeting reinforced several themes that have surfaced repeatedly throughout recent sessions while adding new perspective as the investment landscape continues evolving.

The first is that artificial intelligence remains far larger than the models themselves. Whether the discussion centered on Bloom Energy’s fuel cells, Oracle’s Project Jupiter, power generation, IREN’s expanding compute business, or Moonshot AI’s rapid capacity constraints following the release of Kimi K3, the same conclusion repeatedly emerged. Compute demand continues growing far faster than the infrastructure required to support it, leaving power, data centers, networking, and physical supply chains among the most important determinants of how quickly the industry can expand.

The second is that execution continues separating successful investments from attractive narratives. The meeting repeatedly highlighted the importance of management quality, capital allocation, incentives, and governance. Strong industries alone do not guarantee strong investments, while exceptional operators can often create value even in highly competitive markets. That principle surfaced across discussions ranging from Meta and IREN to Bloom Energy, Fermi, and several companies examined during the lightning round.

Another recurring theme was that competition within artificial intelligence appears to be expanding rather than narrowing. Meta’s renewed push at the frontier, Moonshot AI’s rapid progress in China, Alibaba’s positioning within that ecosystem, and the continued evolution of open models all suggest that leadership is becoming more competitive. At the same time, companies with established distribution, existing customer relationships, and durable cash-generating businesses may ultimately be better positioned to translate AI capabilities into long-term shareholder value than those relying solely on model leadership.

The evening also reinforced that technological progress does not eliminate the importance of human judgment. The education discussion highlighted both the extraordinary opportunities created by AI-assisted learning and the risks of outsourcing critical thinking, while conversations surrounding geopolitics, market structure, governance, and investing all returned to the same underlying idea: better information does not automatically produce better decisions. Experience, judgment, incentives, and thoughtful analysis remain difficult to replace.

Finally, the meeting served as another reminder that many of today’s most compelling investment opportunities no longer fit neatly within a single sector. Artificial intelligence, energy infrastructure, semiconductors, education, healthcare, geopolitics, manufacturing, and capital markets continue influencing one another in ways that would have seemed far less connected only a few years ago. Understanding those relationships, rather than viewing each development in isolation, remains one of the group’s primary objectives.

For those who were unable to attend or would like to revisit the discussion, a recording of the July 20 meeting is available on YouTube (

).

We look forward to reconvening on Monday, August 3, 2026, to continue building on many of the themes explored throughout the evening.

Attendance and Acknowledgements

A sincere thank you to everyone who attended and contributed to another outstanding discussion.

Attending members, listed alphabetically by last name:

Afeef Akhtar

Michelle Maleski

Diana Ascencio (media)

Omar Pathan

Quinn Basta (recording, transcription, photography)

Miguel Salgado

Connor Darrow

Mario Sanchez (videography, media)

John Donners

Victor Sanchez (founder, media)

Mohammed Haq (recording, transcription, attendance)

Moses Shreim

Brian Jung

Eric Simpson (founder, moderation, summary, AI systems)

Sandeep Kaza

Jeffrey Tantoc

Suryansh Khatikar

Jordan Wilson

James Lewan

Abhishikth Yarlagadda

Legal Disclaimer

Nothing discussed during this meeting or contained within this summary constitutes financial advice or a recommendation to buy or sell any security. All discussion is intended solely for educational and informational purposes. Members should conduct their own research and consult appropriate financial professionals before making investment decisions.

Recent weeks have seen renewed U.S. bombardment of Iran, including the targeting of civilian energy and water infrastructure, and Iran’s “tit-for-tat” strikes on U.S. bases and infrastructure in neighboring countries. Passage through the Strait of Hormuz remains impeded as both sides have reinstituted their blockades. On the other side of the region, the Houthis have declared the Bab al-Mandab Strait closed to Saudi shipping in retaliation for Saudi airstrikes on Yemen. This jeopardizes the flow of oil through Saudi Arabia’s port city of Yanbu, which has been used to bypass the Strait of Hormuz. Tankers can re-route through the Suez Canal, but doing so adds millions in costs and can significantly lengthen delivery times.

S&P Global’s survey of businesses indicates growing supply chain pressures as a result of intensifying hostilities. Supplier delivery times worsened to their greatest extent in nearly four years, and input cost inflation spiked to a 14-month high, pushing selling price inflation to a four-year peak. New broad-based tariffs announced by the Trump administration of up to 50% (e.g., a wide range of imports from Canada) will compound the upward pressure on input costs from the war and from earlier tariffs, which many businesses are still contending with. About 90% of the administration’s earlier tariffs were borne by domestic businesses and consumers, with a recent Federal Reserve Bank of New York survey showing that nearly half of tariff-paying firms that had not already finished passing those costs onto consumers still intend to do so. The new tariff regime will push this share higher, with consumers ultimately paying even higher prices for goods and services.

The combination of a stable labor market, resilient economic activity, and inflationary pressures from war, tariffs, and AI spending validates the Federal Reserve’s hawkish shift. Climate disruptions present another source of inflationary pressure on the horizon, with a stronger El Niño effect expected to weigh on crop yields and keep food inflation elevated.

Week ahead for economic data: This week will be headlined by earnings from mega-cap technology giants and key industrial and consumer leaders, and by the July 28-29 FOMC meeting. Rates are widely expected to be held steady, placing the focus on Chair Kevin Warsh’s press conference on Wednesday for hints of future policy guidance, with the committee broadly expected to raise interest rates later this year. Also on the calendar are key updates on Q2 GDP growth, durable goods orders, labor costs, consumer sentiment, and the June PCE price index (the Fed’s preferred inflation measure), alongside personal income and spending data.

This report is authored by Saied Toossi, an independent contributor and collaborator of The Investing Group (TIG). The views, analysis, and opinions expressed are solely those of the author and do not represent the official positions of TIG, its founders, or its members. Collaborator content is shared to offer a range of independent perspectives, which may overlap with, differ from, or directly contrast with the views of TIG and of other collaborators; TIG’s own research and commentary may reach different conclusions on the same subject matter. No collaborator speaks on behalf of TIG, and TIG does not endorse, verify, or adopt any collaborator’s views. TIG, its founders, members, and collaborators may hold positions in the securities, sectors, or markets discussed. Nothing herein is financial, investment, legal, or tax advice, or a recommendation or solicitation to buy or sell any security. All content is for educational and informational purposes only.

Energy prices are rising once again with the re-closure of the strait, erasing the temporary relief that helped ease inflation in June. As the conflict escalates, risks are heavily tilted toward the closure of the Bab al-Mandab Strait and the potential destruction of critical regional infrastructure. A shutdown of both chokepoints, compounded by such damage, threatens to severely disrupt global supply chains and raise costs, triggering another wave of inflation. Other data also point to inflation remaining elevated. Core retail sales continue to point to resilient demand, while import prices surged by 7.1% relative to a year ago, the highest since 2022, as the cost of nonfuel imports rose.

Faced with these risks, a growing number of Federal Reserve officials have been expressing a highly cautious, hawkish tone. Chair Kevin Warsh maintained his commitment to restoring price stability in his congressional testimony. Other officials amplified this stance. Dallas Fed President Logan overtly advocated for higher interest rates, and Cleveland Fed President Hammack relayed concerns from business contacts about broad-based inflation while stressing the need for the Fed to act. Governor Waller likewise warned against treating a single month of soft data as a permanent trend. In contrast, New York Fed President Williams suggested current policy remains well-positioned to guide inflation back to goal in 2028. Markets appear less optimistic, however, after over five years of above-target inflation.

Week ahead for economic data: The upcoming week presents a relatively light data calendar. The focus will be on how the war in the Middle East develops and its impact on commodity and transportation costs. Additional corporate earnings reports and S&P Global PMI survey results for July will also be watched closely to assess underlying economic momentum. Federal Reserve officials will enter a quiet phase ahead of the July 28-29 FOMC meeting. Current expectations are for the committee to hold rates steady at the upcoming meeting before hiking later in the year.

This report is authored by Saied Toossi, an independent contributor and collaborator of The Investing Group. The views, analysis, and opinions expressed are solely those of the author and do not necessarily reflect, and may at times differ from or contrast with, the positions of The Investing Group, its founders, or its members. Collaborator content is shared to offer a range of independent perspectives. Nothing herein is financial advice or a recommendation to buy or sell any security. All content is for educational and informational purposes only.

The meeting welcomed several new attendees while continuing the collaborative discussion format that has become a hallmark of the group. Topics ranged from artificial intelligence, semiconductors, robotics, healthcare, and transportation to geopolitics, market structure, consumer technology, and individual investment ideas. Although the subjects varied widely, they consistently reinforced many of the long-term themes that have emerged throughout recent meetings.

One recurring observation was that execution continues separating long-term winners from the rest of the field. Whether discussing AI infrastructure, enterprise software, healthcare innovation, robotics, or data centers, the conversation repeatedly returned to the importance of capital allocation, management incentives, vertical integration, and disciplined execution alongside technological leadership. Another theme centered on looking beyond the most visible companies to identify the suppliers, infrastructure providers, and enabling technologies supporting broader secular trends. The meeting also reinforced how artificial intelligence continues expanding beyond software into industries such as healthcare, manufacturing, logistics, transportation, and national security, creating investment opportunities across an increasingly interconnected economy.

As always, the objective was not to predict short-term market movements but to better understand the long-term trends, competitive dynamics, and structural changes shaping the investment landscape.

Here is the recap.

1. Small-Cap Speculation, Market Structure, and the SDOT Trading Frenzy

The meeting began by examining one of the most remarkable speculative trading stories of the past several weeks, Sadot Group (SDOT), which provided another example of how today’s market structure can produce extraordinary price swings in low-capitalization companies.

The stock initially surged from roughly $2 per share into the $40 range during early June before quickly falling back into the single digits. Much of that initial move followed a 1-for-20 reverse split that dramatically reduced the company’s public float, illustrating how limited share availability can amplify buying pressure once momentum begins to build. The volatility continued into late June and early July as shares staged another remarkable rally, briefly climbing above $100 intraday on July 2 before giving back a substantial portion of those gains over the following trading sessions. Rather than focusing on the company’s underlying agricultural operations, the conversation centered on what the trading action revealed about today’s speculative trading environment and the growing importance of market mechanics.

The financing dynamics common throughout much of the micro-cap universe also became part of the discussion. Many smaller companies continue relying on equity issuance as a primary source of capital, creating incentives that do not always align with long-term shareholder value. Reverse splits, name changes, secondary offerings, acquisitions financed largely with stock, and repeated capital raises remain common across portions of the market, allowing companies to repeatedly access public capital even when the underlying business changes very little. While these characteristics often introduce meaningful long-term risks for investors, they also help create the sharp price movements that attract momentum-oriented traders.

The recent elimination of the Pattern Day Trader rule was also revisited as another development that could influence speculative activity. Although it remains far too early to evaluate its full impact, lowering barriers to active trading may encourage additional participation in the areas of the market already known for extreme volatility. With implementation expected to occur gradually across brokerages, it will likely take time before the full impact of the new framework can be properly assessed.

Rather than viewing SDOT as an isolated event, the group considered it another example of structural changes taking place across today’s markets. Liquidity, float dynamics, retail participation, and momentum can often outweigh traditional valuation metrics for extended periods, particularly among companies with exceptionally small public floats. Understanding those market mechanics has therefore become just as important as evaluating the underlying business when analyzing highly speculative securities.

The discussion reinforced a recurring theme from previous meetings. In today’s market, stock prices do not always reflect business quality. Examining incentives, financing structures, dilution risk, float characteristics, and investor psychology often provides a clearer explanation for why speculative companies experience such dramatic trading behavior.

2. Iran, Oil Markets, and Why Markets Continue Looking Beyond the Headlines

The group revisited the evolving situation involving Iran amid the ongoing state funeral for Supreme Leader Ali Khamenei, continued uncertainty surrounding the country’s new leadership, and renewed diplomatic efforts aimed at preserving the fragile ceasefire and keeping the Strait of Hormuz open.

Discussion began with the latest developments surrounding negotiations between U.S. and Iranian officials following the June memorandum of understanding intended to end the conflict and restore commercial shipping through the region. While geopolitical headlines continued arriving almost daily, it was observed that financial markets had become far less responsive than they were during the initial stages of the conflict several months earlier.

Focus then shifted toward global energy markets. During the height of the conflict, front-month crude oil futures surged well above $100 per barrel for several months, with the benchmark peaking near $120 in April as investors feared prolonged disruptions to one of the world’s most important shipping routes. By the time of the meeting, however, prices had fallen back below $70 as expectations shifted toward normalization. Improving shipping activity through the Strait of Hormuz, strategic petroleum reserve releases, stronger production from North and South American producers, and weaker global demand all contributed to the market’s changing outlook, although it was also noted that shipping conditions remained fragile and inventories would likely take time to fully recover.

The conversation also briefly touched on China’s role within the evolving energy picture. More broadly, slowing Chinese oil demand, the country’s rapid buildout of renewable energy, expanding electric vehicle adoption, and other structural shifts in energy consumption continue shaping long-term expectations for global oil demand. Together with ongoing geopolitical developments, these trends illustrate the range of factors influencing energy markets over both the short and long term.

The group also revisited a point discussed during previous meetings: markets discount future expectations rather than current events. As of the meeting, although negotiations surrounding sanctions, shipping access, regional security, and potential shipping fees remained unresolved, investors appeared to believe that the most economically disruptive phase of the conflict had already passed. Unless developments materially altered long-term expectations, geopolitical headlines gradually lost much of their ability to influence financial markets.

The conversation also examined how changing market composition may influence the relationship between geopolitical events and equity performance. It was noted that today’s equity market is considerably more concentrated in technology companies than in previous decades. Many of the largest technology firms maintain substantial cash flows and stronger balance sheets than the industrial and manufacturing companies that once dominated major indices, potentially making the broader market somewhat less sensitive to temporary increases in inflation or energy prices.

Questions were also raised regarding broader geopolitical incentives. With U.S. midterm elections approaching, it was suggested that multiple parties may have strong incentives to prevent the conflict from expanding significantly, reinforcing expectations that negotiations would ultimately produce greater stability.

Overall, the discussion reflected the view that geopolitical developments remain important, but markets continue distinguishing between temporary disruptions and structural changes. While uncertainty surrounding Iran had not disappeared, investors appeared to have shifted much of their focus back toward longer-term themes such as artificial intelligence, infrastructure investment, and technological innovation.

3. Anthropic, AI Security, Palantir, and the Strategic Importance of Data

Artificial intelligence once again became one of the evening’s longest discussions following the restoration of Anthropic’s frontier AI models after their temporary suspension by the U.S. government.

The conversation began with attendees comparing their experiences using Claude Fable 5 following its return. Those who had used the model extensively discussed differences relative to previous Claude versions, while others focused more broadly on what the temporary restrictions revealed about the strategic role frontier AI systems now occupy.

The discussion revisited the government’s June decision to suspend access to Claude Fable 5 shortly after its launch, with restrictions ultimately lasting until early July. It was noted that while Fable 5 returned to general availability following the lifting of the export controls, access to Mythos 5 remained more limited through approved cybersecurity programs. The conversation framed the episode as another example of frontier AI models evolving into strategic national assets instead of conventional software products. Leopold Aschenbrenner’s Situational Awareness framework was referenced as a useful lens for understanding how advanced AI capabilities may become more closely intertwined with national security, export controls, and government oversight.

Additional context surrounding the suspension was also discussed. The government’s actions followed reports that researchers had demonstrated methods of bypassing portions of the model’s safety safeguards to assist with identifying software vulnerabilities and generating exploitation code. Anthropic publicly disagreed with the decision, arguing that similar capabilities exist across multiple frontier AI systems and that applying the same standard broadly could significantly slow future frontier model releases. The episode reinforced the view that the government’s response reflected not only the capabilities of a single model, but also the growing strategic importance of frontier AI more generally.

This naturally led into a discussion surrounding data ownership, cybersecurity, and enterprise AI. Considerable focus centered on Palantir Technologies (PLTR), whose software architecture was contrasted with the approaches taken by many frontier AI developers. Discussion emphasized Palantir’s approach of allowing organizations to maintain ownership and control of their proprietary data while integrating AI capabilities, an architecture viewed as fundamentally different from relying exclusively on third-party frontier models.

The conversation also examined Palantir’s long-standing relationships with government agencies, defense organizations, and intelligence customers. Rather than focusing solely on the company’s financial performance, discussion emphasized its strategic positioning, customer lock-in, and the importance of software platforms that become deeply embedded within mission-critical operations. These characteristics align closely with many of the monopoly-building principles described by Peter Thiel in Zero to One, including ecosystem control, switching costs, and durable competitive advantages.

Valuation naturally entered the discussion as well. Although Palantir continued trading at historically elevated earnings multiples, it was also noted that the stock had already experienced considerable volatility during the first half of the year despite continued fundamental strength. Traditional valuation techniques may prove less useful for businesses operating near the center of rapidly evolving technological shifts, though investors should continue expecting meaningful volatility as markets attempt to price opportunities whose long-term economic potential remains difficult to quantify.

The conversation then turned to international AI competition following Anthropic’s allegations that operators affiliated with Alibaba (BABA) had attempted to distill capabilities from its frontier models through large numbers of fraudulent accounts. Alibaba disputed the allegations, but the reports nevertheless illustrated the powerful strategic incentives surrounding frontier AI development. The discussion highlighted China’s continued progress across artificial intelligence, particularly through rapidly improving open-source models, while also noting that competition between the United States and China now extends well beyond semiconductors into AI models, cloud infrastructure, research talent, and cybersecurity.

Those who had firsthand experience using Alibaba’s AI models also commented favorably on their capabilities, particularly in areas such as multilingual translation and open-source performance. The discussion reinforced the idea that while U.S. companies continue leading many frontier AI benchmarks, Chinese models have advanced rapidly, making long-term competition more balanced than many investors may assume.

The conversation ultimately returned to a recurring investment theme that has surfaced throughout recent meetings. Artificial intelligence is evolving into an infrastructure race as much as a software race. Compute, cybersecurity, proprietary data, enterprise workflows, government relationships, and distribution channels all appear likely to become just as strategically important as the AI models themselves, with companies controlling those foundational layers potentially capturing a significant share of the long-term economic value created by artificial intelligence.

4. AI Infrastructure, Compute Economics, and the Scale of the Next Investment Cycle

Artificial intelligence infrastructure remained one of the evening’s central themes as the discussion shifted from individual AI models toward the enormous amount of capital required to support the industry’s continued expansion.

The conversation revisited the accelerating investment cycle taking place across hyperscalers, cloud providers, semiconductor manufacturers, and governments. The AI race was described as resembling a large-scale industrial buildout requiring unprecedented investment in compute, networking, memory, data centers, cooling, and power generation. Rather than viewing today’s spending as a temporary surge, the conversation suggested that the current investment cycle may still be in its early stages as more capable AI models continue requiring exponentially larger amounts of computational resources. Supporting that perspective, the largest hyperscale technology companies have continued raising capital expenditure plans, with combined spending expected to reach record levels over the coming years.

One topic centered on the economics behind frontier AI models and why they remain so expensive to operate. Unlike traditional software businesses, each interaction with a frontier model consumes meaningful compute resources, making inference costs an important consideration as models become more capable. The discussion explored how reasoning models require substantially greater computational effort than standard chatbot interactions, with more advanced reasoning often consuming significantly larger numbers of tokens before generating a response. As AI agents become more widely deployed across enterprise applications, this growing computational intensity was viewed as another factor likely to support continued infrastructure investment.

This naturally led into discussion surrounding long-term capital expenditure requirements. The conversation explored the possibility that current forecasts may still underestimate how much infrastructure ultimately needs to be built if artificial general intelligence or superintelligence continues progressing as many industry leaders expect. Recent upward revisions to hyperscaler capital expenditure guidance, including additional spending on data center construction and AI infrastructure, were viewed as reinforcing that perspective. Across a wide range of potential outcomes, semiconductors, networking equipment, memory, cooling systems, and electrical infrastructure remain among the industry’s most important bottlenecks.

The group also acknowledged the primary downside risk to this thesis. If AI capabilities fail to improve as quickly as expected or if enterprise adoption slows materially, today’s extraordinary infrastructure spending could eventually prove excessive. Elevated capital expenditures have already placed pressure on free cash flow for some technology companies, leading investors to debate how quickly these investments will generate attractive returns. At present, however, the discussion noted little evidence that demand for compute is weakening. Instead, successive announcements involving new data centers, cloud deployments, and infrastructure partnerships continue reinforcing expectations that investment remains constrained more by available supply than by customer demand.

Overall, the discussion reinforced one of the group’s longest-running themes: artificial intelligence remains as much an infrastructure story as a software story. While AI models attract much of the public attention, compute, semiconductors, networking, memory, power generation, cooling, and data centers continue serving as the foundational assets supporting the industry’s long-term growth.

5. OpenAI’s Jalapeño Chip, Vertical Integration, and the Future of AI Hardware

The discussion then shifted toward OpenAI’s recently unveiled Jalapeño inference processor, developed in partnership with Broadcom (AVGO). While the collaboration between the two companies had been announced previously, the June unveiling of the chip itself marked another step in OpenAI’s effort to build a more vertically integrated AI platform.

Rather than viewing the announcement as an immediate competitive threat to NVIDIA (NVDA), the conversation focused on what it may signal about the industry’s longer-term direction. Jalapeño is not a general-purpose GPU but a custom inference accelerator built specifically for large language model workloads. Although it was designed to support OpenAI’s inference infrastructure, the architecture is intended to be flexible enough to work across different LLMs. The announcement nevertheless illustrates how leading AI developers are investing more heavily in specialized hardware optimized for their own software ecosystems.

The discussion also explored the growing importance of vertical integration. As AI companies continue expanding, many of the industry’s largest organizations may seek greater control across multiple layers of the technology stack, including chips, networking, cloud infrastructure, software, and AI models. Companies capable of integrating these systems internally may ultimately develop stronger competitive advantages while reducing reliance on third-party suppliers.

Customized AI hardware also highlights the evolving competitive landscape surrounding AI acceleration. While NVIDIA’s position remains substantial, inference processors, custom silicon, and alternative accelerator architectures continue becoming more important as AI workloads diversify. Broadcom, Google’s Tensor Processing Units (TPUs), Amazon’s (AMZN) Trainium platform, Cerebras, and other emerging hardware developers illustrate the range of approaches being pursued to accelerate AI workloads rather than directly replace traditional GPUs. Broadcom also stands out because its growing custom silicon business positions the company to benefit regardless of which leading AI developer ultimately succeeds with its own accelerator strategy.

One aspect of Jalapeño that stood out was the reported pace of development. The chip progressed from early design work to fabrication readiness in roughly nine months, substantially faster than many traditional semiconductor development cycles. OpenAI has also stated that its own AI models assisted portions of the engineering process, offering an early example of how AI itself may begin accelerating future chip development.

The economics of custom AI hardware also remain an important part of the investment thesis. While detailed performance data has not yet been released publicly, OpenAI has indicated that Jalapeño is designed to improve inference efficiency, and reports have suggested meaningful reductions in inference costs may be possible if the platform performs as expected. If successful, proprietary hardware could become an important component of improving long-term unit economics as frontier AI models continue scaling.

At the same time, the competitive landscape remains challenging. Building advanced semiconductor platforms requires significant engineering expertise, capital investment, and sustained execution across multiple product generations. Even with faster development cycles, creating competitive alternatives to established GPU ecosystems remains an exceptionally difficult undertaking given the software, manufacturing, and ecosystem advantages already built by incumbent providers.

The discussion also turned toward Elon Musk’s broader ecosystem strategy. Tesla (TSLA), xAI, energy infrastructure, robotics, and autonomous vehicles were cited as examples of how vertical integration may become a valuable competitive advantage throughout the AI industry. Rather than viewing these businesses independently, they were discussed as components of a larger ecosystem capable of sharing technology, infrastructure, and data across multiple business lines.

A wider investment theme also emerged. Rather than focusing exclusively on today’s market leaders, the conversation emphasized identifying businesses that are gradually expanding across multiple layers of the AI value chain. Companies capable of combining software, hardware, cloud infrastructure, networking, and proprietary AI systems may ultimately possess more durable competitive advantages than businesses operating within only a single segment of the ecosystem.

While it remains too early to judge Jalapeño’s long-term commercial impact, the announcement may provide an early indication of where AI infrastructure is headed. As more leading AI developers pursue custom silicon alongside proprietary software and cloud infrastructure, vertical integration could play a larger role in shaping future competition.

6. AI Drug Discovery, AlphaFold, and the Future of Healthcare Innovation

Healthcare once again featured prominently throughout the evening as the conversation explored several recent examples of artificial intelligence being applied to pharmaceutical research and personalized medicine.

The discussion began with a widely shared claim from computational biologist Douglas Yao that went viral on X roughly one week before the meeting, where he reported using AI-assisted workflows from a laboratory built in his home garage to develop a potential Alzheimer’s treatment known as PAC-832 (Douglas Yao’s X post). According to his public posts, AI was used throughout the discovery process to help design thousands of candidate molecules, automate portions of laboratory screening through AI-programmed robotics, and accelerate early-stage research. The announcement generated substantial engagement across the platform, although the work itself remains self-reported, has not undergone independent peer review, and is still in the early stages of laboratory testing.

The conversation then examined the substantial gap separating encouraging preclinical findings from successful human therapies. Alzheimer’s disease has historically produced one of the lowest clinical success rates in pharmaceutical research, with the overwhelming majority of experimental treatments failing before reaching patients. Although AI may substantially accelerate molecular discovery and candidate identification, successful commercialization still requires years of laboratory validation, clinical testing, regulatory review, and large-scale manufacturing before new therapies become widely available.

Rather than focusing solely on one specific drug candidate, the discussion expanded to the broader implications of AI-assisted research. If artificial intelligence continues improving scientific productivity, even modest gains in research efficiency could meaningfully shorten development timelines across many areas of medicine.

This naturally led into another widely discussed example involving machine learning engineer Paul Conyngham, who used AI tools, including AlphaFold, while collaborating with academic researchers to help develop an experimental personalized mRNA treatment for his dog Rosie, which reportedly reduced the tumor by roughly 75 percent. Although the reported results were encouraging, the case remained a single experimental example conducted within a veterinary research setting under university oversight and illustrated how AI can accelerate portions of the discovery process while still relying on scientific and institutional expertise.

The group also discussed AlphaFold, developed by Alphabet’s (GOOGL) Google DeepMind, and the growing role of computational biology. Its ability to predict protein structures has significantly expanded the capabilities available to researchers, and the work behind AlphaFold was recognized with the 2024 Nobel Prize in Chemistry. At the same time, it was emphasized that protein structure alone does not fully determine biological function, and translating computational predictions into effective human therapies still requires extensive laboratory validation and clinical testing. The continued development of Isomorphic Labs, Alphabet’s drug discovery company spun out of DeepMind, also illustrates how AI-driven research is being paired with the clinical development, regulatory, and commercialization capabilities of established pharmaceutical companies through partnerships with several major drug manufacturers.

The conversation also examined how AI could reshape the competitive dynamics of drug discovery. While smaller teams and independent researchers may become capable of identifying promising therapeutic candidates using AI-assisted workflows, large pharmaceutical companies continue possessing substantial advantages in clinical development, manufacturing, regulatory expertise, commercialization, and global distribution. As a result, many successful discoveries originating outside traditional pharmaceutical organizations could ultimately become partnership or acquisition opportunities for larger healthcare companies capable of bringing new therapies through the full approval process.

The discussion then expanded into longevity, preventative medicine, and healthcare optimization. Artificial intelligence was viewed as a tool capable of accelerating research across genomics, diagnostics, personalized medicine, and disease prevention. While many of these applications remain years away from widespread adoption, they illustrate how AI could meaningfully increase the pace of medical innovation over the coming decades.

Overall, the conversation emphasized maintaining a balanced perspective. Headlines surrounding AI-generated drug discoveries naturally attract significant public interest, yet scientific progress still depends upon rigorous experimentation, independent validation, and successful clinical outcomes. Even so, the examples discussed suggest that artificial intelligence has already begun reshaping biomedical research in ways likely to become more significant over time.

7. Social Media, Gambling, and the Economics of Digital Addiction

The discussion then shifted toward several consumer-facing industries shaped by digital engagement, behavioral incentives, and platform economics.

One topic centered on TikTok’s ongoing social media addiction litigation. The conversation extended beyond the legal proceedings themselves to examine platform design, user engagement, and the economic incentives driving many social media businesses. The discussion occurred against the backdrop of several recent legal developments. Earlier in the year, a California jury found Meta Platforms (META) and Alphabet’s (GOOGL) YouTube liable in one bellwether social media addiction case, while TikTok reached multiple pretrial settlements, including another on June 30, reflecting how litigation surrounding platform design and user engagement continues advancing.

Discussion then turned to how short-form video platforms optimize user engagement through recommendation algorithms and continuous content feeds. Comparisons were drawn between these engagement systems and behavioral techniques historically associated with casinos and slot machines, where variable rewards encourage users to continue interacting with a platform for extended periods of time.

The conversation also examined how growing public scrutiny may influence future regulation. Although individual legal settlements may have relatively modest financial effects on companies with substantial resources, the discovery process surrounding these lawsuits could reveal additional information regarding platform design and user engagement strategies. With thousands of individual cases and hundreds of school district lawsuits still pending, the legal precedents established over the coming years may ultimately prove more significant than the immediate financial costs associated with individual settlements.

The conversation naturally expanded into sports betting following the federal indictment of former NBA players Malik Beasley and Ed Davis on conspiracy and bribery charges related to an alleged player prop betting scheme. The case was viewed alongside other recent gambling-related investigations as another example of the regulatory and integrity challenges accompanying the rapid expansion of legalized sports wagering throughout the United States.

Rather than viewing gambling as an isolated industry, the discussion connected it to a wider pattern involving prediction markets, online betting, financial speculation, and other gamified digital experiences. It was observed that many platforms now compete for the same limited resource: user engagement. Whether through financial markets, sports betting, social media, or prediction markets, behavioral incentives continue influencing how people allocate both time and capital.

The discussion also explored possible second-order investment implications. As gambling, social media, and other digitally addictive behaviors continue expanding, demand for mental health services, addiction treatment, behavioral healthcare, and preventative wellness may also grow over time. Adjacent healthcare markets were discussed as potential long-term beneficiaries of these societal trends.

The meeting closed the topic by recognizing that regulation has historically tended to follow technological adoption rather than precede it. As with previous technological innovations, governments will likely continue balancing consumer protection with innovation while adapting legal frameworks to technologies evolving faster than traditional regulatory systems.

8. Robotics, Physical AI, and the Next Layer of Infrastructure

The conversation then returned to robotics following several recent developments involving humanoid hardware, robotic components, and industrial automation.

One topic centered on Proception, a robotic hand startup founded by former Tesla (TSLA) Optimus technical lead Jay Li. Shortly before the meeting, the company announced an $11 million seed funding round, introduced its ProHand 1.0 robotic hand, and settled litigation involving Tesla. Although the news itself generated interest, the discussion focused more on what it revealed about the current state of humanoid robotics. Much of the conversation centered on the view that while meaningful progress has been made in mobility, perception, and artificial intelligence, dexterous robotic hands remain one of the industry’s most difficult engineering challenges.

The discussion emphasized that humanoid robotics is not simply a question of intelligence. Consistently manipulating real-world objects with speed, precision, and reliability remains one of the primary obstacles to broader commercial deployment, with fine motor control, tactile sensing, durability, and manufacturing costs continuing to limit what today’s humanoid systems can accomplish outside carefully controlled environments. The conversation also revisited observations from the recent Automate conference in Chicago, where several attendees spent time exploring the latest developments in industrial automation and robotics. Seeing a wide range of humanoid robots operating in person reinforced that while mobility and AI capabilities have advanced considerably, dexterous hands and reliable object manipulation remain among the industry’s most significant engineering challenges. As the robotics ecosystem continues evolving, specialized components such as robotic hands may ultimately become a supplier market of their own rather than being developed entirely in-house by every humanoid manufacturer. Many commercial deployments today also remain concentrated in warehouse automation, manufacturing, logistics, machine vision, and other specialized industrial environments as the technology continues maturing.

The discussion then shifted toward the investment implications of these trends. Rather than attempting to identify the eventual winner among humanoid robot manufacturers, the conversation explored companies supplying the broader robotics ecosystem. Vision systems, industrial sensors, actuators, bearings, motion control components, cameras, and specialized semiconductor companies were all highlighted as potential second-order beneficiaries regardless of which humanoid platform ultimately achieves widespread adoption.

Companies such as Cognex (CGNX), Teradyne (TER), Ambarella (AMBA), along with Japanese industrial leaders including Fanuc, Keyence, Yaskawa, THK, and Nidec, were referenced as examples of businesses already supplying important technologies across industrial automation. Rather than depending entirely on the success of a single robotics company, these suppliers may benefit from continued automation across a wide range of industries.

The conversation also acknowledged the speculative nature of many publicly traded robotics companies. Recent announcements surrounding Agility Robotics’ planned SPAC transaction (CCXI), along with a growing pipeline of proposed humanoid robotics listings in Asia, illustrated both the strong investor enthusiasm surrounding physical AI and the challenges of valuing companies that remain in the early stages of commercialization. While some companies have begun deploying commercial systems with enterprise customers, long-term investment outcomes will ultimately depend on execution, scaling production, and achieving sustainable economics rather than promotional narratives.

The discussion also explored the likely pace of adoption. Although many attendees remain highly optimistic about robotics over the coming decade, several suggested that widespread commercialization may still be several years away. Current technological progress appears encouraging, but deployment is likely to occur gradually rather than all at once. As a result, enabling technologies may continue offering attractive risk-adjusted opportunities while the competitive landscape among humanoid platform developers continues evolving.

The discussion returned to a theme that has surfaced repeatedly throughout recent meetings. Artificial intelligence appears to be extending beyond software and into the physical economy. While robotics may still be in the early stages of its adoption cycle, continued advances in AI models, semiconductors, sensors, batteries, and industrial automation suggest that physical AI could become one of the next major waves emerging from today’s infrastructure buildout.

9. IREN, AI Infrastructure Governance, and Capital Allocation

The conversation then shifted toward IREN Limited (IREN), which generated one of the evening’s more detailed discussions surrounding management quality, capital allocation, and corporate governance.

Discussion began with the company’s recently announced multi-year global partnership with the Golden State Warriors. The agreement, reportedly worth more than $50 million annually and described as the richest sponsorship deal in North American team sports, will place the IREN logo on Warriors jerseys beginning with the 2026-27 NBA season while also extending across the Golden State Valkyries, Santa Cruz Warriors, and Chase Center. While the partnership substantially increased IREN’s visibility, questions were raised regarding whether a large consumer-facing sponsorship represents the most effective use of shareholder capital for a business whose primary customers are enterprise AI and cloud infrastructure companies. It was also noted that management has stated the sponsorship is intended to strengthen IREN’s presence within the Bay Area AI ecosystem, where many potential customers and startups are located.

The discussion then turned toward the company’s newly announced restricted stock unit awards for co-founders and co-Chief Executive Officers Daniel and William Roberts. Approved on June 30, the compensation package granted approximately 9.1 million restricted stock units to each executive, or roughly 18.2 million units combined, representing about 5% of the company’s outstanding ordinary shares. The awards generated considerable discussion because of both their size and structure. Unlike many long-term executive compensation plans tied to clearly defined operational or financial performance targets, the awards vest in equal annual installments over four years based primarily on continued employment, with each vested tranche remaining subject to an additional two-year holding period. Neither executive is eligible to receive another equity grant until fiscal 2031. The structure raised questions regarding incentive alignment between management and shareholders despite having been unanimously approved by the company’s independent directors following consultation with an independent compensation adviser.

While the awards were generally viewed as an unfavorable development from a governance perspective, the discussion stopped short of viewing them as sufficient reason on their own to abandon the investment thesis. Instead, it focused on the importance of continually evaluating management incentives as new information becomes available. Successful investing requires remaining objective while avoiding emotional attachment to previous assumptions. Even companies operating within attractive industries must still demonstrate disciplined capital allocation and shareholder-friendly governance over time.

The conversation also revisited IREN’s strategic position within AI infrastructure. Despite the recent governance concerns, the company’s long-term investment thesis remained largely intact. Its expanding power portfolio, growing data center footprint, and exposure to hyperscaler demand continue to represent significant competitive strengths if management executes successfully.

This naturally led into a discussion of sentiment and investment opportunity. Investor sentiment surrounding IREN had weakened considerably following both company-specific governance announcements and broader pressure across AI infrastructure providers after concerns emerged that Meta Platforms (META) could expand the resale of excess AI compute capacity. By early July, IREN shares had declined substantially from their late-May highs despite continued strength in the long-term outlook for AI infrastructure. The conversation noted that periods of negative sentiment can often warrant closer examination when long-term industry fundamentals remain largely intact, while recognizing that improving sentiment alone does not resolve governance concerns.

The discussion also compared IREN with several competing infrastructure providers, including Nebius Group (NBIS), CoreWeave (CRWV), Cipher Mining (CIFR), and other emerging AI compute businesses. Although each company possesses different strengths and weaknesses, the comparison reinforced that identifying an attractive industry is only one part of the investment process. Execution quality, capital allocation, management incentives, shareholder alignment, and corporate governance can ultimately become just as important as exposure to favorable long-term trends.

The conversation closed by reinforcing an idea that extended well beyond one individual company. Attractive secular growth themes can create compelling opportunities, but they do not eliminate the need to continually evaluate management decisions and incentive structures as new information becomes available. Maintaining an objective investment process remains essential, particularly in rapidly evolving industries where substantial amounts of capital continue flowing into new infrastructure projects.

10. Lightning Round: Transportation, Memory, Prediction Markets, and Second-Order Opportunities

The meeting concluded with a wide-ranging lightning round that touched on several individual companies and investment themes while reinforcing many of the ideas that had surfaced throughout the evening.

One of the more interesting discussions centered on the proposed merger between Union Pacific (UNP) and Norfolk Southern (NSC). The conversation explored how combining two of North America’s largest railroad operators could reshape freight transportation, logistics, and competitive dynamics across the industry, extending well beyond the transaction itself. Discussion included the ongoing regulatory review by the Surface Transportation Board, with a key supplemental filing deadline approaching later in July, as well as the long-term implications of creating the first truly coast-to-coast rail network if the transaction ultimately receives approval.

Discussion also turned toward several second-order businesses that could benefit depending on the outcome, including logistics providers, intermodal transportation companies, and firms positioned to capitalize on greater freight efficiency. Hub Group (HUBG) was highlighted as one potential beneficiary given its long-standing intermodal relationships with both Union Pacific and Norfolk Southern, with improved network efficiency and expanded single-line service potentially creating new freight opportunities if the merger proceeds. The discussion reinforced a recurring theme from previous meetings that significant industry developments often create attractive opportunities several layers beneath the headline company.

Prediction markets also returned as a topic of discussion. Intercontinental Exchange (ICE) generated interest following its investment and data partnership with Polymarket as institutional demand for prediction market data continues expanding. The conversation also explored the growing role of prediction markets as information markets capable of aggregating expectations across a wide range of economic, political, and technological topics. While the regulatory framework continues evolving, companies providing the underlying exchange infrastructure, market data, and distribution networks could benefit alongside the platforms themselves if adoption continues expanding.

Another second-order AI infrastructure opportunity emerged through discussion of Clean Harbors (CLH). Beyond semiconductor manufacturers and cloud providers, attendees also examined how companies specializing in hazardous waste disposal, industrial recycling, and environmental services may benefit from continued data center expansion. Data centers require the ongoing replacement and disposal of batteries, cooling systems, electronic components, and other specialized industrial materials, creating recurring demand for businesses capable of managing those assets throughout their operational life cycles. It was noted that this remains a forward-looking investment thesis rather than a primary driver of the company’s current financial performance, though AI infrastructure could eventually become another source of long-term demand alongside its existing environmental services business.

Oracle (ORCL) generated another detailed discussion following its significant share price decline despite continuing to report strong operating results. Concerns were raised regarding the company’s substantial capital expenditures, negative free cash flow, and expanding AI infrastructure commitments, while the recent weakness was also viewed as evidence that market sentiment may have become overly pessimistic. The conversation centered on whether hyperscalers and cloud providers may experience temporary pressure on profitability as they continue investing aggressively in AI infrastructure before realizing the corresponding revenue growth. Oracle’s record backlog was also noted as evidence supporting the view that long-term customer demand remains robust despite near-term financing requirements. Discussion surrounding Oracle also reinforced that temporary financial pressure does not necessarily invalidate a long-term investment thesis if underlying demand continues strengthening.

Micron Technology (MU) also returned as an important topic following another quarter of exceptionally strong financial results. The conversation explored whether the memory industry has fundamentally changed as AI infrastructure demand accelerates or whether traditional semiconductor cycles will eventually reassert themselves. Demand for high-bandwidth memory was discussed as a potential structural shift, with artificial intelligence requiring substantially greater quantities of advanced memory than earlier computing workloads and much of Micron’s near-term HBM production already committed under customer agreements. Even so, semiconductor markets have historically experienced periods of overinvestment followed by slower demand growth, making disciplined expectations important when evaluating long-term prospects.

While no one can predict exactly how future semiconductor cycles will evolve, the discussion noted that current evidence continues pointing toward exceptionally strong demand supported by AI infrastructure investment, hyperscaler spending, and increasingly capable frontier models.

The lightning round reinforced one of the group’s longest-running themes: some of the most compelling investment opportunities often emerge one or two layers beneath the most visible narratives. Infrastructure suppliers, logistics companies, industrial service providers, data distributors, specialized component manufacturers, and other enabling businesses frequently receive far less attention than headline technology companies despite occupying strategically important positions within rapidly expanding ecosystems.

Closing Thoughts

The July 6 meeting reinforced how quickly today’s investment landscape continues evolving and how interconnected many of its most important themes have become. Although the discussion moved across artificial intelligence, healthcare, robotics, semiconductors, transportation, geopolitics, consumer technology, market structure, and individual companies, each topic ultimately connected back to many of the same long-term forces reshaping the global economy.

Artificial intelligence remained the central thread throughout the evening, but the conversation consistently extended well beyond AI models themselves. Compute infrastructure, semiconductors, custom silicon, cloud platforms, cybersecurity, enterprise software, data ownership, robotics, biotechnology, transportation, logistics, and industrial automation were all discussed as interconnected components of a much larger technological transformation. Together, these developments continue reinforcing the view that AI is evolving into a broad industrial buildout requiring enormous investment across multiple layers of the economy.

The meeting also highlighted that identifying attractive long-term industries represents only part of successful investing. Throughout the discussion, execution repeatedly emerged as one of the defining factors separating long-term winners from the rest of the field. Capital allocation, management incentives, corporate governance, and disciplined leadership remained recurring considerations whether evaluating AI infrastructure companies, enterprise software, healthcare innovators, or emerging technology businesses. Long-term secular tailwinds create opportunities, but sustained value creation ultimately depends on execution.

Another theme that surfaced repeatedly was the importance of looking beyond the most visible headlines. Many of the most compelling ideas discussed throughout the evening centered on the companies supplying critical infrastructure, enabling technologies, specialized components, industrial services, and supporting ecosystems beneath larger trends. From AI data centers, custom chips, and high-bandwidth memory to robotic components, rail infrastructure, and environmental services, opportunities often appeared one or two layers removed from the companies receiving the greatest public attention.

Healthcare also continued standing out as one of the group’s highest-conviction long-term themes. Recent examples involving AI-assisted drug discovery, AlphaFold, computational biology, diagnostics, and personalized medicine illustrated both the tremendous potential and the scientific discipline still required to translate technological breakthroughs into meaningful patient outcomes. While progress is unlikely to be linear, advances across these fields continue suggesting that artificial intelligence may become an increasingly important catalyst for medical innovation over the coming decade.

Perhaps the most consistent lesson throughout the meeting was the importance of maintaining an interdisciplinary perspective. Understanding technology alone is no longer sufficient. Long-term investing increasingly requires connecting developments across engineering, economics, healthcare, geopolitics, infrastructure, regulation, finance, and human behavior while remaining willing to reassess assumptions as new information becomes available.

As always, the objective of The Investing Group remains unchanged: to challenge assumptions, exchange research, evaluate emerging trends from multiple perspectives, and deepen our understanding of an investment landscape that continues changing at an extraordinary pace.

We look forward to reconvening on Monday, July 20, 2026, at the Union League Club of Chicago as these themes continue evolving and new opportunities emerge across global markets. For those who were unable to attend or would like to revisit the discussion, a recording of the July 6 meeting is available on YouTube (

).

Attendance and Acknowledgements

A sincere thank you to everyone who attended and contributed to another outstanding discussion.

Attending members (listed alphabetically by last name):

Afeef Akhtar

Mario Sanchez (videography, media)

Diana Ascencio (media)

Victor Sanchez (founder, media)

Quinn Basta (recording, transcription, photography)

Sneha Shrivastav

Toby Chan

Moses Shriem

Seamus Cullinan

Eric Simpson (founder, moderation, summary, AI systems)

John Donners

Raza Siddiqui

Mohammed Haq (recording, transcription, attendance)

Daniel Valentino

Matthew Hilgart

Caleb Valdovinos

John Hockberger (founder, media)

Gabriel Zheng

Brian Jung

Jose Zuniga

Sandeep Kaza

Bill O’Brien

Suryansh Khatikar

Al Pakrosnis (AI systems)

Arthur Koslowski

Roberto Salgado

Legal Disclaimer

Nothing discussed during this meeting or contained within this summary constitutes financial advice or a recommendation to buy or sell any security. All discussion is intended solely for educational and informational purposes. Members should conduct their own research and consult appropriate financial professionals before making investment decisions

The recent escalation in the U.S.-Israel-Iran war threatens to undo this easing, however, as both sides have stepped up their attacks and Iran declaring the Strait of Hormuz “closed” once again. Five months into the “3-day excursion,” the U.S. finds itself embroiled in what is quickly turning into another lengthy quagmire in the Middle East, with risks skewed towards an intensification of the war. If that were to happen, we could see the closure of the Bab al-Mandab Strait as well, another chokepoint for global trade, and further damage to regional infrastructure that could send the prices for energy and other key commodities surging once again.

Taken together, last week’s data and geopolitical developments affirms a “higher-for-longer” interest rate environment. The release of the June FOMC meeting minutes revealed a divided committee with nine of 18 participants offering projections expecting at least one additional rate hike before the end of 2026. Furthermore, the committee dropped its “easing bias.” Policymakers flagged massive AI investments, tariffs, and the fallout from the Middle East war as drivers of inflation.

Week ahead for economic data: The upcoming week’s releases present a crucial test with the June CPI and PPI inflation reports, retail sales, and the preliminary University of Michigan consumer sentiment print for July taking center stage. Beyond the economic data, markets will also absorb a slew of earnings reports alongside a dense slate of speeches by Fed officials, headlined by Chair Kevin Warsh’s semi-annual congressional testimony. Together, these inputs will serve as a vital check on consumer demand, inflation, and corporate profitability in light of the central bank’s hawkish shift.

This report is authored by Saied Toossi, an independent contributor and collaborator of The Investing Group. The views, analysis, and opinions expressed are solely those of the author and do not necessarily reflect, and may at times differ from or contrast with, the positions of The Investing Group, its founders, or its members. Collaborator content is shared to offer a range of independent perspectives. Nothing herein is financial advice or a recommendation to buy or sell any security. All content is for educational and informational purposes only.

The economy added 57,000 jobs in June, below expectations but roughly in line with the average monthly change over the past year. Healthcare and social assistance remained the main driver of job growth. One month of data does not make a trend, of course, and the initial figure is likely to be revised in future releases. The unemployment rate paints a more stable picture, ticking down slightly from 4.3% in May to 4.2% in June, though the decline was driven by a falling labor force participation rate as discouraged workers dropped out of the workforce. That dynamic was mirrored in May’s JOLTS data, which continued to reflect a labor market at a standstill, with job seekers finding it difficult to secure employment.

Labor market anxiety and the cost of living remain key drivers of consumer sentiment. Although the Conference Board Consumer Confidence Index edged up slightly in June, the headline number masks a divergence between the Present Situation and Expectations indices. Consumers expressed greater optimism about the near-term outlook following the extension of the U.S.-Iran ceasefire, but felt worse about the present, with the share calling jobs “hard to get” surging to a 5.5-year high of 22.5%. With nominal average hourly earnings rising 3.5% year-over-year, workers have now endured three consecutive months of negative real wage growth against inflation hovering around 4%.

Meanwhile, the manufacturing sector finds itself caught in an inflationary vice. While the ISM Manufacturing PMI logged its sixth consecutive month of expansion, its Prices Index remained elevated as purchasing executives cited lingering supply chain friction from the U.S.-Israel-Iran war and tariffs keeping input costs high. The Trump administration’s announcement last week that it would not renew the United States-Mexico-Canada Agreement (USMCA), which governs roughly $2 trillion in trade among the three countries, could add to those pressures. The agreement remains in effect but will now undergo annual reviews that could further alter the status quo, adding to trade and tariff uncertainty.

Week ahead for economic data: The upcoming release calendar is relatively light, featuring additional PMI readings from both S&P Global and ISM, along with ADP employment data and initial and continuing jobless claims. Of particular note will be the minutes from the FOMC’s last meeting, the first headed by newly minted Chairman Kevin Warsh, which will offer insight into the committee’s internal policy discussions.

This report is authored by Saied Toossi, an independent contributor and collaborator of The Investing Group. The views, analysis, and opinions expressed are solely those of the author and do not necessarily reflect, and may at times differ from or contrast with, the positions of The Investing Group, its founders, or its members. Collaborator content is shared to offer a range of independent perspectives. Nothing herein is financial advice or a recommendation to buy or sell any security. All content is for educational and informational purposes only.

The meeting welcomed several first-time attendees and continued the open discussion format that has become one of the defining characteristics of the group. Conversation moved naturally across geopolitics, monetary policy, artificial intelligence, semiconductors, commercial space, healthcare innovation, market structure, public policy, and individual investment ideas, with each topic building on the broader themes discussed throughout the evening.

Several recurring ideas connected many of the conversations. One was that infrastructure continues to matter more than applications. Whether discussing semiconductors, AI models, rare earths, power generation, data centers, healthcare technology, or commercial space, the conversation repeatedly returned to the systems supporting long-term technological progress. Another was that markets continue pricing future expectations more than present conditions, making it just as important to understand incentives, capital flows, and policy as individual companies themselves. Finally, the meeting reinforced how many of today’s most compelling investment opportunities emerge where technology, finance, geopolitics, and public policy intersect, requiring investors to think across multiple disciplines rather than focusing on any single sector in isolation.

Here is the recap.

1. Micro-Cap Trading, Secondary Offerings, and Financing Risk

The meeting opened with a discussion of two recent trading experiences that illustrated many of the structural risks present within today’s micro-cap market.

The first example centered on IceCure Medical (ICCM). Following news that the company had expanded its U.S. commercial install base by roughly 70% after receiving FDA marketing authorization for its ProSense tumor-freezing system in late 2025, shares surged more than 230% and climbed from an opening price of $4.23 to an intraday high near $9.54 on June 17. The rally quickly reversed after the company announced a $5.5 million private placement with a single healthcare-focused institutional investor. Unlike many highly dilutive financings commonly seen in micro-cap stocks, the offering was priced at a premium to the previous closing price and included warrants as part of the transaction. Even so, the announcement abruptly reversed the stock’s momentum and demonstrated how quickly financing events can derail even the strongest rallies. Adding to the volatility, IceCure had completed a 1-for-30 reverse stock split earlier in the month, creating the type of low-float trading environment that often amplifies both rallies and reversals.

The conversation then shifted to CervoMed (CRVO), which produced a similar outcome only one trading session later. Shares had rallied sharply following a large insider purchase and positive patent-related news, climbing above $7 intraday before the company announced a $10 million registered direct offering priced at $4.00 per share. The stock quickly collapsed toward the offering price in the $4 range, triggering multiple downside volatility halts within minutes as the financing was absorbed by the market. The financing came only eight days after CervoMed had completed a separate $10.5 million private placement, reinforcing how often cash-hungry biotechnology companies return to capital markets. The discussion also noted that many of these highly dilutive financings are repeatedly arranged by the same small group of boutique investment banks that specialize in lower-quality small-cap issuers, making them another recurring feature of this corner of the market.

Events like these are common because many small-cap biotechnology and emerging growth companies generate limited operating cash flow and depend heavily on equity issuance to finance operations. Strong price momentum creates an opportunity to raise capital on more favorable terms, even if doing so interrupts existing shareholder momentum. While these financings can strengthen a company’s balance sheet, they can also produce substantial losses for short-term traders caught on the wrong side of the announcement.

More broadly, these examples highlight why financing incentives remain an essential consideration when evaluating speculative companies. Beyond charts and business fundamentals, it is also important to understand a company’s cash position, future capital needs, balance sheet strength, dilution risk, and the probability of additional equity raises. Those structural considerations can often become just as important as technical analysis when evaluating lower-capitalization companies.

2. Iran, Oil Markets, and Why Markets Stopped Reacting

The group revisited the evolving situation between the United States, Israel, and Iran following another week of negotiations, ceasefire discussions, and conflicting reports surrounding the Strait of Hormuz.

The conversation covered the recently signed memorandum intended to move both countries toward a formal agreement over the coming months, alongside additional diplomatic meetings in Switzerland aimed at implementing its terms. Negotiations continued generating headlines, but the consensus was that financial markets had become more focused on the likelihood of eventual normalization and the long-term economic outlook.

Crude oil remained a central focus throughout the discussion. Earlier phases of the conflict had pushed prices above $120 per barrel as investors feared prolonged disruptions to one of the world’s most important energy corridors. By the time of the meeting, Brent crude had fallen to roughly $80 and WTI to the upper $70s. Uncertainty surrounding shipping activity through the Strait of Hormuz remained, with reports alternating between claims that the strait had resumed normal operations and assertions that restrictions were still in place as diplomatic negotiations and military activity continued. Even so, financial markets showed far less sensitivity to those headlines than they had during the initial stages of the conflict.

The discussion highlighted an important distinction between current events and market expectations. Financial markets discount future outcomes rather than present conditions. Military operations and diplomatic disagreements continued, yet investors appeared to believe that the worst economic consequences had already passed. Equity markets remained resilient, oil prices retreated substantially from their earlier highs, and volatility continued to decline. Commercial shipping through the Strait of Hormuz also recovered meaningfully, reinforcing expectations that global energy supplies would remain largely uninterrupted.

The group also noted that repeated geopolitical scares can gradually lose their ability to influence markets. Similar to other recurring geopolitical events throughout history, investors eventually begin distinguishing between headlines that materially change long-term economic conditions and those that generate only temporary uncertainty. Unless new developments fundamentally alter expectations, markets often become desensitized over time.

The conversation returned to the importance of duration. Temporary supply disruptions generally produce manageable economic effects, while prolonged disruptions become considerably more damaging. Current market pricing appeared to reflect expectations that any remaining instability would ultimately prove temporary rather than permanent.

The takeaway was that financial markets continue pricing probability distributions instead of reacting to every headline. Investors appeared to believe that the conflict had moved beyond its most economically disruptive phase, even though significant geopolitical uncertainty remained.

3. Kevin Warsh, Interest Rates, and the New Federal Reserve

Another major topic centered on the Federal Reserve’s first policy meeting under new Chairman Kevin Warsh and what it may signal for monetary policy going forward.

As widely expected, the Federal Reserve left interest rates unchanged at 3.50% to 3.75%. More notable than the decision itself was the unanimous 12-0 vote, which contrasted with the more divided April meeting that ended in an 8-4 vote. While the decision to hold rates reflected broad agreement, the updated economic projections revealed a much less unified outlook for the path ahead as officials remained concerned about persistent inflationary pressures.

Discussion also focused on the updated policy outlook released alongside the meeting. The median projection now points to the possibility of one additional 25 basis point rate increase before the end of 2026, a meaningful shift from the March forecast that had projected two additional rate cuts this year. Longer-term projections still imply gradual rate reductions during 2027 and 2028 if inflation continues moving back toward the Federal Reserve’s target.

The inflation backdrop also became part of the conversation. Recent increases in energy prices following the Iran conflict have complicated the Fed’s inflation outlook, helping explain why policymakers adopted a more cautious and hawkish stance despite leaving interest rates unchanged.

Prediction markets also entered the conversation. The group reviewed Polymarket pricing, which reflected a higher probability of another rate hike following the meeting. While prediction markets are not perfect forecasting tools, they provide a useful measure of market expectations because participants commit real capital behind their views.

The group also discussed Warsh’s first public appearances as chairman. His early communication was viewed favorably, with several people noting that he appeared committed to preserving the Federal Reserve’s independence despite political pressure to lower interest rates. Holding rates steady while presenting a more hawkish outlook was viewed as reinforcing that independence, particularly given expectations surrounding his appointment. The meeting also marked the beginning of several procedural changes under Warsh’s leadership, including a streamlined policy statement and plans to review various aspects of the Federal Reserve’s communication and policy framework.

The conversation also explored whether financial markets respond differently to changes in interest rates than they did in previous decades. It was noted that equity markets may have become somewhat less rate sensitive because technology companies now account for a much larger share of major stock indices. Unlike many traditional industries, the largest technology companies generally generate substantial free cash flow, maintain strong balance sheets, and rely less heavily on external financing.

The discussion also recognized that the current wave of AI investment has introduced a new level of capital intensity across the technology sector. Hyperscalers are committing enormous amounts of capital toward AI infrastructure, semiconductors, and data centers, making financing conditions another factor worth monitoring as those investments continue to expand.

Overall, the conversation suggested that today’s market may not respond to changes in monetary policy in exactly the same way it did during previous decades. The changing composition of major stock indices and the scale of ongoing AI investment have altered some of the variables investors are evaluating as interest rate policy evolves.

4. AI Infrastructure, Hyperscaler Spending, and the Economics of the Buildout

Artificial intelligence once again became one of the evening’s longest discussions, focusing on hyperscaler spending, semiconductor demand, and the enormous capital requirements behind the industry’s rapid expansion.

The conversation examined whether today’s AI infrastructure buildout resembles previous technology investment cycles or represents something fundamentally different. Major technology companies continue announcing unprecedented capital expenditure plans, with the four largest U.S. hyperscalers expected to spend roughly $725 billion during 2026 alone. Billions of dollars continue flowing toward GPUs, networking equipment, data centers, cooling systems, and power generation, reinforcing the view that electricity and physical infrastructure have become some of the industry’s most important constraints.

The group discussed whether these investments ultimately create sustainable economic value or simply reflect competitive pressure forcing every large technology company to spend aggressively in order to avoid falling behind. The largest hyperscalers were viewed as resembling startups operating at massive scale, reinvesting extraordinary amounts of capital into infrastructure while betting that future applications will eventually justify today’s spending. The spending has already begun weighing on free cash flow for several companies, highlighting just how significant the investment cycle has become.

NVIDIA (NVDA) remained at the center of the discussion. Beyond selling AI chips, the company now occupies a position resembling the financial backbone of much of the AI ecosystem. Through strategic investments, financing arrangements, cloud capacity agreements, and partnerships with companies building AI infrastructure, NVIDIA has embedded itself beneath many of the industry’s largest projects. It was also noted that this has created a self-reinforcing cycle in which NVIDIA helps finance infrastructure expansion, those companies purchase large quantities of NVIDIA hardware, and successful deployments further strengthen NVIDIA’s position throughout the ecosystem.

The discussion also explored whether this growing interdependence creates additional systemic risk. If infrastructure spending continues accelerating and AI revenues ultimately meet expectations, the current investment cycle could prove entirely justified. If hyperscalers begin missing growth expectations or significantly reduce future capital expenditures, the effects could ripple across semiconductor suppliers, cloud providers, networking companies, neocloud operators, and many other infrastructure businesses simultaneously.

China’s role within the AI race also remained an important topic. The release of increasingly capable and lower-cost frontier models from Chinese developers raised questions about whether greater efficiency or alternative model architectures could eventually reduce dependence on massive GPU clusters. While China’s progress has been notable, much of the discussion concluded that improved efficiency may ultimately increase long-term compute demand by lowering costs and enabling many more AI applications to be developed, reinforcing a theme that had also been discussed during the previous meeting.

The conversation also expanded into the competitive landscape among frontier AI models. Claude remained the preferred model for many attendees, particularly for coding and reasoning tasks. ChatGPT continued receiving widespread use across general-purpose applications, while Gemini attracted interest for mathematical research and deeper integration with Google’s ecosystem. Grok was also discussed, while Venice AI and Euria were highlighted as examples of privacy- and sovereignty-focused AI platforms built around open-source models, illustrating how quickly the competitive landscape continues evolving.

The evening concluded with the view that competition extends well beyond the AI models themselves. Infrastructure, compute, semiconductors, data, energy, and distribution continue emerging as the primary long-term bottlenecks. While applications capture much of the public attention, ownership of the underlying infrastructure may ultimately determine where the greatest economic value accumulates across the AI ecosystem.

5. Anthropic, Government Restrictions, and the Next Stage of AI Development

One of the evening’s most interesting discussions centered on Anthropic’s brief release of Claude Fable 5 and Claude Mythos 5 before access was unexpectedly suspended following intervention from the U.S. government.

The conversation examined reports that the U.S. Department of Commerce had issued export control directives on June 12, just three days after the models were introduced, restricting access for foreign nationals, including certain employees inside Anthropic itself. Fable 5 served as the safeguarded, public-facing model built on top of the more capable Mythos 5, which was designed for advanced cybersecurity research. Shortly afterward, Anthropic suspended broader access while working through the government’s concerns.

The situation stood out because one of the industry’s most advanced AI systems had become the subject of national security policy almost immediately after launch. Frontier AI models were discussed as strategic technologies whose deployment now carries implications extending well beyond a traditional software release.

The discussion then shifted toward the reasoning behind the restrictions. Reports indicated that a trusted partner working with both Anthropic and the government had demonstrated a jailbreak capable of bypassing Fable 5’s safeguards and exposing some of Mythos 5’s underlying cybersecurity capabilities. Amazon (AMZN) was widely reported as playing a role in bringing the issue to government officials, although aspects of that account remain disputed. Anthropic maintained that the jailbreak was narrow in scope and that comparable capabilities already existed in other frontier AI models. Government officials reached a different conclusion, viewing the incident as a meaningful national security concern that warranted immediate action.

The discussion also returned to Leopold Aschenbrenner’s Situational Awareness paper, which several attendees viewed as becoming more relevant as recent events continue to unfold. The paper argues that AI development follows scaling curves capable of producing rapid capability gains once sufficient compute becomes available. Some viewed the developments surrounding Anthropic as broadly consistent with those longer-term projections regarding the strategic importance of frontier AI systems.

Prediction markets also entered the discussion as the group examined contracts tracking when public access to Fable 5 and Mythos 5 might return. The markets became more nuanced following the government’s June 26 decision to permit Mythos 5 to return to roughly 100 approved U.S. organizations for defensive cybersecurity work while Fable 5 remained unavailable to the general public. The evolving odds illustrated how prediction markets continue expanding into highly specialized technology and policy topics.

The discussion concluded that frontier AI models have entered a different category than previous generations of software. Export controls, cybersecurity, geopolitical competition, and national security considerations are now influencing deployment decisions alongside commercial objectives. AI development is beginning to resemble advanced semiconductor technology, where strategic importance extends well beyond the companies building the models.

6. ASML, China, and the Semiconductor Arms Race

The discussion then shifted toward semiconductors following reports that U.S. officials had raised concerns that components and specialized transport equipment associated with ASML Holding’s (ASML) advanced EUV lithography systems may have reached China despite export restrictions. The reports also raised separate concerns regarding ASML’s technological support provided to SwaySure Technology, a Chinese company with links to Huawei, although U.S. officials did not publicly disclose evidence supporting the allegations.

ASML firmly denied ever shipping an EUV machine to China or any components specifically designed for use in an EUV system. The company also stated that none of the 314 EUV systems currently operating worldwide, along with 26 decommissioned systems, are located in China. The reports nonetheless highlighted the enormous strategic importance attached to advanced semiconductor manufacturing equipment. The scale of an EUV system also provides useful context. Each machine weighs roughly 180 to 200 tons and requires specialized transportation, installation, and ongoing servicing, illustrating just how difficult it would be to move and operate such equipment outside established supply chains.

The group revisited ASML’s unique position within the semiconductor ecosystem. The company maintains a global monopoly over extreme ultraviolet lithography systems required to manufacture the world’s most advanced chips. That technological lead has become one of the strongest competitive moats anywhere in the global economy, making ASML one of the most strategically important companies supporting AI infrastructure.

Discussion also explored China’s ongoing efforts to narrow the semiconductor gap through domestic investment, engineering talent, reverse engineering, talent acquisition, and indigenous hardware development. China has also continued advancing its semiconductor capabilities using older deep ultraviolet (DUV) lithography systems. Although DUV tools cannot manufacture the most advanced leading-edge chips enabled by EUV, they remain capable of producing many mature and mid-range semiconductors through sophisticated multi-patterning techniques.

An important distinction emerged between hardware and human capital. While export controls seek to limit access to advanced manufacturing equipment, engineering knowledge moves across borders far more easily. Experienced semiconductor engineers, researchers, and manufacturing specialists may ultimately prove just as valuable as the machinery itself when attempting to develop advanced domestic semiconductor capabilities. ASML CEO Christophe Fouquet has argued that replicating EUV is far more difficult than simply reverse engineering a machine, noting that decades of prior technological development and roughly twenty years of research were required to solve the challenge of generating EUV light. At the same time, reports that Chinese researchers have developed and begun testing an early domestic EUV prototype illustrate how rapidly China’s semiconductor capabilities continue to evolve, even if significant commercialization challenges remain.

The conversation also examined differing views regarding China’s long-term competitive position. Some analysts, including Atreides Management founder Gavin Baker, have argued that tightening export restrictions on advanced semiconductor manufacturing equipment will allow the United States to widen its technological lead over China. Others believe China’s enormous investment in semiconductor research, manufacturing capabilities, and engineering talent will enable it to steadily close portions of the gap over time. Huawei’s recent demonstrations of continued progress without access to EUV equipment were cited as one example supporting the latter perspective.

ASML also occupies a uniquely challenging position within the global semiconductor industry. China is expected to account for roughly 20% of the company’s 2026 revenue, down substantially from recent years, even as Washington continues pushing for tighter export controls on advanced semiconductor manufacturing equipment. That dynamic illustrates how companies supplying critical AI infrastructure have become deeply intertwined with both commercial competition and national security.

The discussion concluded that semiconductors remain one of the defining strategic battlegrounds within AI. Advanced chip manufacturing has evolved beyond an industrial advantage into an issue of economic leadership, technological competitiveness, and national security, with ASML continuing to occupy one of the most important positions anywhere along the global AI supply chain.

7. SpaceX, the IPO, and Commercial Space Infrastructure

SpaceX (SPCX) remained one of the dominant topics throughout the meeting following its long-awaited public debut.

The discussion began with the company’s initial trading performance. After a strong opening following its June 12 listing, shares experienced notable volatility during the following week, reinforcing the view that the IPO marked the beginning of a much longer-term story rather than one centered on short-term price movements. SpaceX now sits at the intersection of aerospace, communications, artificial intelligence, launch services, and large-scale compute infrastructure.

Many of the themes introduced during previous meetings resurfaced as the conversation shifted toward the company’s transition into the public markets. Topics included float dynamics, anticipated Nasdaq-100 inclusion, institutional demand, and the challenges associated with valuing a business operating across multiple industries. The wide dispersion in analyst price targets highlighted how difficult that exercise has become.

It is also worth noting that despite its enormous size, SpaceX still resembles a giant startup in many respects, with a significant portion of its valuation tied to expectations for businesses that remain in the early stages of commercialization. Much of the company’s value is therefore based on long-term execution across industries with substantial growth potential but also many unknowns.

The group also examined how capital appeared to rotate immediately following the IPO. Many publicly traded commercial space companies sold off sharply as investors shifted capital toward SpaceX after finally gaining direct exposure to the industry’s dominant company. The move suggested that, at least initially, the IPO drew liquidity away from much of the commercial space sector instead of lifting valuations across the industry.

Beyond the stock itself, much of the conversation focused on SpaceX’s long-term strategic positioning. The company’s expanding AI infrastructure business, large-scale compute ambitions, and relationships with Anthropic and Alphabet (GOOGL) were viewed as important growth drivers alongside its traditional launch operations. If these infrastructure initiatives continue to scale successfully, they could eventually become as meaningful to SpaceX as its traditional aerospace business, further broadening the company’s long-term opportunity.

The discussion also revisited orbital data centers and the possibility that future AI infrastructure could eventually expand beyond Earth. While still highly speculative, SpaceX’s public filings reference plans to begin deploying orbital AI compute satellites as early as 2028 while acknowledging that many of the required technologies remain novel and unproven. Several attendees viewed space-based compute as a logical long-term response to growing constraints surrounding power availability, cooling, and land.

Commercial space was also viewed as an industry where execution risk remains substantial despite compelling long-term opportunities. Companies such as Rocket Lab (RKLB) continue trading at valuations that assume meaningful future execution, while many other publicly traded space companies remain dependent on technologies that have yet to reach commercial maturity.

The overall takeaway was that SpaceX represents far more than a launch company. It has evolved into a diversified infrastructure platform spanning aerospace, communications, artificial intelligence, and compute, making it one of the most closely watched technology companies entering the public markets.

8. Market Structure, Leverage, and the Growth of Financial Speculation

The meeting also examined how financial markets continue evolving toward greater leverage, faster trading, and more speculative behavior.

The discussion centered on the rapid expansion of leveraged single-stock exchange traded funds, including products launched immediately following the SpaceX (SPCX) IPO that gave investors two-times leveraged long exposure on the first day of trading, with inverse products arriving shortly afterward. SpaceX itself became the latest addition to what had already grown into a rapidly expanding market for leveraged single-stock ETFs.

These products were viewed as another step in the evolution of modern market structure. Leveraged ETFs, zero-day options, prediction markets, crypto perpetual futures, and other derivatives continue expanding access to trading strategies that were once largely limited to institutional participants.

Historical comparisons naturally emerged. The conversation revisited the 1987 market crash, portfolio insurance, the collapse of inverse volatility products during the 2018 “Volmageddon” event, and the role structured products have played during previous periods of financial instability. No direct comparison was made between today’s products and earlier crises, though financial innovation has often produced unintended consequences once market conditions become sufficiently stressed.

The recent elimination of the Pattern Day Trader rule also returned as part of the discussion. Effective June 4, the long-standing $25,000 minimum equity requirement and Pattern Day Trader designation were removed under FINRA’s new intraday margin framework. While the regulatory change had already taken effect, implementation across brokerage firms is expected to occur gradually over an 18-month transition period. The change was viewed as another example of retail investors gaining easier access to active trading while leverage continues becoming more accessible.

The discussion emphasized that speculation itself is not necessarily problematic. Greater market access can improve liquidity and participation, but when multiple forms of leverage become concentrated throughout the financial system at the same time, markets may become more sensitive to liquidity shocks and abrupt shifts in investor sentiment.

The conversation concluded that financial markets continue evolving alongside technology. Markets are becoming faster, more accessible, and more leveraged, creating new opportunities for sophisticated investors while placing greater importance on understanding liquidity, positioning, and systemic risk.

9. Robinhood AI Agents and the Automation of Retail Investing

Robinhood (HOOD) returned as a major topic following additional discussion surrounding its newly launched AI-powered investing platform.

Attendees shared early experiences using Robinhood’s new Agentic Trading platform, which allows users to connect third-party AI agents, such as ChatGPT or Claude, to dedicated brokerage accounts through Robinhood’s Model Context Protocol (MCP). Users allocate a specific amount of capital to these separate accounts while defining the objectives and rules the AI follows when making investment decisions.

Early feedback proved encouraging. One attendee described allowing an AI agent to begin with broad market ETFs before gradually expanding into more sophisticated strategies. Initial results appeared positive, though it was also noted that the platform remains in beta and currently supports equities, with additional asset classes expected in future releases.

The conversation expanded into the implications of AI-assisted investing. Many viewed these systems as personal portfolio managers capable of handling routine portfolio management and trade execution while leaving overall investment strategy and risk management in the hands of the user. The ability to automate tasks such as portfolio rebalancing or systematic buying based on predefined conditions was viewed as one of the platform’s most compelling features.

Robinhood’s broader ecosystem strategy also received considerable discussion. Beyond AI investing, the company continues expanding into credit cards, tokenized private assets, prediction markets, and additional financial products designed to deepen customer engagement. This expansion reflects a strategy centered on building a fully integrated financial ecosystem instead of operating solely as an online brokerage.

Robinhood’s demographic advantages were also viewed favorably. With a median customer age of just 36 and roughly half of its users entering the markets as first-time investors, the company appears well positioned as younger generations continue adopting digital-first financial platforms.

The conversation also touched on how Robinhood compares with more established financial institutions. While traditional firms continue to maintain significant advantages across investment banking and institutional finance, Robinhood has differentiated itself through product innovation, user experience, and its willingness to adopt emerging technologies at a rapid pace.

One additional consideration is the evolving regulatory landscape surrounding AI-driven investing. While users remain in control of defining the rules their AI agents follow, the legal and regulatory framework governing autonomous trade execution continues to develop as financial regulators evaluate how existing rules apply to AI-assisted investing.

Overall, the discussion reflected the view that investing is steadily evolving into a software-driven experience where automation, AI, and integrated financial ecosystems will play a much larger role in how investors interact with the markets over the coming years.

10. Snap, Consumer AI Hardware, and the Future of Wearable Computing

Another topic explored during the meeting centered on Snap’s (SNAP) recently announced augmented reality glasses and the future of wearable AI devices.

Initial reactions focused largely on the product’s appearance, price, and practicality. Compared with Meta Platforms’ (META) $799 Meta Ray-Ban Display glasses, Snap’s Specs carry a substantially higher $2,195 price tag while also introducing a noticeably larger and heavier design.

Despite the initial criticism, the conversation expanded into the longer-term evolution of wearable computing. People who had used Meta’s smart glasses described practical applications including navigation, real-time translations, AI assistance, and hands-free photography. The conversation also explored how continued advances in AI assistants could expand these devices into more capable everyday computing platforms, with new possibilities emerging for content creation and a growing range of daily tasks.

Technical comparisons between the competing products also provided useful perspective. Snap’s Specs are fully standalone devices featuring binocular displays in both lenses and greater onboard computing capabilities, while Meta has prioritized a lighter form factor that pairs closely with a smartphone for many cloud-based AI features. The discussion highlighted the tradeoff between maximizing functionality and maintaining comfort and affordability.

The group also considered whether products like these represent the beginning of another computing transition similar to smartphones nearly two decades earlier. Although today’s hardware remains relatively bulky, expensive, and limited by battery life, first-generation consumer technologies often improve rapidly through successive product cycles.

The conversation also shifted toward Snap as a business. The company continues searching for new avenues of growth following years of slower momentum in its core social media platform, raising the question of whether its push into augmented reality hardware represents a necessary strategic pivot or the early stages of a genuinely differentiated long-term opportunity. Regardless of the answer, the company is making a meaningful effort to establish a position in what could become an important new computing platform. Questions were also raised about whether augmented reality hardware could eventually become a meaningful business on its own or whether Snap’s underlying platform and intellectual property might ultimately prove more valuable as part of a larger technology ecosystem, leaving open the possibility that the company could become an acquisition target if those assets prove more valuable to a larger platform.

Consumer AI hardware still appears to be in its earliest stages. While current devices remain imperfect, wearable computing has the potential to become an important interface through which people interact with AI throughout the coming decade.

11. Illinois Policy, Data Centers, Crypto, and Political Positioning

The discussion then shifted closer to home with several Illinois developments that highlighted the growing intersection between AI infrastructure, public policy, and state politics.

One of the primary topics involved Governor J.B. Pritzker’s decision to pause Illinois’ tax incentives for new data center development beginning July 1. The move followed the legislature’s failure to pass a broader reform package during the spring session and applies only to new incentive applications, while existing agreements remain in place. The incentive program itself dates back to bipartisan legislation passed in 2019 and has supported dozens of projects across the state over the past several years.

The conversation examined the competing forces shaping the decision. AI infrastructure continues driving enormous investment, construction activity, and long term economic development, while communities have become more vocal about power consumption, water usage, land availability, noise, and the impact large scale data centers can have on surrounding neighborhoods. The pause was also accompanied by a broader framework addressing areas such as energy and water reporting, community benefit agreements, and greater public transparency.

Discussion centered on whether limiting incentives could encourage future development to shift toward neighboring states, particularly Indiana, where developers continue pursuing large AI infrastructure projects. It was also noted that although state level incentives may slow, local governments still retain considerable flexibility to negotiate directly with developers based on their own economic priorities.

The announcement was also viewed through a political lens, with the timing coinciding with AI infrastructure becoming a more visible public issue. At the same time, it was also recognized that the policy followed an unsuccessful legislative effort and was accompanied by substantive reform proposals, making the decision more nuanced than a purely political gesture.

The conversation also expanded into Illinois’ newly enacted 0.2% digital asset tax, which was signed into law as part of the state’s fiscal year 2027 budget and is scheduled to take effect on January 1, 2027. Rather than taxing investment gains directly, the measure applies to digital asset business activity through exchanges, custodians, and other service providers. The conversation also explored whether the additional costs and regulatory burden could encourage cryptocurrency firms and digital asset businesses to expand operations elsewhere as states continue competing to attract financial technology companies.

Prediction markets also became part of the conversation as the discussion expanded into Governor Pritzker’s broader political positioning. Current pricing surrounding future presidential candidates was examined, with Governor Pritzker trading at relatively low implied probabilities despite his national profile and financial resources. The conversation explored whether recent policy decisions, including those surrounding data centers and digital assets, could influence his political standing over the next several years and whether the prediction markets may have been undervaluing that possibility. Rather than focusing on politics itself, the discussion centered on identifying situations where market pricing may not fully reflect future probabilities, reinforcing another example of how prediction markets continue evolving into an information source that resembles traditional financial markets.

The discussion illustrated how AI infrastructure has become as much a public policy issue as an economic one. Decisions surrounding data centers, digital assets, taxation, and development now require balancing technological progress with community concerns, creating both opportunities and uncertainty for investors following these long term trends.

12. Midjourney Medical, Preventative Healthcare, and AI-Driven Innovation

Another discussion centered on Midjourney Medical and its announcement of a new full-body imaging system that generated considerable interest throughout both the technology and medical communities.

Midjourney, best known as one of the leading AI image generation companies, unexpectedly introduced a medical division developing an ultrasound-based whole-body scanning platform known as “Fullbody Ultrasonic Computational Tomography” (”Ultrasonic CT”). Despite the “CT” branding, the system does not use X-rays or ionizing radiation. Instead, it combines ultrasound with computational imaging in an effort to dramatically reduce scanning times while avoiding many of the limitations associated with traditional MRI systems.

The discussion examined both the technological potential and the skepticism surrounding the announcement. According to company materials, the long-term design vision calls for a scanner containing roughly half a million ultrasonic elements capable of generating detailed three-dimensional images in approximately 60 seconds. The current first-generation prototype is considerably smaller, utilizing 40 Butterfly Ultrasound-on-Chip modules per system, with future generations expected to incorporate substantially more sensors as the technology evolves. Supporters argued that continued advances in sensor technology, semiconductor performance, and computational imaging could eventually make advanced preventative screening significantly more affordable and widely accessible.

An additional development worth noting is the scanner’s partnership with Butterfly Network (BFLY), whose ultrasound-on-chip technology serves as the foundation for the platform. Midjourney secured exclusive licensing rights through a multi-year agreement announced in late 2025, and Butterfly’s shares responded strongly following the medical division’s unveiling. The relationship also illustrates how major AI product announcements can create meaningful opportunities for suppliers and enabling technologies beyond the company making the initial announcement.

The company’s long-term vision also became part of the discussion. Midjourney described image quality as comparable to, and in some respects potentially superior to, traditional MRI systems, while outlining plans to launch through a San Francisco health spa featuring 10 scanners, with body composition mapping serving as the platform’s initial application before broader diagnostic capabilities and regulatory approvals are pursued over time. Online discussion surrounding the announcement also reflected skepticism from a number of medical professionals, who questioned whether the technology could realistically replace conventional MRI systems for more complex diagnostic imaging, noting that the platform remains an early-stage prototype without regulatory clearance and that many of its performance claims have yet to be independently validated through clinical studies.

The discussion also compared Midjourney’s approach with other companies pursuing preventative healthcare and longevity initiatives. Rather than replacing hospitals, these businesses may ultimately help create entirely new consumer markets centered on preventative screening, health optimization, and earlier disease detection.

Midjourney itself also became part of the conversation. Unlike many prominent AI startups, the company has remained entirely bootstrapped without venture capital funding. Questions were raised about whether maintaining that independence would remain feasible if the company ultimately attempts to scale a global medical imaging business requiring substantial manufacturing capacity, regulatory approvals, and infrastructure investment.

The conversation ultimately expanded into healthcare innovation more broadly. AI continues creating opportunities across drug discovery, diagnostics, medical imaging, workflow automation, and personalized medicine. Healthcare remains one of the world’s largest and least disrupted industries, making it an attractive area for long-term innovation despite the significant regulatory hurdles, development timelines, and capital requirements involved.

13. Lightning Round: Rare Earths, AI Infrastructure, Healthcare, and Long-Term Investment Themes

The final portion of the meeting moved into a wide-ranging lightning round that revisited several recurring investment themes while touching on a number of additional companies and sectors benefiting from the broader AI buildout.

One topic centered on USA Rare Earth (USAR), which emerged as an interesting speculative infrastructure play supporting long-term AI development. The company continues working toward establishing a vertically integrated mine-to-magnet domestic rare earth supply chain spanning mining, processing, and permanent magnet production. Rare earth materials remain essential inputs across semiconductors, robotics, defense systems, electric vehicles, and many advanced AI hardware applications. With China continuing to dominate global rare earth processing capacity, domestic production remains strategically important regardless of short-term market conditions. The discussion also highlighted vertical integration as a recurring investment theme, as companies controlling multiple stages of the value chain often possess stronger competitive advantages than businesses participating in only one segment.

Quantum computing also returned following additional federal support for the industry, including more than $2 billion in proposed incentives announced under the CHIPS and Science Act. The sector remains one of the most speculative areas discussed during recent meetings. While government investment and private sector research continue accelerating, meaningful commercial applications likely remain at least several years away. Established companies such as International Business Machines (IBM), the largest proposed recipient of the federal funding package, already possess significant research capabilities and diversified business models, whereas many smaller publicly traded quantum companies derive a much larger portion of their valuations from expectations surrounding future commercialization.

The conversation then shifted back toward several companies benefiting more directly from continued AI infrastructure spending. Micron Technology (MU) generated discussion ahead of its upcoming earnings release as one of the clearest beneficiaries of growing demand for high-bandwidth memory. Oracle (ORCL), Nebius Group (NBIS), Vertiv Holdings (VRT), and other infrastructure companies were also revisited as examples of businesses occupying critical positions beneath the application layer through networking, cooling, cloud infrastructure, and enterprise software.

Healthcare remained another recurring area of interest. Companies such as BrightSpring Health Services (BTSG), Hims & Hers Health (HIMS), and Veeva Systems (VEEV) generated discussion as examples of businesses positioned to benefit from demographic trends, healthcare digitization, and continued advances in AI-enabled healthcare.

The discussion also revisited Leopold Aschenbrenner’s framework regarding infrastructure bottlenecks. Rather than attempting to predict entirely new technological breakthroughs, greater emphasis was placed on identifying companies already occupying strategically important positions within existing AI infrastructure. Semiconductors, networking, memory, rare earths, cooling systems, cloud infrastructure, and other foundational technologies repeatedly emerged as areas where long-term demand appears most durable.

The lightning round reinforced one of the meeting’s recurring investment themes: some of the most compelling long-term opportunities may continue emerging one or two layers beneath the most visible AI companies. Suppliers, infrastructure providers, semiconductor manufacturers, vertically integrated businesses, healthcare innovators, and companies controlling critical bottlenecks across expanding technology ecosystems consistently surfaced as areas worthy of continued research.

Closing Thoughts

The June 22 meeting reinforced how rapidly today’s investment landscape continues evolving and how many of the world’s largest investment themes have become deeply interconnected.

Artificial intelligence remained the common thread throughout much of the evening, but the discussion extended far beyond AI models themselves. Whether examining hyperscaler spending, semiconductors, rare earth supply chains, data centers, healthcare innovation, commercial space, autonomous investing, wearable computing, or quantum research, the conversation repeatedly returned to the physical infrastructure, capital investment, and strategic industries making the next generation of technological progress possible. As AI continues moving from software into the physical economy, ownership of the underlying infrastructure may ultimately become just as important as ownership of the applications built on top of it.

Another recurring theme was that markets continue pricing future expectations more than present conditions. That principle surfaced repeatedly throughout the meeting, from geopolitical developments in the Middle East and changing Federal Reserve policy expectations to SpaceX’s public debut, AI infrastructure spending, and evolving prediction markets. Understanding where expectations may differ from reality remains one of the most important challenges and opportunities for long-term investors.

The discussion also highlighted how incentives continue shaping market outcomes at every level. Financing decisions influenced speculative biotechnology companies, government policy affected semiconductor exports and AI deployment, state legislation altered data center development and digital asset businesses, while evolving regulations continued reshaping both financial markets and emerging technologies. Investment success requires understanding not only businesses themselves, but also the incentives influencing management teams, policymakers, regulators, and market participants.

Several conversations also reinforced the importance of looking beyond the most visible companies. While many investors naturally focus on headline names, some of the most compelling opportunities may continue emerging among the suppliers, infrastructure providers, vertically integrated businesses, enabling technologies, and critical bottlenecks supporting much larger secular trends. Throughout the evening, those second-order opportunities consistently surfaced across artificial intelligence, semiconductors, healthcare, commercial space, and advanced manufacturing.

Perhaps the broadest takeaway from the meeting was that investing now spans far more disciplines than it once did. Technology, economics, geopolitics, engineering, healthcare, public policy, finance, and market psychology now overlap far more than they once did. Understanding how those systems influence one another provides a broader framework for evaluating both risks and opportunities as industries continue evolving.

As always, our objective remains the same: to challenge assumptions, share research, examine emerging trends from multiple perspectives, and continue improving our understanding of a rapidly evolving investment landscape.

The livestream recording has been posted on YouTube (

), and members are encouraged to revisit any portions of the discussion they may have missed.

We look forward to reconvening for our next Investing Group meeting on Monday, July 6, 2026, at the Union League Club of Chicago, where we will continue following these rapidly evolving developments and exploring the investment opportunities they may create.

Attendance and Acknowledgements

A sincere thank you to everyone who attended and contributed to another outstanding discussion.

Attending members (listed alphabetically by last name):

Diana Ascencio (media)

Omar Pathan

Toby Chan

Mario Sanchez (videography, media)

Seamus Cullinan

Eric Simpson (founder, moderation, summary, attendance)

Mohammed Haq (recording, transcription, attendance)

Sneha Shrivastav

John Hockberger (founder, media)

Moses Shriem

Brian Jung

Raza Siddiqui

Asel Kahveci

Jaime Wesley

Suryansh Khatikar

Ryan Zhao (AI systems)

Yao Luo

Jose Zuniga

Mohammed Muqeet (recording, transcription, media)

Caleb Valdovinos

Legal Disclaimer

Nothing discussed during this meeting or contained within this summary constitutes financial advice or a recommendation to buy or sell any security. All discussion is intended solely for educational and informational purposes. Members should conduct their own research and consult appropriate financial professionals before making investment decisions.

Economic activity proved more resilient at the start of the year than initially projected, with the annualized rate of real GDP growth for Q1 revised up to 2.1%. Flash PMI survey data from S&P Global point to continued resilience in Q2, with U.S. business activity expanding for a third consecutive month in June. The expansion was driven primarily by the manufacturing sector and supported by precautionary inventory accumulation in anticipation of future supply chain disruptions and input cost pressures tied to the U.S.-Israel-Iran war. The service sector posted a more modest gain, with higher input and borrowing costs and subdued business and consumer confidence flagged as headwinds.

Consumer sentiment, as measured by the University of Michigan Consumer Sentiment Index, remains near historic lows but improved in June relative to the prior month, helped by the signing of the U.S.-Iran MOU and falling gasoline prices. Even so, the cost of living remains at the forefront of public consciousness, with most consumers reporting that higher prices are weighing on their personal finances. Inflation, as measured by the Personal Consumption Expenditures (PCE) price index, climbed from 3.8% in April to a three-year high of 4.1% in May, while core inflation—which excludes volatile food and energy prices—rose to 3.4%, well above the Federal Reserve’s 2% target. Fallout from the Middle East conflict, tariffs, the AI boom, and resilient consumer demand continue to place upward pressure on structural inflation.

Inflation-adjusted consumer spending rebounded in May after a weak April, beating expectations even as low confidence and higher inflation weighed on real income growth, purchasing power, and the savings rate. That spending remains deeply bifurcated, however. Consumption is being heavily sustained by higher-income households, while middle- and lower-income families face intense pressure from the rising cost of essentials and, for the latter, recent cuts to social benefits.

Week ahead for economic data: This week’s release calendar will be compressed by the Independence Day holiday, with labor market data for May and June taking center stage. Tuesday brings the latest Job Openings and Labor Turnover Survey (JOLTS), offering a look at the internal dynamics of the labor market in May, followed by Thursday’s Employment Situation Report—the “jobs report”—for June, with crucial detail on job growth, wage growth, and the unemployment rate. Also on the calendar are Tuesday’s Conference Board Consumer Confidence Index for June, providing another read on consumer sentiment, and Wednesday’s ISM Manufacturing PMI, which will reveal whether input costs and supply chain bottlenecks continue to pose upside risks to prices.

This report is authored by Saied Toossi, an independent contributor and collaborator of The Investing Group. The views, analysis, and opinions expressed are solely those of the author and do not necessarily reflect, and may at times differ from or contrast with, the positions of The Investing Group, its founders, or its members. Collaborator content is shared to offer a range of independent perspectives. Nothing herein is financial advice or a recommendation to buy or sell any security. All content is for educational and informational purposes only.

As expected, the FOMC voted to maintain the target range for the federal funds rate while delivering a hawkish tilt. The accompanying Summary of Economic Projections, which lays out where committee members see the economy heading, revealed that half now expect explicit interest rate hikes later this year, reflecting a view that inflation, not the labor market, is the primary challenge. Notably, Chair Warsh curtailed traditional forward guidance that markets have come to rely on for anticipating future rate decisions.

Overall industrial production ticked up on a month-over-month basis in May for a second consecutive month, albeit below expectations. Growth in manufacturing production, the largest subcomponent, was flat, with broad-based gains in durables production offset by a decline in nondurables manufacturing. This contrasts with the ISM manufacturing Purchasing Managers’ Index (PMI), which suggests that the manufacturing sector is expanding, but also flags a rise in input costs, supply chain disruptions, and inventory buildups that could translate into price increases for consumers. Jobless claims, on the other hand, continued to point to a labor market that has stabilized with businesses slow to hire, but also slow to fire.

Week ahead for economic data: Tuesday’s S&P Global PMI data will provide another read of the manufacturing and services sectors. The week’s marquee release will be Thursday’s Personal Consumption Expenditures (PCE) data, providing insights on consumer spending and the Federal Reserve’s preferred measure of inflation, the core PCE price index. This measure strips out volatile energy and food prices to provide a clearer read of underlying inflation trends. A pickup in core inflation would solidify expectations for an upcoming rate hike. Closing out the week will be Friday’s release of University of Michigan consumer survey data, which will provide a look at consumer sentiment and inflation expectations.

This report is authored by Saied Toossi, an independent contributor and collaborator of The Investing Group. The views, analysis, and opinions expressed are solely those of the author and do not necessarily reflect, and may at times differ from or contrast with, the positions of The Investing Group, its founders, or its members. Collaborator content is shared to offer a range of independent perspectives. Nothing herein is financial advice or a recommendation to buy or sell any security. All content is for educational and informational purposes only.

The meeting continued the open discussion format that has become the defining characteristic of the group. Conversation moved naturally across market structure, AI infrastructure, semiconductors, space, robotics, healthcare, crypto, real estate, energy, and several emerging speculative themes.

Several recurring themes connected nearly every topic discussed throughout the evening. The first was that infrastructure matters more than applications. The second was that scarcity continues to drive value, whether the scarce asset is compute, power, land, semiconductors, data, distribution, or public float. The third was that markets continue moving toward greater speculation, faster information flow, and increasingly reflexive behavior.

Here is the recap.

1. Chinese Micro-Cap Mania

The meeting opened with one of the most extreme examples of speculative market behavior discussed in any recent session.

Attention centered on Inno Holdings (INHD), a Hong Kong-linked electronics and used-phone micro-cap company that surged approximately 3,660% in a single trading session on June 8, rising from a prior close of roughly $1.05 to close at $39.49. During the session, the stock traded above $60 and experienced repeated volatility halts, illustrating the extraordinary degree of speculation and price dislocation that can emerge in low-float securities.

The catalyst for the move was a recently announced $3 million Development Services Agreement with an undisclosed Hong Kong-based AI provider to build an AI sales-agent system for the company’s used-phone business. The announcement centered on the adoption of AI tools within the company’s existing business, yet it sparked one of the most dramatic speculative moves seen in the market this year.

The conversation focused on how these moves increasingly resemble financial engineering exercises rather than business developments. Many micro-cap companies continue using U.S. exchanges as capital-raising vehicles, often combining low floats, promotional narratives, reverse splits, at-the-market equity programs, and speculative themes to generate extraordinary price volatility.

INHD itself provided a useful case study. The company had completed two reverse splits within the previous six months to maintain Nasdaq listing compliance and recently announced a sizable at-the-market equity facility. Sudden increases in market capitalization can dramatically expand future financing flexibility, creating incentives that may not always align with long-term business fundamentals.

Nasdaq subsequently halted trading after the close under a T12 code pending the release of additional information. With the stock frozen at the halt price, short sellers remained exposed to ongoing borrow costs while having limited ability to actively manage positions until trading resumed. The halt served as another example of how liquidity constraints, float dynamics, and market mechanics can sometimes become as important as the underlying business itself.

The group also discussed how the recent elimination of the Pattern Day Trader designation and associated $25,000 minimum equity requirement may be contributing to increased speculative activity. While it remains far too early to establish a direct connection, easier access to active trading could further amplify volatility in already thinly traded securities.

A broader takeaway emerged that market structure itself is becoming a larger driver of price action. In certain corners of the market, float dynamics, liquidity constraints, retail participation, short positioning, borrow costs, and trader behavior appear capable of overwhelming traditional fundamental analysis for extended periods of time. The INHD episode served as a vivid illustration of how market mechanics can sometimes become the primary story.

2. Iran, Oil Markets, and Demand Destruction

The group revisited the conflict involving the United States, Israel, and Iran and its implications for global energy markets.

A significant portion of the discussion focused on the sharp reaction in crude oil following the escalation of hostilities and the disruption of shipping through the Strait of Hormuz. Oil prices briefly moved into triple-digit territory as investors weighed the possibility of prolonged supply disruptions across one of the world’s most important energy corridors.

The conversation also examined the performance of broader financial markets during the conflict. Discussion focused on investor expectations, economic growth, corporate earnings, and the factors shaping market behavior during periods of geopolitical uncertainty.

The group examined the concept of demand destruction and the long-term outlook for global oil consumption. Rising electric vehicle adoption, continued improvements in fuel efficiency, expanding renewable energy capacity, and broader technological changes were cited as factors that could place pressure on future demand growth over time. The discussion explored how these trends may influence the long-term trajectory of energy markets and the outlook for future oil demand.

Discussion also touched on how higher energy prices can create benefits for certain segments of the U.S. energy industry by increasing the value of domestic production, while additional production from major exporting nations may help moderate prices as supply conditions evolve.

The conversation concluded with observations about the importance of critical energy infrastructure, global supply routes, geopolitical risk, and the wide range of factors that continue to shape energy markets and investor expectations.

3. Anthropic, Recursive Self-Improvement, and the Future of AI

A significant portion of the evening focused on Anthropic’s recent paper, “When AI Builds Itself” (https://www.anthropic.com/institute/recursive-self-improvement), and what it may imply for the future trajectory of artificial intelligence.

The paper examines whether AI systems may be approaching a stage where they can contribute to improving future generations of AI models, potentially accelerating development cycles beyond traditional human-led progress. Anthropic noted that recursive self-improvement is not inevitable and that current systems have not yet reached that threshold, but presented evidence suggesting that AI-assisted development is already playing a meaningful role within leading AI labs.

Particular attention was paid to Anthropic’s internal data showing that AI systems now contribute a substantial share of the code used to build and improve future models, alongside major gains in engineering productivity. The findings were viewed by some attendees as broadly consistent with themes previously outlined by Leopold Aschenbrenner regarding AI scaling and the possibility of faster development cycles in the years ahead. At the same time, Anthropic framed the paper primarily through the lens of safety, governance, and the potential need for industry coordination if self-improving systems become a reality.

The conversation frequently returned to the relationship between AI progress, semiconductor demand, and energy infrastructure. Members noted that even modest advances in AI capabilities could translate into significantly greater demand for compute resources, semiconductors, data centers, and power generation. While the paper itself focused on potential recursive self-improvement scenarios, many viewed the infrastructure implications as one of the most important investment takeaways.

The group also explored how more capable AI systems may affect software development, cybersecurity, scientific research, and economic productivity. While opinions differed on the pace of adoption, there was broad agreement that ownership of productive assets, infrastructure, and intellectual property could become more important if AI automates a larger share of knowledge work.

Additional attention was given to Anthropic’s restricted Mythos model and the cybersecurity implications of advanced AI systems. Members examined how these tools could enhance software development and research while also expanding the ability to identify vulnerabilities, highlighting both the opportunities and challenges associated with continued advances in AI capability.

4. Compute Scarcity, Jevons Paradox, and AI Infrastructure

Compute scarcity remained one of the dominant themes of the evening.

The discussion explored recent innovations that significantly reduce memory requirements and improve model efficiency. Some viewed these advances through the lens of Jevons Paradox, the economic observation that greater efficiency often leads to higher overall consumption rather than lower demand.

Declining token costs, improved model performance, and more efficient architectures were cited as examples. While the cost of generating AI outputs has fallen dramatically in recent years, overall AI spending and usage have continued to rise as lower costs enable larger workloads, broader adoption, and new categories of applications. Attention was also given to the growing role of agentic systems, which can consume substantially more compute than traditional chatbot interactions.

The conversation expanded into power generation, GPU manufacturing, data center construction, networking infrastructure, semiconductor production, and the rapid buildout of AI capacity across the industry. Recent advances in memory efficiency and model optimization were viewed as important developments, but many felt they were accelerating demand for infrastructure rather than reducing it.

Particular attention was given to power as one of the most important constraints facing the industry. Discussion focused on grid capacity, transmission infrastructure, transformer shortages, and the growing interest in dedicated power solutions ranging from natural gas generation to nuclear energy. Several large technology companies have already announced major investments and partnerships aimed at securing long-term power supplies for future AI deployments.

A recurring theme throughout the discussion was that AI remains constrained less by software than by infrastructure. Compute capacity, power generation, networking, cooling systems, semiconductor manufacturing, and grid connectivity continue to play a central role in determining how quickly AI capabilities can scale.

5. NASA Moon Base Missions and Orbital Infrastructure

The group reviewed NASA’s recent Moon Base announcement, which outlined plans to establish a sustained long-term presence on the lunar surface. The announcement offered a more detailed look at NASA’s roadmap for lunar infrastructure development and the broader effort to expand human activity beyond Earth.

Discussion focused on NASA’s phased roadmap, which begins with robotic missions, cargo deliveries, and surface operations before progressing toward a permanent base near the Moon’s south pole. Particular attention was given to the strategic importance of the region due to its large deposits of water ice, which could support future habitation, fuel production, and resource utilization. NASA has already committed roughly $1 billion in initial contracts across several commercial partners, including Blue Origin’s Blue Moon cargo lander program, Astrobotic’s Griffin lunar lander, and lunar terrain vehicle contracts awarded to AstroLab and Lunar Outpost. NASA’s first Moon Base mission is currently targeted for no earlier than fall 2026, with the broader program extending through the early 2030s. The surface base itself is expected to carry an estimated cost of roughly $20 billion.

Discussion connected these developments to the larger evolution of space infrastructure and the gradual expansion of commercial and industrial activity beyond Earth. The conversation covered satellite manufacturing, lunar launch and lander systems, orbital logistics, and the broader challenge of building self-sustaining infrastructure away from Earth. Additional context surrounding the Moon Base program highlighted the importance of long-term energy generation and resource utilization as key components of any permanent lunar presence.

The group viewed these efforts as early building blocks for a broader space economy. As with many large-scale infrastructure projects, attention was given to how foundational systems often require years of investment and development before their economic significance becomes fully apparent.

The broader takeaway was that lunar infrastructure has moved beyond a purely conceptual stage, with funding commitments, defined hardware programs, and mission timelines now in place. Execution remains the primary challenge, particularly given the large number of launches and coordinated missions required over the coming decade, but the program was viewed as a meaningful step toward the long-term development of space-based infrastructure and industry.

6. SpaceX, the Commercial Space Ecosystem, and the IPO Opportunity

SpaceX dominated a significant portion of the meeting.

The conversation centered on valuation, float dynamics, index inclusion, retail participation, and long-term business prospects ahead of the company’s anticipated IPO. A key reference point was recent valuation work by NYU finance professor Aswath Damodaran, who is well known for his valuation analysis and investing blog. Damodaran had recently published a series of analyses valuing SpaceX at approximately $1.2 trillion to $1.3 trillion, providing a framework for much of the discussion. The conversation also examined the possibility of an “Elon premium” above traditional valuation models, reflecting the market’s willingness to assign higher multiples to companies associated with Elon Musk’s track record of building category-defining businesses. Reference was made to Tesla (TSLA), where Damodaran’s valuation work often proved more conservative than the market’s eventual assessment of the company’s long-term growth prospects. The group also reviewed Polymarket prediction markets tied to SpaceX’s anticipated public debut, which assigned varying probabilities to valuation tiers ranging from roughly $2.0 trillion to $3.0 trillion. The $2.4 trillion level emerged as one of several frequently discussed scenarios for the company’s valuation shortly after public trading began.

Another theme was the extent to which SpaceX now sits at the intersection of aerospace, communications, and AI infrastructure. Discussion referenced the company’s merger with xAI and major compute agreements involving Anthropic and Alphabet (GOOGL). The conversation also highlighted SpaceX’s Colossus data center infrastructure in Memphis, which had emerged as one of the largest AI computing facilities in the world. The broader view was that SpaceX’s long-term opportunity may extend beyond launch services, satellites, and communications into the rapidly expanding market for AI compute and infrastructure.

Discussion also focused on the company’s expected public float structure. With only a limited percentage of shares anticipated to trade publicly and lockup restrictions potentially constraining additional supply, many viewed the offering as having the potential to become one of the most volatile large-cap IPOs ever brought to market. The conversation repeatedly returned to a simple supply-and-demand framework: substantial investor interest combined with a limited supply of available shares could create significant price volatility.

The discussion also expanded beyond SpaceX itself and into companies that may benefit indirectly from its success. Rocket Lab (RKLB) received attention as a potential sympathy trade. While considerably smaller than SpaceX, the company operates within many of the same commercial space markets and could benefit from renewed investor interest in the sector. The speculative nature of many publicly traded space companies was also discussed. Rocket Lab’s long-term valuation remains heavily dependent on the successful development and commercialization of its medium-lift Neutron rocket, which had not yet entered operational service and would likely face the normal testing, development, and execution risks associated with new launch systems. Planet Labs (PL) was also discussed because of its satellite imaging capabilities and growing role in space-based data collection, though the company remains relatively early in its commercial development. More broadly, the conversation noted that many publicly traded space companies continue to trade at elevated revenue multiples that assume substantial future growth and execution, leaving the sector highly speculative despite the attractive long-term opportunities.

A recurring theme was the value of second-order thinking. Rather than focusing exclusively on SpaceX, the conversation examined how suppliers, partners, infrastructure providers, and adjacent businesses may also benefit as commercial space activity continues to expand. The broader takeaway was that major technological shifts often create opportunities throughout an ecosystem, not solely within the headline company driving the narrative.

7. Drone Companies, Defense Technology, and Government Investment

The group also discussed reports that the U.S. government is exploring a mix of debt and equity financing for select domestic drone companies as part of a broader effort to expand production capacity and reduce reliance on Chinese-made components.

The conversation touched on companies across the sector, including AeroVironment (AVAV), Unusual Machines (UMAC), Red Cat Holdings (RCAT), Kratos Defense & Security Solutions (KTOS), and Ondas Holdings (ONDS). Discussion also covered the sharp market reaction following the reports, with several drone-related stocks posting double-digit gains as investors speculated on which companies could ultimately receive government support.

The topic highlighted the growing convergence of defense, AI, autonomy, robotics, aerospace, and advanced communications systems. Modern military capabilities now rely heavily on software, autonomous platforms, sensor networks, communications infrastructure, and AI-assisted decision making.

The group also referenced Anduril as an example of a venture-backed defense technology company that has emerged as a significant competitor alongside traditional defense contractors. More broadly, the conversation noted how the U.S. government has already used direct investment and financing programs in strategic industries such as rare earth materials and semiconductor manufacturing, raising the possibility that similar approaches could become more common within defense technology.

The broader takeaway was that defense technology is becoming a much more software and AI-driven industry than in previous decades, with capital, innovation, and government support flowing toward autonomous systems and next-generation military technologies.

8. Robinhood AI Agents and the Automation of Retail Investing

Robinhood (HOOD) generated substantial discussion following its launch of Agentic Trading and a companion Agentic Credit Card, which allow AI agents to execute trades and make purchases on behalf of users. The group examined whether AI-assisted investing will improve outcomes for retail investors, how it fits within the evolution of algorithmic investing, and the risks associated with delegating financial decisions to systems that many users may not fully understand.

The structure of the rollout drew interest. Robinhood is providing the infrastructure that connects third-party AI agents to customer accounts through its platform, leaving the investment models themselves to outside developers. To limit risk, agent activity takes place through separate funded accounts isolated from a user’s primary portfolio, users receive notifications of trades, agents preview orders before execution, and connections can be terminated instantly. Robinhood’s disclosures also make clear that responsibility for investment decisions remains with the user rather than the platform.

The conversation highlighted how financial services are becoming more software-driven. Robinhood’s use of Model Context Protocol infrastructure was viewed as another example of platforms positioning themselves as the operating layer through which AI systems interact with financial markets. The initial rollout focused on stocks and ETFs, with additional asset classes expected over time.

The discussion also focused on how rapidly markets are becoming automated. As AI tools assume a larger role in investment decisions, questions remain around transparency, accountability, risk management, and the extent to which investors should rely on automated systems. The group also discussed whether wider adoption of AI-assisted trading could elevate the importance of infrastructure, execution quality, and data advantages across financial markets.

Investing continues moving toward a technology-platform model, with software, automation, and algorithms playing a larger role in how capital is allocated and investment decisions are made.

9. Meta, Subscriptions, and Alternative Revenue Models

Meta Platforms (META) was discussed following the company’s expansion of subscription offerings across Instagram, Facebook, and WhatsApp, including the recent rollout of its Meta One subscription platform and premium AI-related tiers.

The conversation explored whether consumers will ultimately pay for social media and AI-enhanced subscription services at meaningful scale or whether advertising will continue to dominate Meta’s business model. While subscription products may create additional revenue opportunities, Meta’s advertising business remains the company’s primary economic engine, generating the overwhelming majority of total revenue.

The discussion also touched on the broader push among technology companies to develop revenue streams beyond advertising while simultaneously committing substantial capital toward AI infrastructure, data centers, and next-generation computing capacity. Meta’s planned AI spending was viewed as another example of the industry’s accelerating investment in artificial intelligence.

Meta’s global network of users, extensive data assets, and ownership of some of the world’s largest consumer platforms were viewed as significant advantages as AI capabilities continue advancing. The company’s ability to deploy new products across billions of users gives it a scale few competitors can match.

The conversation concluded that large technology platforms with extensive user networks, proprietary data, and direct customer relationships may be well positioned to benefit from the continued development and commercialization of AI technologies, even if the long-term contribution from subscription products remains uncertain.

10. Nebius, Cerebras, Marvell, and AI Infrastructure Winners

A large portion of the lightning round focused on potential AI infrastructure beneficiaries.

Nebius Group (NBIS) generated significant interest following the late-May disclosure that it had become the largest equity position in Leopold Aschenbrenner’s Situational Awareness fund. The position, which represented a 5.6% ownership stake in Nebius, was viewed as a strong vote of confidence in the company’s role as a provider of AI cloud and compute infrastructure. The discussion also touched on Nebius’ rapid growth, with revenue rising more than sixfold year over year as demand for AI capacity continues to expand.

Cerebras Systems (CBRS) was discussed following its recent public debut and strong entrance into the public markets. The company has attracted interest through its wafer-scale chip architecture and AI systems designed as an alternative to traditional GPU-based approaches. Its growing adoption across AI training and inference workloads was viewed as another example of how the industry continues to support multiple hardware architectures beyond the dominant incumbents.

Marvell Technology (MRVL) was highlighted as a key infrastructure provider through its work in silicon photonics, custom silicon, networking, and connectivity solutions. As AI clusters continue growing in size and complexity, the ability to move data efficiently between chips, servers, and data centers remains a critical part of the technology stack.

The common theme across all three companies was infrastructure. Rather than competing directly at the model layer, they occupy important positions within the AI supply chain and benefit from the ongoing buildout of compute capacity. The conversation reinforced a recurring theme from previous meetings: some of the largest AI beneficiaries may ultimately be the companies providing the hardware, networking, and cloud infrastructure that enable the entire ecosystem to function.

11. Bitcoin, Crypto Treasuries, and Monetary Systems

Bitcoin returned as a topic after its decline into the low $60,000s, a sharp pullback from the record highs reached during the previous cycle.

The conversation examined the outlook for Bitcoin, Strategy (MSTR), and a growing group of crypto treasury companies that have adopted variations of the Bitcoin accumulation model.

One area of focus involved debt structures and future refinancing risks. Strategy’s use of convertible debt served as a key example. While the company has successfully financed large Bitcoin purchases through capital markets, questions centered on how these structures may perform if Bitcoin prices remain weak for an extended period or if future refinancing occurs under less favorable conditions. The discussion also touched on the importance of maintaining a premium valuation to net asset value, which has historically supported the model’s ability to raise additional capital.

Recent developments added another layer to the conversation. Strategy’s willingness to consider limited Bitcoin sales marked a notable shift from its long-standing position of never selling its holdings, highlighting how treasury strategies may evolve as balance sheets and capital structures become more complex.

The group also revisited Bitcoin’s original purpose as an alternative monetary system and whether growing institutional ownership has altered its role within financial markets. Some viewed Bitcoin as behaving more like a risk asset than it did in earlier years, while others continued to see it as one of the most compelling long-term stores of value available to investors.

The conversation concluded with the observation that Bitcoin continues to occupy a unique position between speculative asset, monetary alternative, and emerging financial infrastructure. As public companies, institutional investors, and treasury vehicles expand their involvement, the debate over which of those roles will ultimately define Bitcoin remains unresolved.

12. The Chicago Bears, Hammond, Indiana, and Local Development

The group discussed the Chicago Bears’ stadium plans following the team’s recent board vote to advance development efforts in Hammond, Indiana. The decision marked the first formal board vote on any proposed stadium site and came after Illinois lawmakers failed to approve a stadium financing package, while Indiana moved forward with legislation that could support the project through a combination of development district and tourism-related tax revenues. Reports that Indiana could provide incentives approaching $1 billion, alongside roughly $2 billion of planned investment from the Bears themselves, helped frame the scale of the opportunity being considered.

The conversation examined infrastructure requirements, transportation challenges, political considerations, and real estate implications associated with a project of that magnitude. Questions centered on whether Hammond currently possesses the roads, transit connections, surrounding commercial development, and broader infrastructure necessary to support an NFL stadium and the activity that would accompany it. Some expressed skepticism that the area could accommodate a project of this scale without substantial additional investment and long-term planning.

Discussion also returned to Arlington Heights, where the Bears own approximately 326 acres acquired in 2021. While Hammond now appears to be the organization’s primary focus, Arlington Heights remained relevant given the team’s existing land ownership, prior planning efforts, and the significant resources already committed to the site. The contrast between the two locations highlighted the tradeoffs between established development plans and the incentives being offered to attract major projects.

The conversation reinforced how large-scale real estate developments are often shaped by infrastructure, public incentives, regulatory considerations, and political realities alongside the underlying economics of the project. The Bears’ stadium search served as a useful example of how location decisions for major developments can evolve as financing opportunities and government support change over time.

13. Data Centers, Land Scarcity, and Community Pushback

The Virginia data center land-buyout story generated one of the more interesting conversations of the evening.

The group examined a situation in Ashburn, Virginia, where homeowners in a 143-home subdivision have explored negotiating collectively with data center developers in an effort to maximize the value of their properties. Reports surrounding the proposal have suggested a potential transaction exceeding $500 million, implying average proceeds of roughly $4 million per home, about four to five times higher than typical residential values in the neighborhood. The story highlighted how the rapid expansion of AI infrastructure can dramatically alter land values in areas located near major data center hubs.

The conversation highlighted the tension emerging between AI infrastructure development and local community concerns. While data centers bring substantial tax revenue and economic activity, nearby residents often raise concerns related to noise, power usage, water consumption, visual impact, and changes to neighborhood character. The Virginia example also underscored the practical challenges involved, including zoning approvals and the difficulty of securing agreement among large groups of property owners.

The discussion expanded to the physical constraints shaping the next phase of AI infrastructure buildout. Land availability, power generation, grid capacity, and permitting were viewed as important considerations as facilities continue to grow in scale. The group noted that some proposed developments around the country have faced significant opposition, with community organizations helping delay or block billions of dollars of planned projects.

The conversation also touched on potential long-term solutions, including dedicated power generation, remote data center construction near stranded energy resources, local hosting, and orbital computing infrastructure. While concepts such as space-based data centers remain early-stage, they reflect the search for alternatives as demand for compute, power, and suitable development sites continues to expand.

A recurring theme throughout the discussion was that AI infrastructure now resembles traditional industrial development in many respects. Access to land, power, permitting, and community support may prove just as important as advances in chips and software when determining where future capacity can be built.

14. Healthcare, Robotics, and the Next Wave

The meeting concluded with discussion around healthcare, robotics, and future innovation themes.

Intuitive Surgical (ISRG) was highlighted as one of the strongest examples of a company possessing a durable data moat. The value of the vast amount of procedural data generated through the company’s robotic surgery platform was noted as a potential advantage as AI becomes more integrated into healthcare. For context, Intuitive has deployed more than 12,000 robotic surgical systems worldwide and has facilitated over 20 million cumulative procedures, providing a scale of real-world surgical data that few competitors can match. The company’s continued investment in next-generation robotic systems and software capabilities further reinforced the view that data, workflow integration, and clinical experience may prove as important as the hardware itself.

The discussion also touched on Eli Lilly (LLY), medical device companies, healthcare optimization trends, and future drug discovery. Interest centered on how AI may accelerate pharmaceutical research and development, improve operational efficiency across healthcare systems, and support more personalized approaches to treatment. Eli Lilly’s growing investment in AI-enabled drug discovery and research partnerships was cited as one example of how large healthcare companies are beginning to incorporate AI into core business operations.

Robotics generated significant interest as well. The conversation focused on the idea that AI’s long-term impact may extend beyond software into physical-world systems through industrial robots, humanoid robots, logistics networks, autonomous machines, and broader automation platforms. Recent advances in model capabilities, falling hardware costs, and early commercial deployments were viewed as signs that physical AI is beginning to move from concept toward real-world implementation.

The group also noted that many of the most closely watched humanoid robotics companies remain private, leaving public market investors with more indirect exposure through infrastructure providers, semiconductor companies, component suppliers, and automation-focused businesses. The dynamic was compared to other emerging technology sectors where much of the value creation initially occurs in private markets before broader public participation becomes available.

The takeaway was that robotics remains one of the most compelling long-term themes adjacent to AI, with future adoption likely shaped by continued progress in hardware, energy availability, economics, and real-world reliability.

Closing Thoughts

The June 8 meeting reinforced several themes that surfaced repeatedly across otherwise very different discussions.

The first was that scarcity continues to create value. Whether the scarce asset is compute, power, semiconductors, land, data, distribution, public float, launch capacity, or skilled labor, many of the most attractive opportunities discussed throughout the evening were tied to assets that remain difficult to replicate. Across AI infrastructure, data centers, energy systems, healthcare, robotics, space, and financial markets, bottlenecks repeatedly emerged as some of the most important drivers of long-term value creation.

AI remained the connective thread linking much of the conversation. Topics ranged from Anthropic’s work on recursive self-improvement and the implications of increasingly capable models to compute scarcity, power generation, cloud infrastructure, robotics, healthcare, autonomous systems, and orbital computing. A recurring observation was that AI is evolving beyond a software story and increasingly resembles a large-scale industrial buildout requiring enormous investments in physical infrastructure, energy, manufacturing, networking, and data.

SpaceX reflected many of these themes simultaneously. Discussion touched on launch systems, satellites, AI infrastructure, data centers, communications networks, robotics, and one of the most anticipated IPOs in modern market history. More broadly, the conversation highlighted how major technological shifts often create opportunities not only for the headline companies but also for the suppliers, infrastructure providers, component manufacturers, and ecosystem participants supporting them.

Another theme was the growing importance of market structure itself. Chinese micro-cap volatility, prediction markets, AI trading agents, crypto treasury companies, and tightly controlled IPO floats all illustrated how liquidity, positioning, incentives, and investor behavior can sometimes drive outcomes as much as underlying fundamentals. Understanding how markets function may be becoming just as important as understanding the businesses operating within them.

The discussion also reinforced the value of second-order thinking. The most obvious beneficiaries of a trend often receive the majority of investor attention, but many of the opportunities explored throughout the evening existed one or two layers deeper in the value chain. Infrastructure providers, data owners, semiconductor manufacturers, networking companies, power suppliers, automation platforms, and enabling technologies frequently emerged as some of the most interesting ways to gain exposure to broader secular trends.

Taken together, the evening’s discussions pointed toward a common conclusion: many of the defining investment opportunities of the coming decade may be found not only in the technologies attracting the most attention, but in the systems, infrastructure, and supporting ecosystems that make those technologies possible.

We look forward to reconvening at the next meeting of The Investing Group at the Union League Club of Chicago on June 22, 2026.

Attendance and Acknowledgements

A sincere thank you to the following members who attended and contributed to the discussion.

Attending members (listed alphabetically by last name):

Afeef Akhtar

Mohammed Muqueet (recording, transcription, media)

Diana Ascencio (media)

Al Pakrosnis (AI systems)

Quinn Basta (recording, transcription, photography)

Irem Pamuksuz

Mac Cooley

Roberto Salgado

Seamus Cullinan

Victor Sanchez (founder, media)

Connor Darrow

Justin Shea

Annais Gangolf

Sneha Shrivastav

Mohammed Haq (recording, transcription, attendance)

Eric Simpson (founder, moderation, summary)

John Hockberger (founder, media)

Mario Sanchez (videography, media)

Brian Jung

Jordan Wilson

Legal Disclaimer

Nothing discussed in this group or in this summary is financial advice or a recommendation to buy or sell any security. All discussion is for educational and informational purposes only.

This report is authored by Saied Toossi, an independent contributor and collaborator of The Investing Group. The views, analysis, and opinions expressed are solely those of the author and do not necessarily reflect, and may at times differ from or contrast with, the positions of The Investing Group, its founders, or its members. Collaborator content is shared to offer a range of independent perspectives. Nothing herein is financial advice or a recommendation to buy or sell any security. All content is for educational and informational purposes only.

The meeting continued the open discussion format that defines the group. Conversation moved naturally across geopolitics, AI infrastructure, semiconductors, private investing, healthcare, autonomous systems, market structure, space infrastructure, rare earths, software, and several emerging speculative themes.

A major theme throughout the evening was the increasing overlap between technology, infrastructure, politics, and capital markets. Across nearly every topic, the discussion returned to the same underlying question: who controls the bottlenecks that future growth depends on.

Here is the recap.

1. Iran and the Shifting Geopolitical Landscape

The meeting opened with discussion surrounding Iran and the ongoing ceasefire negotiations.

The group revisited the Iran war that began in late February and dominated markets for much of the spring. The conflict pushed oil prices above $120 per barrel at its peak, generated significant volatility across global markets, and culminated in the death of Iranian Supreme Leader Ayatollah Ali Khamenei during joint U.S. and Israeli military operations. While a Pakistan-mediated ceasefire has remained in place since early April, participants noted that the agreement has been repeatedly tested and extended as negotiators continue working toward a broader framework.

Discussion centered on reports suggesting the United States and Iran were moving closer toward a new agreement that would extend the ceasefire and potentially reopen broader nuclear negotiations. Several major sticking points remain unresolved, particularly surrounding Iran’s uranium stockpiles, domestic enrichment rights, missile production capabilities, and future nuclear restrictions. Despite those uncertainties, the group generally agreed that markets had largely priced in eventual de-escalation, as reflected by the sharp decline in oil prices from their wartime highs and the continued resilience of global equity markets.

The broader takeaway was that markets increasingly appear focused on the duration of disruptions rather than the existence of conflict itself. As long as investors continue expecting a pathway toward normalization, geopolitical shocks may generate volatility without necessarily altering the longer-term trajectory of risk assets.

2. Trump’s China Trip, Taiwan, NVIDIA (NVDA), and the Future of AI Competition

One of the most discussed topics of the evening was President Trump’s recent visit to China and the implications for technology competition, trade relations, and global diplomacy.

The group examined China’s increasingly active diplomatic posture, particularly in light of President Trump’s visit alongside several prominent American business leaders and technology executives. Discussion also focused on Russian President Vladimir Putin’s subsequent visit to Beijing less than a week later. Participants viewed the sequence as another example of China attempting to position itself as an independent power capable of balancing relationships with multiple geopolitical blocs simultaneously.

Taiwan remained a recurring topic throughout the conversation. Participants debated the likelihood of military conflict, economic pressure campaigns, election influence, and long-term demographic shifts within Taiwan itself. While opinions varied, the consensus was that economic and political influence remain more likely near-term tools than direct military action. Prediction markets were referenced as evidence that investors currently assign relatively low probabilities to a near-term Taiwan conflict despite continued geopolitical tensions.

The group also spent significant time analyzing NVIDIA’s participation in the trip, including Jensen Huang’s late addition to the delegation after originally being left off the attendee list. Discussion centered on the broader implications of AI hardware exports to China and the growing strategic importance of semiconductors within the U.S.–China relationship.

Participants noted that while the United States had already approved sales of NVIDIA’s H200 chips to a limited group of Chinese customers, the situation had evolved into something more complex. Several members highlighted reports suggesting that Chinese authorities themselves were slowing adoption of imported AI hardware in favor of domestic alternatives such as Huawei’s Ascend platform. This led to discussion around whether China remains structurally one generation behind the leading edge or whether sustained investment and industrial policy could eventually narrow the gap.

The conversation repeatedly returned to the distinction between current-generation systems and the next wave of AI hardware. While some level of access to existing technology may continue, many participants viewed the most advanced future systems as the true strategic battleground, particularly as compute scaling continues accelerating.

This naturally led into discussion of Super Micro Computer (SMCI) and the federal case involving alleged exports of AI servers to China. Participants reviewed reports surrounding the indictment of the company’s co-founder and several associates tied to an alleged multibillion-dollar scheme involving NVIDIA-powered servers routed through intermediary entities. At the same time, members noted that Super Micro itself had not been charged and had publicly stated that it was cooperating with authorities.

The discussion also revisited the company’s broader history of controversies involving accounting issues, short-seller allegations, and export-control scrutiny. While participants acknowledged that these developments had significantly impacted investor sentiment and share price performance, many also argued that AI infrastructure demand remains so powerful that key suppliers may continue benefiting despite substantial operational and regulatory risks.

A broader takeaway emerged that AI leadership increasingly depends not only on model development but also on access to compute, semiconductors, manufacturing, energy, and infrastructure. While China remains highly competitive and continues investing aggressively across the AI stack, participants generally agreed that many of the industry’s most important bottlenecks remain linked to specialized capabilities, supply chains, and infrastructure developed over many years. How quickly those advantages can be replicated or overcome remains one of the central questions shaping the future of AI competition.

3. Chinese Micro-Caps, Dilution Cycles, and Speculative Market Behavior

The group also discussed the dramatic surge in several Chinese micro-cap stocks around the time of President Trump’s China visit and the broader lessons these moves offer about speculative market behavior.

Participants examined a number of low-priced Chinese companies that experienced extraordinary short-term rallies despite little evidence of meaningful business developments or fundamental catalysts. Two examples that drew significant attention were Dreamland Limited (TDIC) and WORK Medical Technology Group (WOK), both of which experienced highly volatile trading activity during May.

Dreamland became one of the most extreme examples discussed. Following an announcement involving a non-binding memorandum of understanding related to an AI-powered image platform, the stock experienced a parabolic rally that briefly carried shares from well under $1 to nearly $30 within days before rapidly collapsing back toward prior levels. The speed of both the advance and subsequent decline highlighted how quickly speculative capital can flow into thinly traded micro-cap names.

WORK Medical Technology Group provided a similar case study. After previously conducting a large reverse stock split to maintain Nasdaq listing compliance, the company announced an AI healthcare partnership alongside a blockchain-related asset tokenization initiative. Shares surged several hundred percent in a matter of days before momentum faded and the stock retraced much of the move. The discussion highlighted how combinations of AI-related announcements, limited float, reverse splits, and retail speculation can sometimes produce outsized price movements that bear little relationship to underlying business fundamentals.

The conversation expanded into the broader topic of micro-cap investing. While acknowledging that rare exceptions exist, participants generally expressed skepticism toward the long-term prospects of many small-cap Chinese listings, particularly those with limited operating history, weak fundamentals, or repeated dilution. Discussion also touched on how some issuers use reverse splits and secondary offerings to maintain exchange listings while continuing to raise capital from public markets.

The conversation examined the mechanics behind these moves, including promotional activity, momentum trading, limited float dynamics, dilution, reverse splits, and the role of short sellers. A common view throughout the discussion was that many of these companies operate primarily as capital-raising vehicles rather than businesses positioned to create meaningful long-term value.

A recurring theme was that dramatic price appreciation alone does not necessarily indicate value creation. Participants noted that many of these rallies appear driven by temporary supply-demand imbalances, speculative trading activity, and market structure dynamics rather than genuine improvements in business quality or long-term prospects.

The broader takeaway was that understanding incentives, capital allocation, dilution risk, and market structure can be just as important as analyzing a company’s underlying business when evaluating highly speculative securities.

4. EVs, Autonomy, and the Future of Transportation

The discussion around China naturally evolved into electric vehicles, autonomous driving, and transportation infrastructure.

Participants debated the long-term outlook for traditional automakers, Chinese EV manufacturers, Tesla (TSLA), and autonomous transportation systems. Several members highlighted concerns that many legacy automakers may be underestimating the speed of the transition toward electrification and autonomy, while Chinese manufacturers continue scaling production, lowering costs, and expanding technological capabilities. BYD in particular was discussed as an example of how rapidly Chinese EV companies have grown, with several participants noting that Chinese manufacturers have become increasingly competitive on both price and technology.

A recurring theme was whether Chinese EV manufacturers eventually entering Western markets represents an inevitable development rather than a possibility. The conversation touched on ongoing tariff protections, political considerations, and the potential implications for domestic manufacturers if Chinese competitors gain broader access to international markets. Several members noted that while the United States remains largely closed to Chinese EV imports due to tariffs and trade restrictions, many Chinese manufacturers have already established a growing presence across Europe and other international markets through local production partnerships and overseas expansion efforts.

The discussion also examined Elon Musk’s long-term vision for transportation and the role Tesla may play within a much larger autonomous ecosystem. Participants debated whether autonomy ultimately matters more than electrification itself, with several noting that fully autonomous transportation networks could reshape vehicle ownership, insurance, logistics, and urban mobility regardless of which manufacturers ultimately dominate the market.

Tesla’s open-source approach to certain technologies, charging infrastructure strategy, and broader ecosystem advantages were also discussed. Members highlighted the company’s decision to open portions of its technology stack and the widespread industry adoption of Tesla’s North American Charging Standard, which many viewed as an example of how ecosystem control can create durable strategic advantages beyond vehicle sales alone.

The conversation also touched on the current state of autonomous driving deployment. While participants generally viewed autonomy as one of the most transformative long-term trends in transportation, several noted that large-scale commercial deployment remains a work in progress. Tesla’s early robotaxi operations, ongoing software development efforts, and competition from companies such as Waymo were discussed as examples of both the significant progress already achieved and the challenges that remain before fully autonomous transportation networks can scale broadly.

The broader takeaway was that autonomy remains one of the most important long-term transportation themes. While opinions differed on the pace of adoption and the eventual winners, the group generally agreed that the intersection of electric vehicles, AI, and self-driving systems will continue reshaping the transportation industry over the coming decade.

5. SpaceX, AI Infrastructure, and Orbital Data Centers

SpaceX remained one of the dominant themes of the evening.

Discussion centered around SpaceX’s expanding role as an AI infrastructure provider following its partnership with Anthropic and ongoing negotiations with Alphabet (GOOGL) surrounding orbital data center initiatives. Participants also discussed the company’s recent integration of xAI into the broader SpaceX ecosystem, which has further expanded its exposure to AI infrastructure, compute, and model development.

Participants examined the growing importance of compute scarcity and how SpaceX’s Colossus infrastructure effectively positions the company as a major neocloud provider. Several members noted that compute availability has emerged as one of the industry’s most important constraints, with demand continuing to outpace available infrastructure. The group discussed Anthropic’s recently announced partnership with SpaceX and viewed it as further evidence that access to large-scale compute capacity is becoming one of the industry’s most valuable assets.

The conversation expanded into orbital data centers, one of the most futuristic topics of the evening. The group debated the potential advantages of space-based compute, including cooling efficiency, energy generation, and environmental considerations. Discussion also touched on recent reports surrounding SpaceX’s orbital data center ambitions and the growing interest from both technology companies and investors in long-term space-based infrastructure.

While significant technical, regulatory, and economic challenges remain, many participants viewed orbital data centers as a legitimate long-term possibility rather than science fiction. Gavin Baker’s recent comments surrounding orbital infrastructure and AI scaling were referenced multiple times throughout the discussion, particularly his view that long-term AI development may depend as much on expanding power generation, compute capacity, and supporting infrastructure as advances in the models themselves.

The broader takeaway was that AI appears to be driving a large-scale buildout across power, compute, networking, and data center infrastructure. Infrastructure ownership continues to emerge as one of the most important sources of long-term strategic advantage.

6. SpaceX, Cursor, and Workflow Control

The recent announcement that SpaceX secured an option to acquire Cursor generated one of the more detailed discussions of the evening, with many viewing the deal as further evidence that AI competition is shifting beyond models and toward workflows, developer tools, and ecosystem control.

Cursor’s rapid growth within software development communities was discussed extensively, particularly its ability to sit between users and frontier AI models while improving productivity and workflow management. Members noted that Cursor has become one of the fastest-growing software platforms in the AI ecosystem, highlighting the growing importance of developer workflows and distribution.

The discussion also explored how combining Cursor’s software capabilities with SpaceX’s rapidly expanding compute infrastructure could create a powerful vertically integrated ecosystem. Members discussed the potential benefits of pairing a widely adopted AI development platform with large-scale compute resources, potentially reducing dependence on third-party providers while creating tighter integration between infrastructure, models, and end users.

The conversation repeatedly returned to a broader point that ownership of interfaces, workflows, and developer ecosystems may ultimately prove as valuable as ownership of the underlying models themselves.

7. SpaceX IPO, Private Markets, and Speculative Excess

The anticipated SpaceX IPO remained a major focus throughout the evening.

Members debated valuation, float structure, retail participation, index inclusion, and long-term upside scenarios. Several argued that the IPO may become one of the largest speculative events in modern market history due to extraordinary retail interest, limited float, and the company’s unique positioning across aerospace, AI, communications, and infrastructure. Discussion also centered on reports surrounding the company’s approximately $1.75 trillion valuation target, expected June listing, and roughly $75 billion capital raise, which would make it the largest U.S. public offering ever. Particular attention was paid to the unusually large planned retail allocation, with reports suggesting retail investors could receive a significantly larger share of the offering than is typical for major IPOs.

Discussion focused heavily on supply-demand dynamics. With only a small percentage of shares expected to be available for public trading initially and lockup restrictions limiting additional supply, some suggested that public float could remain constrained relative to investor demand during the early stages of trading. Several members noted that the combination of limited float, strong investor interest, and a highly anticipated public debut could create substantial volatility following the listing.

The conversation expanded into private investing and SPVs following Anthropic’s recent comments regarding unauthorized private share exposure. Members debated the legitimacy of various private market structures, the risks associated with indirect ownership vehicles, and the growing popularity of pre-IPO investing. Special Purpose Vehicles (SPVs), which allow multiple investors to pool capital and gain indirect exposure to private companies through a single investment entity, were discussed extensively as demand for private market access continues growing. The discussion also examined Anthropic’s warning that certain unauthorized share-transfer arrangements may not be recognized by the company, highlighting the complexity and risks associated with gaining exposure to highly sought-after private firms.

A recurring theme was that scarcity itself has become an asset class. Access increasingly drives valuation, particularly when dealing with highly sought-after private companies.

8. Quantum Computing and the Limits of Speculation

Quantum computing generated another lengthy discussion, driven in part by the Department of Commerce’s recent announcement that it had signed letters of intent to provide roughly $2 billion in CHIPS and Science Act incentives to nine quantum computing and manufacturing companies. IBM (IBM) was the largest recipient, receiving about $1 billion toward a new quantum wafer foundry in Albany, New York, while several smaller publicly traded names received more modest commitments. Notably, the initiative departs from a traditional grant structure: the government is taking minority equity stakes in the participating companies, making it a shareholder rather than simply a funding source.

While the group acknowledged the growing level of government support flowing into the sector, most participants remained skeptical of the smaller publicly traded quantum names. The conversation repeatedly returned to the distinction between technological promise and investable reality.

IBM was widely viewed as the most credible participant, given its scale, research capabilities, existing business infrastructure, and long history in quantum. Smaller quantum companies were generally characterized as highly speculative vehicles with uncertain commercial timelines. Several members noted that while the funding announcements help validate the strategic importance of the technology, they do not resolve the harder questions around commercialization, profitability, and long-term competitive positioning.

The broader takeaway was that quantum computing may eventually prove transformational, but many current public-market valuations appear to be pricing in outcomes that remain years away from commercial realization.

9. Healthcare, GLP-1s, and Human Enhancement

Healthcare remained an important topic throughout the meeting.

The group reviewed Eli Lilly’s (LLY) latest retatrutide results and discussed the continued evolution of GLP-1 therapies. Participants highlighted the remarkable efficacy shown in recent trial data, including weight-loss results approaching levels historically associated with bariatric surgery, and debated the broader implications for healthcare, longevity, and preventive medicine. It was also noted that while the results have been highly encouraging, the drug remains investigational and has not yet received regulatory approval.

Many of these themes resurfaced during discussion of Enhanced Games (ENHA), viewed as another example of the growing intersection between healthcare, performance enhancement, and consumer optimization. The Enhanced Games generated one of the more unusual conversations of the evening. Following its recent public listing and inaugural Las Vegas event, discussion centered on the business model, regulatory environment, cultural appeal, and investment implications of a sporting competition built around openly enhanced athletic performance. Particular attention went to the company’s focus on sports such as swimming, track, and weightlifting, disciplines that historically have not generated the same commercialization, media-rights revenue, or sports-betting activity as many major professional leagues.

The group also discussed how Enhanced Games might attract elite athletes through substantially larger prize pools and financial incentives, including a $25 million total purse and seven-figure bonuses for record-breaking performances, and what it would mean to build a more commercially driven ecosystem around traditionally under-monetized sports. The inaugural event produced several headline moments, including an unofficial world-record swim, which supporters viewed as evidence the concept can command real attention. At the same time, questions were raised about long-term consumer demand, regulatory acceptance, and whether the model can ultimately support a sustainable business.

The discussion ultimately reflected a larger theme: healthcare increasingly appears to be shifting from treatment toward enhancement and optimization. The debate around Enhanced Games captured a broader divide between traditional notions of sport and a growing belief that human enhancement, performance optimization, and more market-driven athlete compensation could reshape portions of the athletic landscape in the years ahead.

10. AI Breakthroughs, Robotics, and the Next Wave

Recent advances in AI-driven mathematical research became a notable topic of discussion. Particular attention was given to OpenAI’s announcement that one of its reasoning models had independently disproved a longstanding mathematical conjecture associated with an 80-year-old problem first posed by Paul Erdős in 1946. The result attracted significant attention within the mathematics community and was independently reviewed by several prominent researchers, with some describing it as one of the first AI-generated mathematical results that was genuinely interesting in its own right.

The discussion centered on what these breakthroughs imply about the pace of capability improvements and whether society is moving closer toward more generalized forms of artificial intelligence. Participants also noted that OpenAI’s result was not an isolated event, as other AI systems had recently been credited with making progress on additional long-standing mathematical problems, reinforcing the view that AI’s role in research and scientific discovery continues expanding rapidly.

At the same time, discussion acknowledged that many experts still view AI as a tool that assists with search, verification, and discovery rather than a replacement for human judgment. The conversation explored the potential implications across research, software development, mathematics, healthcare, and scientific discovery more broadly. It was also noted that independent verification played an important role in establishing credibility, particularly after earlier claims of AI solving open mathematical problems were later found to involve solutions that already existed in the academic literature.

The conversation then shifted toward robotics and physical-world AI applications. Companies such as Ambarella (AMBA) and Symbotic (SYM) were discussed as potential second-order beneficiaries of future robotics adoption, particularly as advances in AI increasingly move beyond software and into real-world systems.

The broader view was that many investors remain focused on current AI infrastructure while underestimating the possibility that robotics becomes the next major wave emerging from the same compute-scaling trends.

11. Rare Earths, Infrastructure, and Strategic Independence

Rare earths and supply-chain independence also emerged as a topic of discussion, particularly through conversation surrounding USA Rare Earth (USAR) and the broader rare earth ecosystem.

Participants examined the strategic importance of rare earth production, particularly as governments seek to reduce dependence on foreign supply chains. Rare earth materials such as neodymium, dysprosium, and terbium play important roles in defense systems, electrification, robotics, advanced manufacturing, and other strategically important industries. China currently accounts for roughly 70% of global rare earth mining production and approximately 90% of rare earth processing and refining capacity, highlighting the degree to which critical portions of the supply chain remain concentrated outside the United States and much of the Western world.

The group also discussed USA Rare Earth’s efforts to build a vertically integrated domestic supply chain spanning mining, processing, and magnet production. While the company remains highly speculative, it is beginning to transition from development toward early-stage commercial production as part of broader efforts to establish domestic alternatives to existing global supply chains.

The conversation also touched on the increasing role of government support and industrial policy in shaping the sector. As geopolitical competition intensifies and supply-chain security becomes a greater priority, many participants viewed rare earths as an area likely to attract continued strategic attention from both policymakers and investors.

The discussion reinforced a recurring theme from throughout the evening: the companies controlling critical inputs and bottlenecks often become some of the largest beneficiaries of transformational technological shifts.

12. Lightning Round

The final portion of the meeting covered a wide range of individual names and themes including NetApp (NTAP), Dell Technologies (DELL), Broadcom (AVGO), Rocket Lab (RKLB), BioMarin Pharmaceutical (BMRN), Take-Two Interactive (TTWO), Intuitive Surgical (ISRG), Axon Enterprise (AXON), and several AI infrastructure beneficiaries.

Take-Two Interactive generated discussion due to the upcoming release of Grand Theft Auto VI, which many participants believe could become one of the largest entertainment launches in history.

NetApp and Dell were discussed as less obvious beneficiaries of AI infrastructure spending through their roles in storage and enterprise systems.

BioMarin attracted interest due to its strong cash flow profile and exposure to longer-term healthcare themes.

The recurring takeaway from the lightning round was that many of the best opportunities may sit one or two layers beneath the obvious headlines, particularly in infrastructure, memory, storage, networking, healthcare, and enabling technologies.

Closing Thoughts

The May 25 meeting underscored how quickly the investing landscape continues to evolve across geopolitics, technology, infrastructure, healthcare, and capital markets, and how often those threads now converge on a single question: who controls the bottlenecks that future growth depends on.

Geopolitics framed much of the evening. The aftermath of the Iran conflict and its still-fragile ceasefire, President Trump’s China visit and the diplomatic choreography around it, and the ongoing contest over Taiwan and AI hardware all reinforced a now-familiar pattern: markets increasingly price the duration of a disruption rather than the existence of conflict itself, while the most advanced compute and semiconductor capabilities remain the central strategic battleground between the United States and China.

Artificial intelligence remained the connective tissue tying nearly every topic together. Whether the conversation turned to semiconductors, energy, orbital data centers, robotics, software workflows, or autonomous systems, it returned to the same reality: compute, infrastructure, and bottleneck control increasingly determine where value accrues. This year’s milestones in AI-driven mathematics, and the growing sense that robotics may become the next major wave emerging from the same compute-scaling trends, only sharpened that view.

SpaceX emerged as the single most recurring name of the night, sitting at the intersection of an unusual number of these trends at once: its AI-infrastructure ambitions, the Cursor option, the Anthropic partnership, orbital data center initiatives, and a hotly anticipated IPO that could become one of the largest and most speculative public offerings in modern market history.

The evening also offered a steady reminder to separate genuine value creation from speculative excess. The parabolic moves in Chinese micro-caps, the gap between quantum computing’s promise and its investable reality, and the float-driven dynamics expected around the SpaceX listing all pointed to the same lesson: dramatic price appreciation alone is not value creation, and understanding incentives, dilution, and market structure can matter as much as analyzing the underlying business.

One structural theme ran underneath nearly everything: infrastructure increasingly appears to matter more than applications. Power, semiconductors, memory, networking, rare earths, compute capacity, and data center construction are all emerging as foundational layers of the next economic cycle, with supply-chain independence, and the West’s heavy reliance on Chinese rare earth mining and processing, a growing strategic priority for both policymakers and investors.

Healthcare remained a compelling parallel development. Advances in GLP-1 therapies, peptides, optimization-focused medicine, and longevity continue to expand the scope of what the sector may become, with the discussion increasingly pointing toward a shift from treatment toward enhancement and optimization over the next decade.

The through-line, captured in the lightning round and echoed throughout the evening, was the value of second-order thinking. The obvious winners attract the headlines, but many of the most attractive opportunities may ultimately come from the suppliers, bottlenecks, ecosystems, and infrastructure providers operating one or two layers beneath the surface.

The livestream recording has been posted (

), and members are encouraged to revisit any portions of the discussion they may have missed.

We will reconvene on Monday, June 8, 2026 at the Union League Club of Chicago for our next meeting.

Attendance and Acknowledgements

A sincere thank you to the following members who attended and contributed to the discussion.

Attending members (listed alphabetically by last name):

Andrew Barrer

Quinn Basta (photography)

Seamus Cullinan

Mohammed Haq (recording, transcription)

Mohammed Muqeet (recording, transcription)

Al Pakrosnis (AI systems)

Mario Sanchez (videography)

Victor Sanchez (founder)

Eric Simpson (founder, moderation, summary)

Aarav Soni

Grant Taubman

Dash Williams

Jose Zuniga

Legal Disclaimer

Nothing discussed in this group or in this summary is financial advice or a recommendation to buy or sell any security. All discussion is for educational and informational purposes only.

The session followed the same open format that has increasingly defined these meetings, with discussion moving naturally across geopolitics, AI infrastructure, semiconductors, software, autonomous systems, market structure, and broader economic positioning.

Several recurring themes tied the discussion together throughout the evening. Much of the conversation centered on duration, infrastructure constraints, capital allocation, and how markets increasingly price where systems and industries are heading before those shifts fully materialize in the real economy.

Here is the recap.

1. Iran, oil markets, and duration pricing

The meeting opened with continued discussion around Iran, the Strait of Hormuz, and the broader energy market setup. The Strait of Hormuz remained the central focus throughout the discussion, with more than one-quarter of global seaborne oil trade and roughly one-fifth of global oil consumption moving through the corridor, making it one of the most important economic choke points in the world. Reports throughout the week suggested shipping remained heavily restricted even as headlines periodically implied partial reopening efforts.

Oil markets remained highly headline-driven, with Brent crude fluctuating around the $100 range depending on ceasefire expectations and escalation risks. The discussion centered largely on duration. Markets appear willing to tolerate a relatively short disruption, but the sensitivity increases significantly if elevated energy pricing persists and normalization timelines continue slipping further out.

Trump’s comments around escorting commercial ships through the Strait were viewed largely as signaling mechanisms designed to reinforce expectations around eventual normalization. The view was that policymakers remain highly focused on containing the economic impact before sustained energy inflation feeds more directly into consumer sentiment and the economy overall.

One of the more notable observations was how resilient equities had remained despite the geopolitical backdrop. The S&P 500 had already staged a sharp recovery from the March and April weakness, reinforcing the idea that markets are increasingly pricing eventual de-escalation and normalization pathways.

2. Political instability and market normalization

The discussion then shifted toward the White House Correspondents’ Dinner shooting incident and the market response to political instability. The incident generated substantial national attention after an armed individual entered the Washington Hilton carrying multiple weapons and opened fire near the event before being apprehended by Secret Service and law enforcement. The suspect is now in custody and has been charged with attempted assassination.

The conversation focused on how markets responded to the incident. The S&P 500 closed at a new all-time high during the first trading session afterward, reinforcing how increasingly desensitized markets have become to political instability unless events materially threaten institutional continuity, policy direction, or economic conditions.

The group also discussed how this was already being viewed within the context of multiple assassination attempts involving Trump since 2024, reinforcing the normalization effect around political volatility and security events. Markets remain overwhelmingly focused on liquidity, earnings, rates, energy, and larger economic systems, while political instability increasingly fades into the background unless it directly alters those dynamics.

3. Google TPUs, AI scaling, and hyperscaler economics

Google’s move toward externally selling TPU infrastructure sparked a lengthy discussion around hyperscaler economics, compute scaling, and the evolving monetization structure of AI. Recent reports surrounding Meta Platforms (META) and Anthropic using Google TPUs were viewed as a meaningful strategic shift given how heavily the AI ecosystem has historically depended on Nvidia (NVDA) hardware.

The discussion also revisited Nvidia Hopper systems, Blackwell systems, and next generation Rubin hardware, with the broader point being that current public AI capabilities likely still represent the early stages of what future compute scaling may eventually enable. Anthropic’s Mythos model also came up during the discussion and was widely viewed as one of the first major frontier-class models trained at scale on Nvidia Blackwell hardware. The fact that Anthropic chose to limit public release due to cybersecurity concerns was viewed as another signal that each new hardware generation is beginning to unlock meaningful capability jumps.

The conversation also focused on how Google (GOOGL) is evolving structurally. Advertising still dominates the company’s revenue base, but Google Cloud has become one of its primary AI monetization engines. Cloud growth, rising backlog numbers, and the external TPU strategy were all viewed as signs that Google is positioning itself as both an AI platform and major compute provider.

This tied directly into broader hyperscaler spending trends. The scale of projected capex across major technology companies was discussed as further evidence that AI is evolving into a full industrial buildout, with hyperscalers now competing across infrastructure ownership, custom silicon, energy access, compute scaling, ecosystems, and the model layer itself.

4. Semiconductor bottlenecks, monopolies, and infrastructure control

Semiconductors and manufacturing bottlenecks remained another major focus, with the discussion around ASML Holding (ASML), Taiwan Semiconductor Manufacturing Company (TSM), and advanced lithography centered on one core idea: modern AI scaling still runs through a very small number of critical infrastructure chokepoints.

ASML effectively maintains a monopoly over advanced EUV lithography systems required for leading edge chip production. Recent reports that TSMC would delay adoption of ASML’s next generation High-NA EUV systems initially triggered concern, though the group generally viewed the reaction as overblown. Existing Low-NA EUV systems already power most leading edge chip manufacturing today and cost a little over $200 million per machine, while the newer High-NA systems are designed to push production into even smaller and denser process nodes with greater precision. However, each High-NA machine now costs roughly $400 million or more, making the transition significantly more expensive for foundries. The consensus view was that TSMC’s decision appeared more related to cost optimization, rollout timing, and extracting more value from existing Low-NA EUV systems rather than any deterioration in long term AI demand.

China’s efforts to develop domestic semiconductor infrastructure also became a major point of discussion. Reports surrounding Huawei, SMIC, and state-backed semiconductor initiatives reinforced the idea that China is aggressively attempting to close the gap in advanced manufacturing capabilities through DUV multi-patterning techniques, domestic lithography programs, and broader infrastructure investment. At the same time, much of the remaining gap appears tied less to process-node geometry itself and more to manufacturing economics, yields, and scalable production volume relative to companies like TSMC.

The discussion also shifted toward HBM memory as a growing bottleneck within the AI ecosystem. SK Hynix, Samsung, and Micron were all discussed as increasingly critical players given how heavily AI systems now depend on advanced memory stacking and high bandwidth memory supply. Industry supply constraints around HBM were viewed as another major factor shaping the pace of AI compute scaling over the next several years.

At the same time, the group emphasized that the technological distance still appears extremely large across the broader semiconductor stack. ASML’s moat was repeatedly described as one of the strongest monopoly style positions anywhere in global technology infrastructure, particularly given how difficult advanced lithography has proven to replicate at scale. AI infrastructure remains heavily constrained at multiple chokepoints controlled by a relatively small number of companies spanning lithography, foundries, advanced memory, and AI compute.

5. Software disruption, enterprise lock-in, and execution risk

One of the longest discussions of the evening centered around software and the impact AI may have on enterprise businesses over the coming years. The group debated whether AI will ultimately destroy many software companies outright or instead force them into rapid adaptation cycles. Several participants argued that many legacy software firms appear significantly behind the curve operationally, while others emphasized the strength of enterprise lock-in, ecosystem integration, and workflow inertia.

The broader backdrop to the discussion was the severe repricing already taking place across software in 2026. The iShares Expanded Tech-Software ETF (IGV) had already fallen sharply from its prior highs, while much of the sector was experiencing one of its most aggressive multiple compressions in years. A major theme behind the selloff has been growing concern around “seat compression,” the idea that AI agents may eventually allow companies to operate with fewer software seats, smaller teams, and lower recurring subscription spending.

Software investing at this stage was framed as increasingly dependent on execution rather than valuation alone. Companies that successfully integrate AI into workflows and maintain ecosystem relevance may survive or even strengthen. Companies that fail to adapt quickly enough risk severe margin compression and long term erosion.

Adobe (ADBE) generated one of the more balanced discussions of the evening. Despite heavy stock underperformance, multiple participants emphasized that Adobe still possesses significant ecosystem advantages and deep professional workflow integration that lighter competitors have not replicated. The company’s recurring Creative Cloud ecosystem, large enterprise customer base, and dominance across Photoshop, Illustrator, and Premiere Pro were repeatedly cited as meaningful advantages.

At the same time, there was broad agreement that the software landscape is entering a much more competitive environment. AI lowers barriers to building new tools while simultaneously increasing the importance of data, distribution, workflow integration, and platform depth. Figma, Canva, and AI-native creative tools were all referenced as examples of how quickly competitive pressures are evolving across different layers of the software ecosystem.

The discussion repeatedly returned to a broader structural point: software companies are being forced to prove that they are true platforms rather than simply feature sets vulnerable to AI commoditization. Execution is becoming one of the defining variables across software, with the market increasingly separating companies where AI complements the core product from companies where AI may eventually substitute the core function entirely.

6. Cursor, SpaceX, and AI workflow control

The conversation around Cursor and SpaceX reflected another recurring theme of the evening: control over workflows and interfaces may become just as important as control over the underlying models themselves.

The discussion centered around the recently announced agreement giving SpaceX the right to acquire Cursor for roughly $60 billion by the end of 2026, or alternatively pay approximately $10 billion for an ongoing compute and collaboration partnership. The structure of the deal itself became part of the conversation, particularly given that it reportedly preempted a separate Cursor funding round that would have valued the company near $50 billion.

Cursor was discussed less as a standalone coding product and more as an orchestration layer sitting between users and multiple AI models. Participants described Cursor’s advantage as its ability to manage workflows, agent harnesses, and model interoperability in a cleaner and more productive way than many underlying providers currently offer themselves. The platform’s rapid enterprise adoption, including reported usage across a large portion of the Fortune 500, was viewed as evidence that workflow-layer companies may ultimately control a meaningful portion of AI distribution.

The discussion also touched on the structural challenge facing companies like Cursor. Many of the same model providers powering these workflow products, including Anthropic and OpenAI, increasingly compete directly against them. That dynamic reinforced the broader idea that workflow-layer companies may eventually need direct compute access and infrastructure ownership rather than remaining dependent on external model suppliers indefinitely.

On the SpaceX side, the deal was viewed partly through the lens of the company’s broader AI ambitions following the February 2026 absorption of xAI into SpaceX itself. The Colossus compute cluster and related AI infrastructure buildout were repeatedly referenced as evidence that SpaceX is attempting to position itself as more than simply an aerospace company ahead of a widely anticipated future IPO.

The broader discussion repeatedly returned to one core point: AI competition is expanding beyond models themselves into compute ownership, workflows, interfaces, distribution, and ecosystem control.

7. GameStop, eBay, and speculative market narratives

The discussion around GameStop (GME) and eBay (EBAY) became one of the more notable corporate and market structure topics of the evening after reports surfaced that GameStop had submitted an unsolicited approximately $55.5 billion cash-and-stock offer for eBay despite GameStop itself carrying a market capitalization of only around $12 billion compared to eBay’s roughly $46 billion valuation.

The group spent time debating whether the proposal represented a serious long term strategic move or partly a narrative-driven play by Ryan Cohen. Attention centered heavily on Cohen’s CNBC interview, where he repeatedly emphasized GameStop’s ability to issue additional shares and raise outside capital. Reports surrounding a roughly $20 billion financing commitment from TD Securities became a major focus, though many participants remained skeptical given the overall scale of funding still required to complete a deal of that size.

The strategic rationale discussed during the meeting centered heavily around collectibles, secondary marketplaces, and digital ownership ecosystems. Several participants pointed to the growing overlap between GameStop’s collectibles business, PSA grading integration, trading card infrastructure, and eBay’s established resale marketplace. eBay has also quietly expanded its presence across enthusiast-driven categories over the past several years through acquisitions such as TCGplayer and Goldin, further reinforcing the strategic logic behind the collectibles and marketplace thesis being discussed.

GameStop’s expanding collectibles business itself became part of the conversation, with participants noting how materially the category has already grown within the company’s revenue mix. The broader idea was that GameStop may ultimately be attempting to reposition itself around a hybrid physical-digital collectibles ecosystem rather than remaining primarily a traditional gaming retailer.

At the same time, the group repeatedly returned to the role narrative amplification itself now plays in modern markets. While the financing math behind the proposal remained highly debated, many participants viewed the situation less as a binary “real versus publicity” situation and more as a credibly hostile strategic attempt operating alongside aggressive narrative generation and market positioning.

The broader takeaway was that market structure, narrative amplification, speculative positioning, and capital markets strategy are becoming increasingly intertwined in how companies attempt to create attention, attract capital, and reposition their identities in rapidly changing markets.

8. Market structure, speculation, and engineered squeezes

The recent Avis Budget Group (CAR) short squeeze and subsequent collapse became a broader discussion around market structure, low float dynamics, and speculative trading behavior.

The discussion broke down how heavily shorted low float stocks can become detached from fundamentals when concentrated ownership, leverage, and forced covering collide simultaneously. CAR became one of the clearest recent examples. The company had roughly 35 million shares outstanding, but participants discussed reports that two hedge funds, SRS Investment Management and Pentwater Capital, had accumulated massive overlapping exposure through a combination of common stock and cash-settled swaps, collectively controlling roughly 82% of the effective float while building economic exposure that reportedly exceeded 100% of outstanding shares. That dynamic effectively crushed the true tradeable float down toward roughly 10 million shares at a time when short interest had approached nearly 9 million shares, creating conditions where shorts were attempting to cover more stock than was realistically available in the market.

The result was one of the most violent recent examples of reflexive market structure behavior. Avis surged roughly 770% from early March into its April peak, briefly trading above $800 intraday before collapsing roughly 72% in little more than a day as positioning unwound and liquidity dynamics reversed.

The group discussed how the move resembled prior episodes involving GameStop (GME) and Hertz Global Holdings (HTZ), where structurally weak businesses experienced explosive upside moves driven more by positioning, leverage, and market mechanics than underlying operational improvement. However, the Avis situation appeared even more extreme because the squeeze was increasingly being driven by sophisticated institutional positioning rather than primarily retail speculation.

It was also noted that these types of extreme squeezes and momentum-driven price dislocations can create opportunities for companies to issue new shares and raise substantial capital at temporarily elevated valuations, even as the resulting dilution can eventually pressure the stock price once positioning normalizes. The broader takeaway was that understanding float structure, positioning, leverage, and forced flows is increasingly becoming just as important as understanding company fundamentals in certain parts of the market.

9. Autonomous driving, insurance, transportation shifts, and eVTOL speculation

Autonomous driving, robotaxis, and emerging transportation technologies generated another lengthy discussion.

The group focused heavily on Waymo, a subsidiary of Alphabet (GOOGL), Tesla (TSLA), insurance implications, and the likely long term impact on traditional transportation businesses. The conversation also touched on the view that autonomous systems will likely become dramatically safer than human driving over time, with part of the dialogue focused on the idea that human drivers are statistically inefficient and error-prone relative to what scaled autonomous networks may eventually achieve.

Waymo’s rapid operational scaling became a major focus of the evening. Participants discussed how the company now operates roughly 3,000 autonomous vehicles across 10 U.S. cities while already servicing a massive and rapidly growing commercial robotaxi network. The growth trajectory itself became one of the more notable themes, with weekly rides having reportedly increased nearly tenfold in less than two years, rising from roughly 50,000 weekly rides in 2024 to over 500,000 today. The broader takeaway was that autonomous transportation is no longer simply a future technology narrative operating in isolated test environments. It is increasingly becoming a real commercial deployment and infrastructure scaling challenge involving fleet operations, regulation, insurance, logistics, mapping, maintenance, and consumer adoption.

Insurance dynamics became an especially interesting part of the conversation. Participants debated whether insurers ultimately lose business due to lower accident rates or instead shift toward insuring fleets, infrastructure operators, and autonomous transportation networks themselves. Tesla’s own insurance initiatives were also brought up within the context of vertically integrated autonomous ecosystems.

The conversation also expanded into the long term future of rental car companies. Several participants argued that widespread robotaxi adoption could eventually pressure traditional rental businesses significantly, particularly as autonomous transportation becomes cheaper, safer, and more convenient over time.

The conversation later shifted into eVTOL aircraft and urban air mobility speculation surrounding Joby Aviation (JOBY) and Archer Aviation (ACHR). Participants discussed Joby’s recent demonstration flight from JFK Airport into Manhattan, where the company completed one of the first fully electric air taxi flights between a major commercial airport and Manhattan in roughly 15 minutes, compared to what can often be a 60 to 120 minute drive through New York traffic. The discussion centered heavily on whether these aircraft could eventually evolve into premium transportation networks for dense urban markets where time savings justify higher pricing.

Joby’s broader strategy also became part of the discussion. Participants referenced the company’s acquisition of the passenger business of Blade Air Mobility (BLDE), which already operated premium helicopter transportation networks around New York City, as well as partnerships involving Delta Air Lines (DAL) and Uber Technologies (UBER) that could potentially help integrate future eVTOL systems directly into existing travel and ride-hailing ecosystems.

At the same time, the group emphasized that scaling eVTOL systems introduces an entirely different set of infrastructure, regulatory, safety, pilot training, commercialization, and operational challenges beyond traditional autonomous driving. Questions around landing infrastructure, economics, maintenance, certification timelines, and long term consumer adoption were all debated extensively.

The broader takeaway was that transportation may ultimately undergo restructuring across multiple layers simultaneously, including autonomous driving, insurance, logistics, urban mobility, fleet economics, and eventually even low altitude air transportation networks.

10. Consumer bifurcation and retail positioning

The discussion around Nike (NKE), Lululemon Athletica (LULU), Ralph Lauren (RL), and TJX Companies (TJX), the parent company of TJ Maxx, reinforced another theme that has repeatedly surfaced across recent meetings: the growing bifurcation within consumer spending.

Part of the conversation initially centered around Lululemon’s decision to appoint longtime Nike executive Heidi O’Neill as its next CEO amid mounting pressure on both companies. Participants debated whether bringing in leadership from Nike, which itself has struggled with slowing momentum, management turnover, product execution issues, and rising competition, represented the right strategic direction for Lululemon during a period where the broader athletic apparel space is becoming increasingly competitive. The market reaction itself became part of the conversation, with Lululemon shares falling sharply following the announcement as investors questioned whether leadership tied to Nike’s recent struggles could successfully reignite growth.

The discussion also focused on broader consumer headwinds affecting both companies. Nike was framed as a major example of execution issues compounding structural pressures, with participants discussing the company’s loss of cultural momentum, slower innovation cycles, missed strategic opportunities, and growing competition from newer brands. Lululemon was discussed through a similar lens, particularly as the company faces growing competition within the athletic apparel space alongside broader questions around product direction, brand positioning, and maintaining premium consumer appeal in a more difficult spending environment.

At the same time, Ralph Lauren was referenced as an example of how certain luxury-oriented consumer brands have continued performing well despite weakness across much of retail. Participants discussed how higher income consumers continue spending aggressively on premium brands and status-oriented products even while more price sensitive consumers pull back elsewhere in the economy. The company was viewed as benefiting from a more affluent customer base and stronger pricing power relative to many mid-tier consumer brands that appear trapped between premium positioning and value positioning as consumer spending becomes more polarized.

TJX Companies was referenced as an example of a retailer that may be structurally better positioned to navigate those dynamics due to its broad consumer appeal and value-oriented business model. Participants noted that off-price retail tends to remain resilient across a variety of economic environments because it attracts both budget conscious shoppers and higher income consumers looking for discounted premium merchandise. The company was repeatedly described as a retailer built more for the mass market rather than relying heavily on trend cycles or exclusivity.

The broader takeaway was that consumer markets are becoming increasingly selective and segmented. Companies that can combine strong brand identity with broad consumer accessibility, operational execution, and adaptability to changing spending patterns appear far better positioned than brands relying primarily on legacy recognition, exclusivity, or past momentum alone.

11. AI infrastructure winners and second-order beneficiaries

The meeting concluded with a more free flowing lightning round covering Broadcom (AVGO), Intel (INTC), Super Micro Computer (SMCI), photonics, AI memory demand, Sivers Semiconductors (SIVEF), and speculative semiconductor ecosystem plays.

Broadcom was discussed as one of the clearest second-order beneficiaries of TPU scaling and hyperscaler infrastructure demand, particularly through its role as Google’s custom TPU design and manufacturing partner alongside its exposure to AI networking infrastructure. The company’s positioning across networking, custom silicon, and AI infrastructure connectivity was viewed as becoming more important as compute clusters continue scaling upward.

Intel was framed as a politically important turnaround story tied directly into domestic semiconductor manufacturing initiatives and AI infrastructure demand. Several participants acknowledged the company’s historical operational failures while still arguing that the overall demand environment may continue lifting much of the semiconductor ecosystem regardless.

Super Micro Computer was also discussed due to its aggressive positioning within AI server infrastructure despite prior controversies involving export controls and accounting concerns. The group generally concluded that AI demand remains so intense that many infrastructure suppliers may continue benefiting despite substantial operational risks.

Sivers Semiconductors also came up during the discussion in relation to photonics and optical interconnect technology. Participants discussed how power consumption, heat, and data transfer bottlenecks are becoming increasingly important constraints as AI compute clusters continue scaling. Optical and photonics-related infrastructure was viewed as a potential next generation area of focus as the industry searches for more efficient ways to move data across dense AI systems. Recent industry developments involving Nvidia’s multibillion-dollar investments into photonics-related infrastructure companies were also viewed as another signal that optical interconnect technology is becoming a much more important part of the future AI infrastructure stack.

AI infrastructure demand is becoming expansive enough that investment opportunities now extend well beyond the model layer itself and into the entire supporting ecosystem surrounding compute, networking, memory, cooling, and data transfer infrastructure.

Closing Thoughts

The May 4 meeting reinforced how interconnected many of today’s major market themes have become. What initially appear to be separate conversations around geopolitics, AI, semiconductors, software, transportation, market structure, and consumer behavior increasingly feed into the same underlying systems of capital allocation, infrastructure control, and long duration technological change.

A major theme throughout the evening was that AI is evolving far beyond a simple software cycle. The discussion repeatedly returned to the idea that AI is becoming a full industrial buildout spanning semiconductors, networking, memory, compute infrastructure, power systems, data centers, workflow software, autonomous transportation, and eventually broader physical-world infrastructure. Companies controlling key chokepoints across these systems continue gaining strategic importance as scaling pressures intensify.

The group also spent considerable time discussing how markets increasingly operate through forward pricing, reflexivity, and narrative amplification rather than through present fundamentals alone. Whether the topic was oil markets reacting to Iran headlines, software companies facing AI disruption fears, speculative squeezes in names like Avis Budget Group and GameStop, or the hyperscaler spending race surrounding AI infrastructure, the broader takeaway was that positioning, expectations, and duration assumptions now play an enormous role in determining asset prices.

Another recurring idea throughout the meeting was that control matters more than simple participation. Control over compute, workflows, distribution, ecosystems, supply chains, infrastructure, and capital access continues shaping where long term value may ultimately accrue. This dynamic appeared repeatedly across discussions involving Google’s TPU strategy, Nvidia’s infrastructure dominance, ASML’s lithography moat, Cursor’s workflow layer positioning, and autonomous transportation networks like Waymo.

The discussion also reinforced how important second-order thinking has become in modern markets. Many of the opportunities discussed throughout the evening were not centered solely on the most obvious headline winners, but rather on the surrounding ecosystems, bottlenecks, suppliers, infrastructure providers, and enabling technologies underneath the surface. AI infrastructure demand alone now touches networking, optical interconnects, advanced memory, cooling systems, energy demand, transportation systems, insurance models, and industrial manufacturing capacity simultaneously.

Overall, the meeting reflected the interdisciplinary nature of investing itself. Markets are becoming more connected across technology, geopolitics, infrastructure, psychology, regulation, and capital flows, making synthesis and systems-level thinking increasingly valuable.

The group will reconvene on Monday, May 25, 2026 at the Union League Club of Chicago for the next meeting. As always, the discussion will continue evolving alongside the markets themselves.

Attendance and Acknowledgements

A sincere thank you to the following members who attended in person and contributed to the discussion.

Attending members (listed alphabetically by last name):

Mohit Aggarwal

Mohammed Muqueet

Diana Ascencio

Tommy Ngo

Quinn Basta (photography)

Irem Pamuksuz

Seamus Cullinan

Al Pakrosnis (AI systems)

Jerry Gray

Krrishil Raval

Mohammed Haq (recording, transcription)

Victor Sanchez (founder)

Oleh Holovatiuk

Mario Sanchez (videography)

Brian Jung

Raza Siddiqui

Vanessa Kho

Eric Simpson (founder, moderation, summary)

Mariko Limpar

Sneha Shrivastav

Annais Gangolf

Jordan Wilson

Legal Disclaimer

Nothing discussed in this group or in this summary is financial advice or a recommendation to buy or sell any security. All discussion is for educational and informational purposes only.