🇨🇦 226%: Canada Has Never Been Priced Like This

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Canadian equities are now valued more highly relative to the domestic economy than they were at the 1999 technology-bubble peak. The risk signal is extreme—but the Economic Seasons Model has not yet confirmed that the market is rolling over.

Every market cycle has moments when valuation becomes impossible to ignore.

Canada may be at one of those moments.

A…

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A Rolling Global Kuznets Top

China first. New Zealand. Canada.

Now potentially Australia.

BIS data suggest the danger isn’t a synchronized peak, but increasingly synchronized downside.

For years, investors have been conditioned to think about real estate in national terms.

Canadian housing.

Australian housing.

Chinese housing.

U.S. housing.

But the latest BIS data suggest that this may be the wrong way to think about the current cycle.

The more useful framework may be a rolling global Kuznets top.

Not one synchronized global peak.

Not one global crash date.

Rather, a sequence of property markets peaking at different times—first by country, then by province or state, then by city, and even by property type.

That distinction matters because it may explain why the global housing downturn can initially look surprisingly mild.

One market is falling while another is still rising.

One province is weakening while another remains strong.

One city has already entered a bear market while another is making new highs.

The aggregate looks stable.

Until it doesn’t.

The latest BIS signal

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Some subscribers were surprised when I became more constructive on equities in late 2023.

Earlier that year, I had been bearish.

And there were plenty of reasons to remain bearish.

Valuations were historically elevated. Debt levels were enormous. Real estate in several countries was badly stretched. Interest rates had risen rapidly. The LongWave backdrop was deteriorating. Many of the structural indicators I had followed for years looked increasingly uncomfortable.

Yet the market began telling me something different.

And after more than three decades studying markets, I had learned an important lesson:

When the model changes, I have to change with it.

That decision did not come easily.

It came from mistakes I made decades earlier.

1989: My First Lesson — I Didn’t Know I Was Buying a Top

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Edward Chancellor’s argument in The Price of Time goes much deeper than saying ultra-low interest rates were ineffective.

His more important point is that when the price of money is artificially suppressed, capital loses its compass.

Interest rates are not simply the cost of borrowing. They are one of capitalism’s most important signals.

They help determine:

• which investments deserve capital,

• which businesses are productive enough to survive,

• whether saving should be rewarded,

• whether an asset is genuinely valuable or merely financeable.

When that signal is distorted for long enough, the consequences spread throughout the economy.

The Signal

Near-zero interest rates were introduced as a rescue.

They were supposed to encourage borrowing, investment, consumption and economic recovery.

But much of the new purchasing power did not flow toward productivity-enhancing investment.

It flowed toward assets.

🏠 Housing
📈 Equities
🏢 Commercial property
💳 Leverage
💰 Private markets
🚀 Speculative ventures

Cheap capital increasingly rewarded owning and financially engineering existing assets rather than creating new productive capacity.

That distinction matters enormously.

The Economic Season

This is almost textbook Economic Autumn.

During Economic Spring, capital tends to flow toward rebuilding, productive investment and emerging technologies.

During Autumn, the financial system increasingly learns how to extract more value from existing assets.

Debt grows.

Asset values rise faster than incomes.

Financial claims multiply faster than productive capacity.

Eventually society begins confusing rising asset prices with rising wealth.

The two are not the same.

The extraordinary period of near-zero interest rates after the Global Financial Crisis accelerated this process.

Instead of allowing weak investments to be cleared and capital to migrate toward more productive uses, policymakers repeatedly reduced the cost of capital.

The immediate pain was reduced.

But the structural imbalance grew larger.

Historical Context

This is where Chancellor’s argument connects naturally with Schumpeter.

Schumpeter described capitalism as a process of Creative Destruction.

Old business models fail.

Bad investments are liquidated.

Capital and labour are released.

New technologies and new enterprises replace them. 🌱

That destruction is uncomfortable, but it serves an economic purpose.

When policymakers continually prevent that adjustment through extraordinarily cheap credit, they can suppress part of the destruction without necessarily producing more creation.

Zombie companies survive.

Unproductive assets remain overvalued.

Land prices rise.

Speculation becomes increasingly rational because financing remains cheap.

Instead of recycling capital, it becomes trapped.

The very policy intended to stabilize capitalism can therefore weaken its regenerative mechanism.

The Human Consequence

The effects eventually reach ordinary households.

Young families face home prices increasingly detached from wages.

Savers are pushed toward greater risk simply to earn a return.

Businesses discover that purchasing property or financial assets can be more rewarding than investing in productive capacity.

Governments become accustomed to financing deficits at unusually low rates.

Investors become accustomed to rising valuations.

Debt becomes easier to accumulate than to repay.

None of this feels dangerous while asset prices are rising.

That is precisely why late-cycle financialization can persist for so long.

What Comes Next

❄️ Economic Winter begins when the system can no longer increase leverage fast enough to support the valuations created during Autumn.

Then the process reverses.

Credit growth slows.

Asset prices encounter affordability constraints.

Weak borrowers become visible.

Bad investments are exposed.

Capital begins searching for productivity rather than merely financial appreciation.

This is the painful side of Creative Destruction.

But it is also where the next economic spring begins.

The productive technologies already developing beneath the financial economy—AI, robotics, biotechnology, advanced energy, automation, and decentralized systems—do not disappear when an asset bubble deflates.

Quite the opposite.

Clearing obsolete capital can eventually create the conditions for those technologies to spread throughout the economy.

🔥 Destruction clears the field.

🌱 Innovation plants the next cycle.

What Would Prove This Wrong?

The thesis should remain falsifiable.

If decades of exceptionally low interest rates ultimately produce:

• sustained productivity acceleration,

• falling leverage relative to incomes,

• improving housing affordability,

• stronger business investment,

• and asset values supported primarily by underlying cash flows,

then the argument that cheap money primarily encouraged financialization would need to be reconsidered.

But if debt remains elevated, productivity disappoints, and asset valuations repeatedly require renewed monetary support, Chancellor’s warning becomes increasingly difficult to ignore.

The Closing Line

The great irony of the post-2008 era may be this:

The policy designed to prevent the last crisis helped construct the fragility behind the next adjustment.

The rescue did not eliminate Creative Destruction.

It delayed it.

And by delaying it, we may have increased the amount of destruction required before the next great period of creation can begin.

One of the most important charts I have seen recently has almost nothing to do with stocks, bonds, interest rates or real estate.

It is the long-term growth in worldwide patent activity.

And there is one important detail that makes this chart much more meaningful:

It is plotted on a logarithmic scale.

Why the Log Scale Matters

Most people are used to normal charts.

On a normal chart, equal vertical distances represent equal numerical increases.

A move from 10 to 20 looks very different from a move from 1 million to 2 million because the absolute numbers are so different.

A logarithmic chart looks at growth differently.

It gives similar visual weight to similar percentage changes.

So: 10 → 20, 100 → 200, 1 million → 2 million are all treated as comparable moves because each is a doubling.

That makes log charts extremely useful when examining long periods of compounding.

A normal chart tells us mostly how large something has become.

A log chart helps tell us whether it has been growing at a persistent compounded rate.

If something grows exponentially, it often curves sharply upward on a normal chart.

But on a logarithmic chart, sustained exponential growth appears much closer to a straight rising line.

That is what makes this patent chart so interesting.

It is not merely telling us that there are more patents today than there were 100 years ago.

It is suggesting that humanity’s recorded inventive activity has been compounding across generations.

The Signal

At the same time, several of the postwar era's great growth engines are weakening.

Population growth is slowing.

Credit growth is becoming increasingly constrained by already enormous debt burdens.

Asset prices in many economies have risen far beyond the incomes required to support them.

Those are classic characteristics of a mature Economic Autumn 🍂 approaching the possibility of Economic Winter ❄️.

Yet underneath the financial system, something very different continues to happen.

Humanity keeps innovating.

Artificial intelligence is advancing.

Robotics is improving.

Solar and energy storage continue expanding.

Biotechnology is progressing.

Computational power continues spreading.

Advanced materials, nuclear technologies and automation are developing simultaneously.

The financial cycle may be aging.

The innovation cycle is not.

The Economic Season

Economic Autumn is dominated by financialization.

Credit increasingly flows toward existing assets.

Real estate appreciates faster than incomes.

Financial claims multiply.

Leverage rises.

Eventually, incomes can no longer service those claims.

Economic Winter begins when those accumulated financial promises must be written down, restructured or destroyed.

But this is where an important distinction must be made:

A collapse in financial claims is not necessarily a collapse in productive knowledge.

A house can fall 40% in price without disappearing.

A stock can fall 70% without destroying the technology underlying the company.

Debt can default while scientific knowledge remains intact.

The financial structure can contract while civilization’s productive capability continues advancing.

Historical Context

This is deeply Schumpeterian.

🔥 Creative Destruction does not mean destruction for its own sake.

It means that old economic structures are displaced by superior technologies, businesses and methods of production.

Railways displaced older transport systems.

Electricity transformed manufacturing.

Automobiles reorganized cities.

Computers transformed information processing.

The Internet created an entirely new economic infrastructure.

Today AI, robotics, biotechnology and distributed energy may be building the foundations of the next transformation.

Each technological generation becomes an input into the next.

That creates something financial markets lack: a knowledge ratchet.

Financial wealth can disappear.

Knowledge generally accumulates.

Why Innovation Can Survive Financial Crisis

This is one of the most important insights in the chart.

Financial capital is cyclical.

Asset prices rise and fall.

Credit expands and contracts.

Banks lend aggressively and then retrench.

But knowledge behaves differently.

Once humanity knows how to build a transistor, sequence DNA, manufacture a solar cell or train a neural network, that knowledge does not simply vanish because the economy enters recession.

The rate of deployment may slow.

Funding may become harder.

Weak companies may disappear.

But the accumulated knowledge survives.

That is why civilization can experience severe depressions and still emerge with a larger stock of useful knowledge than before.

The Human Consequence

This may also change how we think about demographics.

The conventional argument says that slower population growth must permanently reduce economic growth.

That assumes output remains primarily dependent on the number of workers.

But technology changes the equation.

A farmer with machinery produces what once required dozens of workers.

A factory filled with robotics requires fewer people per unit of output.

A researcher using artificial intelligence may eventually possess the intellectual leverage previously available only to an entire department.

The critical variable therefore becomes less:

How many workers do we have?

and increasingly:

How much productive capability does each worker command?

That distinction could define the next LongWave.

What Comes Next

The extraordinary possibility is that several major constraints may be weakening at the same time:

🧠 AI attacks the information constraint.

⚡ Solar, storage, nuclear and potentially fusion attack the energy constraint.

🤖 Robotics attacks the labour constraint.

🧬 Biotechnology and advanced materials attack biological and material constraints.

Combine them and the next economic system could produce vastly more with fewer people and less dependence on continuous debt expansion.

This is why I increasingly believe Economic Winter should not automatically be interpreted as technological decline.

Winter may instead be the period during which an obsolete financial architecture is forced to adjust to a radically more productive technological foundation.

Destruction and creation can occur simultaneously.

What Would Prove This Wrong?

The thesis is falsifiable.

I would become less confident if we saw a sustained multi-decade deterioration in:

• scientific discovery,

• patent activity,

• productivity-enhancing investment,

• energy technology,

• computation,

• robotics,

• biotechnology,

• and new-company formation.

Patent counts themselves are not perfect.

Patent laws change.

Countries differ in filing practices.

China has contributed enormously to recent filing growth.

Companies sometimes file defensively or strategically.

So patents should be treated as one proxy for humanity’s expanding stock of knowledge—not as definitive proof by themselves.

But the broad pattern remains important.

The Closing Line

The great mistake of the coming Economic Winter may be confusing the destruction of yesterday’s wealth claims with the destruction of humanity’s ability to create tomorrow’s wealth.

🍂 Autumn accumulated the claims.

❄️ Winter clears the excess.

🌱 Spring grows from the technologies developing underneath it.

And the log chart shows why.

A normal chart shows how big innovation has become.

A log chart helps reveal whether it has been compounding across generations.

That is Kondratieff’s LongWave meeting Schumpeter’s Creative Destruction.

And the seeds of the next Spring may already be growing beneath the snow.

⚠️ The Economic Seasons Model Disclosure / Disclaimer

Disclosure

The Economic Seasons Model is a research and educational framework designed to study the Kondratieff LongWave, Kuznets Cycle, business cycle, credit cycle, financial markets, valuation, monetary conditions, debt, momentum and investor sentiment.

The model and any asset-allocation observations published in connection with it represent macroeconomic research and are intended to illustrate how different asset classes may behave under various economic and financial conditions. They are not individualized investment recommendations.

Investment decisions ultimately depend upon each investor’s objectives, financial circumstances, risk tolerance, time horizon, liquidity needs, patience and discipline. Readers should conduct their own research and, where appropriate, consult qualified financial, tax and legal professionals before making investment decisions.

Disclaimer

The Economic Seasons Model and The Economic LongWave are provided for informational and educational purposes only. Nothing published herein constitutes investment, financial, legal or tax advice, nor should any material be interpreted as an offer, solicitation or recommendation to purchase, sell or hold any security, investment, asset class or financial product.

Any model portfolio, asset allocation, market outlook, valuation assessment or investment scenario discussed is illustrative in nature and does not take into account the circumstances, objectives or risk tolerance of any particular investor.

Statements that are not historical facts may constitute forward-looking statements. Such statements represent my judgment, opinions and expectations as of the date published and are based upon information and assumptions believed to be reasonable at that time. Forward-looking statements are inherently uncertain and subject to economic, financial, political, technological and market risks. Actual outcomes may differ materially from those anticipated.

Markets and economic conditions change. Accordingly, my views, assumptions, model readings and conclusions may change as new information becomes available. There is no obligation to update previously published forecasts, opinions or model conclusions.

Historical relationships, valuation measures, market cycles and past performance do not guarantee future results. No economic model, investment framework or forecasting methodology can predict markets or economic conditions with certainty. Investments may rise or fall in value, and investors may lose some or all of their invested capital.

Data used in the Economic Seasons Model may be obtained from third-party sources believed to be reliable, but its accuracy, completeness and timeliness cannot be guaranteed.

Readers should independently evaluate any investment decision and consult a qualified professional where appropriate.

David Ricardo (British economist and politician; his work included ideas like comparative advantage, the labour theory of value, and economic rent) saw something more than 200 years ago that modern economies still struggle to confront:

Trade creates wealth. Land captures part of it.

Build a factory.
Invent a product.
Hire workers.
Ship goods across an ocean.

You have created something new.

But own the land underneath that factory—or the land around the growing city—and you can collect part of that rising prosperity without producing the innovation itself.

That is economic rent.

And here is the paradox of the modern economy:

We often tax and restrict production, while simultaneously subsidizing and protecting asset values.

Tariffs protect domestic producers.
Income taxes penalize labour.
Corporate taxes reduce returns on productive investment.

Meanwhile, land and housing receive enormous structural support through mortgage credit, tax preferences, zoning restrictions, government guarantees, and political resistance to falling prices.

Why?

Because the political incentives are asymmetric.

A cheaper imported appliance might save millions of households $50 each.

But nobody organizes a political movement around the cheaper toaster.

A 30% decline in housing prices is very different.

It immediately affects homeowners, mortgage lenders, banks, municipalities, developers, pension funds, and governments.

🏠 Asset inflation creates concentrated winners.
🛒 Cheap goods create dispersed benefits.

Concentrated interests organize.

Dispersed consumers rarely do.

That distinction matters most late in the Economic LongWave.

During Economic Spring 🌱, capital tends to flow toward rebuilding, infrastructure, productivity and new technologies.

During Economic Autumn 🍂, increasingly sophisticated financial systems learn how to capitalize future income streams into higher asset prices.

Credit expands.

Land values rise.

Property becomes collateral.

Higher collateral supports more borrowing.

More borrowing pushes land prices higher.

Eventually the economy begins rewarding the ownership of scarce assets more aggressively than the creation of productive capacity.

That is the transition from industrial capitalism toward financialization.

And it creates a dangerous political trap:

Governments become increasingly afraid to let asset prices fall because the financial system has become dependent on those inflated valuations.

This is where Ricardo meets Minsky—and ultimately Schumpeter.

Ricardo warned about economic rent.

Minsky explained how rising collateral values encourage increasingly fragile debt structures.

Schumpeter explained why old economic arrangements must eventually be dismantled before new productive systems can emerge.

🔥 Creative Destruction is not merely about replacing technologies.

Sometimes it means replacing the institutions, incentives and capital structures that protected the previous economic era.

That may become one of the defining questions of the coming Economic Winter ❄️:

Do governments continue protecting yesterday’s asset values—or begin directing capital toward tomorrow’s productive economy?

Because the next great LongWave expansion will probably not be built by making existing houses, land and financial claims ever more expensive.

It will be built through AI, robotics, advanced energy, biotechnology, decentralized systems, advanced manufacturing and entirely new industries.

🌱 The seeds of the next Spring are productive.

The challenge is allowing capital to leave the old economy and reach them.

Perhaps the real lesson from Ricardo is therefore much bigger than trade:

An economy becomes unhealthy when it rewards owning yesterday more than building tomorrow.

The Hook

Solar energy offers a useful lesson in why technological revolutions are so difficult to recognize while they are happening.

For decades, people easily dismissed solar.

It was expensive.

Its contribution to global energy production was statistically tiny.

Its limitations were obvious.

Anyone looking only at the existing energy system could reasonably conclude that solar would remain marginal.

Then the compounding continued.

And continued.

And continued.

By 2025, global solar generation had reached roughly 2,811 terawatt-hours.

From 2020 through 2025, solar generation compounded at approximately 26.7% annually.

That leads to an extraordinary thought experiment.

If solar simply maintained its 2020–2025 growth rate, its annual output would mathematically equal the energy scale of the entire world economy by roughly 2043.

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Some charts show a trend.

And then there are charts that quietly show the economy's structure may be changing beneath us.

The chart above belongs in the second category.

In 1955, a solar cell cost roughly $1,785 per watt. By 2025, the figure shown here is approximately $0.13 per watt.

That represents a price decline of roughly 99.993%.

More important than the absolute decline is its shape.

On a logarithmic scale, solar-cell prices have followed a long-term exponential decline remarkably closely. The trendline on this chart implies approximately 12% annual price deflation, equivalent to prices roughly halving every five years.

That does not mean the trend can simply be extrapolated indefinitely. Nor does it mean solar solves every energy problem.

But viewed through the Economic LongWave, it may be telling us something much more important:

One of civilization’s most important inputs—energy—is undergoing technological deflation.

And it is happening at precisely the time when several other exponential technologies are beginning to converge.

That combination deserves our attention.

The Hook: Four Hours of Sunlight

Start with a thought experiment.

The Earth intercepts roughly 174,000 terawatts of solar power continuously.

Integrated over a day, that is roughly 4.2 million terawatt-hours of incoming solar energy at the top of the atmosphere.

Now imagine a future world of 9 billion people, not living at today’s global average standard of living, but consuming energy at approximately today’s high American level.

That civilization might require roughly 2,500 exajoules of primary energy annually, depending on precisely how we define and measure energy consumption.

Yet the Sun delivers an equivalent quantity of raw energy to Earth in only roughly four hours.

Think about what that means.

The physical energy required for billions of people to become substantially wealthier exists in extraordinary abundance.

The problem is accessing it.

For most of human history, that distinction hardly mattered.

Today it increasingly does.

The Signal: A 70-Year Collapse in the Cost of Solar

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The political polarization spreading across the Western world may be telling us something much deeper than left versus right. It may be evidence that the economic regime built during the great Financialization era is reaching its limits.

Konstantin Kisin’s recent discussion on The Diary of a CEO is ostensibly about immigration, political polarization, capitalism, socialism, energy, climate change and artificial intelligence.

But viewed through the Economic Seasons Model, I think the conversation is really about something larger:

What happens politically when an economic system stops delivering rising living standards, affordable ownership and confidence in the future?

That is the question that matters.

Kisin warns that when economic stagnation combines with social and cultural instability, the probability of conflict and civil unrest rises. Importantly, he does not say that violence is inevitable; he says societies can still change course.

I believe he is identifying a real phenomenon.

But I would take the argument one step further.

Kisin is describing many of the political symptoms of the transition from 🍂 Economic Autumn toward ❄️ Economic Winter.

The Most Important Comment in the Entire Conversation

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The chart above should make every serious investor uncomfortable.

According to the Advisor Perspectives composite of four major U.S. stock-market valuation measures, the market ended July 2026 at roughly 176% above its long-term geometric mean.

That is not merely expensive.

It is historically extreme.

The composite includes:

• Crestmont P/E

• Cyclically Adjusted P/E

• Q Ratio

• S&P Composite relative to its long-term regression trend

Individually, each measure has limitations. Taken together, however, they tell a powerful story.

The U.S. stock market is trading at valuation levels that exceed those seen around several of the most famous speculative peaks in modern financial history.

The late 1920s.

The late 1960s.

The technology bubble of 2000.

The post-pandemic speculative surge.

And yet this presents one of the hardest problems in professional money management:

Extreme valuations tell you risk is high. It does not tell you when the market will fall.

That distinction separates intelligent risk management from simply predicting crashes.

I learned that lesson personally.

I recognized the stock market was extremely overvalued by the late 1990s. But identifying valuation risk and identifying the exact market top are two entirely different disciplines.

The bubble continued.

Momentum remained strong.

Liquidity remained plentiful.

Investors became increasingly convinced that the old valuation rules no longer mattered.

Eventually they mattered enormously.

That experience produced one of the central principles behind the Economic Seasons Model:

Valuations measure risk, not timing.

So how should a money manager operate when valuations reach levels like those we see today?

The answer is not simply “sell everything.”

Instead, gradually change the portfolio's objective.

When valuations are reasonable, the primary objective may be maximizing return.

When valuations become historically extreme, the objective increasingly becomes:

preserving capital, maintaining liquidity, controlling leverage, and preparing for the opportunities that eventually emerge from dislocation.

This is how I would think about it.

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Ray Dalio’s Warning: AI May Be the Revolution That Survives the Bubble

The technology can change civilization while investors still lose fortunes buying it at the wrong price

Ray Dalio recently gave one of the clearest explanations I have heard of the strange position investors find themselves in today.

Artificial intelligence may be one of the most important technological revolutions of our lifetimes.

And AI may simultaneously be helping create one of the great investment manias of our lifetimes.

Those statements are not contradictory.

In fact, financial history suggests they frequently occur together.

That is the paradox investors need to understand.

The greatest bubbles are often built around something that is genuinely revolutionary.

Railroads were real.

Electricity was real.

Automobiles were real.

Radio was real.

The internet was real.

And artificial intelligence is real.

But there is an enormous difference between correctly predicting a technology's future and correctly valuing the financial assets tied to it.

That distinction may become enormously important over the next several years.

Dalio Agrees With Grantham: The Classic Signs Are Appearing

During the interview, Dalio is asked about Jeremy Grantham’s warning that America may be experiencing an enormous AI-driven investment bubble.

Dalio’s response is essentially:

Yes. The classic signs are there.

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One of the most useful lessons in financial history comes from a real-estate bubble almost two centuries ago.

It wasn’t Toronto in 1989.

It wasn’t Japan in 1989.

It wasn’t America in 2006.

It was Chicago in the 1830s.

What happened there offers an extraordinary lesson for anyone trying to understand today’s global real-estate market.

Chicago ultimately became one of the great economic success stories in American history.

The city became a transportation centre, industrial powerhouse, financial centre and gateway between America’s agricultural interior and the Great Lakes.

The optimists were right about Chicago’s future.

Yet investors who bought land near the peak of the boom could still suffer devastating losses.

That apparent contradiction is the lesson.

The Chicago Boom

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Why You Should Be Worried About Your Money: The Fiscal Endgame of the Fourth LongWave

Jonathan Wellum’s recent interview on The Marc Patrone Show is important because it describes, in very practical terms, what may become one of the defining financial problems of the final stage of the Fourth Kondratieff LongWave.

His central concern is straightforward: Western governments have spent decades accumulating debts and financial promises that are becoming increasingly difficult to finance without either much higher taxes, much lower spending, significantly stronger economic growth, or continued monetary intervention.

The United States is now approaching roughly $40 trillion in federal debt, while future commitments tied to Social Security and other programs are vastly larger. Canada faces its own version of the problem, but with an additional weakness: too much capital has flowed into housing and financial assets and too little into productivity-enhancing investment.

The question is no longer simply whether debt is high.

The more important question is:

Can the productive economy underneath all of these financial promises continue to support them?

That is where Wellum’s argument becomes highly relevant to the LongWave.

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Canada has entered extraordinary valuation territory.

As of July 2026, Canadian equity market capitalization has risen to approximately 224% of GDP.

That is not merely expensive.

It represents the highest valuation reading in the history of this series, exceeding the approximately 214% level reached during the 1999 technology bubble.

At first glance, the conclusion appears obvious:

Sell the market.

But that would misunderstand one of the most important lessons I learned managing capital.

Valuation tells us risk. It does not tell us timing.

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Global collateral condition: 🟧 Stalling

Economic Winter signal: active and broadening, but not yet globally confirmed in nominal terms.

The latest available BIS country series now includes Q1 2026 for nine of the 11 tracked markets. The Netherlands and Sweden remain at Q4 2025 in the selected series available today. Dallas Fed has also released its Q1 2026 International House Price Database, which includes house prices and personal disposable income for 25 countries. (Federal Reserve Bank of Dallas)

The central finding is:

Only 27.3% of the tracked markets are negative year over year in nominal terms, but 36.4% are already falling over both the latest three-month and six-month windows.

That means the annual numbers still understate the deterioration in current momentum.

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The Economic LongWave AI Insight

Welcome to The Economic LongWave AI Insight, where artificial intelligence is used as a research assistant to test economic history, debt cycles, monetary policy, demographics, real estate, and emerging technology against the framework of the Economic Seasons Model.

The objective is not to predict every market turn. It is to identify the larger forces shaping the cycle, separate short-term noise from long-term structural change, and help clients understand where risk is building and where the next opportunities may emerge.

Each edition combines historical precedent, current data, and forward-looking analysis to explore the transition from Economic Winter ❄️ through Schumpeter’s Creative Destruction 🔥 and ultimately toward the foundations of the next Economic Spring 🌱.

Canada is unlikely to reproduce any historical episode exactly. Its most probable path is a hybrid:

A 2008-style housing and credit adjustment at the beginning, followed by a Japan-like period of balance-sheet repair, weak real growth, and financial repression.

A full 1930s depression is possible only under severe policy failure or a major external shock. Hyperinflation is considerably less likely than a long debt-deflationary stagnation accompanied by periodic currency depreciation and elevated costs for essentials.

Probability-weighted comparison

The most likely sequence is therefore:

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Jeremy Grantham’s latest warning is easy to misunderstand.

The headline says: “I’m Selling. The Crash Is Already Here.”

Most people will hear that and immediately reduce it to a market call.

They will ask:

“Is he bearish on AI?”
“Is he saying Nvidia is a short?”
“Is he calling the top?”
“Is this another billionaire doom prediction?”

That misses the point.

Grantham is not saying AI is fake.

He is saying the opposite.

He believes artificial intelligence is one of the defining technologies of the modern era, comparable to the railroads and the internet. He says great bubbles do not usually form around worthless ideas. They form around the most important ideas, because those are the ideas people can most easily extrapolate into infinity.

That is the key.

The greatest bubbles are not built on nothing.

They are built on truth carried too far.

And that is exactly how LongWave Autumn ends.

The LongWave Context: Autumn Always Mistakes the Future for an Asset Class

In Kondratieff’s LongWave framework, the final stage, Autumn, is the age of financialization.

Autumn is not the beginning of prosperity.

It is the capitalization of past prosperity.

It is when societies stop building wealth primarily through production and begin manufacturing the appearance of wealth through:

• Falling interest rates

• Rising asset values

• Expanding credit

• Financial engineering

• Speculative narratives

• Concentrated market leadership

• Leverage disguised as confidence

This is why late Autumn always feels brilliant at the top.

The towers are the highest.
The markets are richest.
The billionaires are most visible.
The promises are largest.
The technology appears miraculous.

But beneath the surface, the system is becoming fragile.

Autumn says:

“The future is so bright that any price is justified.”

Winter answers:

“No. Price still matters.” ❄️

That is Grantham’s argument in one sentence.

Grantham’s Core Insight: The Technology Can Win While Investors Lose

The most important idea in the transcript is this:

AI can change the world, and AI investors can still lose a fortune.

That sounds contradictory to most people, who confuse technological success with investment success.

They are not the same thing.

Railroads changed the world.
Railroad investors were often destroyed.

The internet changed the world.
Dot-com investors were often destroyed.

Amazon inherited the retail world, but its stock fell roughly 90% from its 2000 peak before becoming one of the great companies of the modern era. Grantham uses Amazon as the perfect example: the idea was right, but the price was wrong.

That is the essence of Schumpeter’s creative destruction. 🔥➡️🌱

The innovation survives.

The capital structure does not.

The productive technology moves into the next economic spring.

The speculative investors who overpaid in Autumn get wiped out before the renewal arrives.

This is why the phrase “AI is real” does not settle the market question.

Of course, AI is real.

The real question is:

How much of the next 20 years of productivity has already been pulled forward into today’s stock prices?

That is where Grantham becomes dangerous to the consensus.

Bubbles Are Not Usually Built on Lies. They Are Built on Overextrapolated Truths

Grantham’s historical framework is very clear.

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Quebec Composite, detached. Solid = the year-over-year number everyone watches (+3.5%).

Dashed = the last three months, annualized (−3.0%). The red is the gap.

Two more segments tell a sharper story. Full breakdown in the paid edition. 👇

The Last Cove Is Draining

For three years, the tide first went out at the crowded beaches. Toronto’s water pulled back in 2022 when rates hit. Vancouver followed. The condo flats emptied. But one cove stayed full the whole time — Quebec, fed by a scarcity of listings so severe that prices kept climbing while the rest of the country argued about a correction.

This month, for the first time, the water in that last cove started to recede again.

Here’s what the data actually shows — in plain terms:

1. The headline still looks strong. Quebec home prices are at record highs. Year-over-year growth remains positive across all detached segments — between roughly +3.5% and +7%. If you only read the annual number, nothing is wrong.

2. The forward-looking number disagrees. When you measure the most recent three months and annualize them — a faster, twitchier gauge that tends to move before the annual figure does — two of three detached segments have gone negative. One-storey: −1.1%. Composite: −3.0%. The gap between the two readings is the widest it’s been since the 2022 rate shock.

3. Two-storey homes are the holdout-within-the-holdout. Their forward read is still positive (+3.2%), but even there, the gap is closing. The strength is narrowing to one corner of the market.

4. This isn’t weakness “spreading” — it’s the last leader fading. The early-hit markets, Toronto and Ontario, are now recovering. Quebec is the opposite story: a market that never corrected, finally losing its forward momentum at the top.

5. The real cause sits underneath all of it. Quebec’s own real estate association has been blunt: households are hitting the ceiling of how much they can borrow. When the buyer simply can’t qualify for more, even a market with no listings runs out of road.

Now the lens. There’s an old framework — the long economic wave, mapped in seasons across decades — that treats moments like this not as isolated news but as a transition. In that map, we’ve spent years in the “Fall” of a credit cycle that began around 1980: the late, top-heavy, debt-financed stretch where prices detach from incomes. The framework’s whole claim is that the last strong market turning is exactly what the handoff from Fall toward Winter looks like — not a crash, but the moment the forward indicators quietly cross under while the headline still glows.

I want to be careful here: Winter is not confirmed. The honest test is simple — if Quebec’s three-month line turns positive again next quarter, that was noise, and we’ve seen it head-fake before. The framework earns its keep only if the forward number stays under and the annual number eventually catches up to it.

THE VERDICT

Signal: Quebec’s leading indicator has gone negative in 2 of 3 detached segments while prices sit at record highs.
Read: The last strong market is decelerating, not collapsing. “Resilient” is true on the rear-view data and expiring on the forward data.
Watch: Does the 3-month line stay negative into Q3? If yes, YoY catches down. If no, head-fake.
Status: Fall→Winter transition — unconfirmed.

The paid breakdown goes under the hood: the full segment charts, the method behind the 3-month annualized gauge, a scenario table for how the next two quarters resolve, and the transmission sequence — how a momentum break in one province’s detached homes actually feeds the national number. If you want the version you can act on, it’s there.

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Introducing the Weekly Credit-Stress Radar

One of the most important lessons from financial history is that credit problems rarely begin with a headline. They usually begin quietly, beneath the surface, in the parts of the system most exposed to leverage, refinancing risk, and deteriorating collateral values.

That is why I am launching a new subscriber service: the Weekly Credit-Stress Radar.

Each week, I will track key banking and credit indicators to gauge whether the financial system is stabilizing, weakening, or moving closer to a more serious credit event. The focus will begin with the U.S. and Canadian banking systems, because these are two of the most important transmission channels between interest rates, real estate, household debt, business lending, and the broader economy.

The radar will monitor areas such as U.S. regional banks, Canadian bank performance, relative strength versus the broader market, bond-yield pressure, commercial real estate stress, mortgage-renewal risk, and household-credit conditions.

The purpose is not to predict every market move. The purpose is to identify early warning signals before they become obvious.

In the LongWave framework, banking stress is especially important because credit is the bridge between Economic Autumn and Economic Winter. During the late stages of a debt cycle, markets can still appear strong while the underlying credit structure begins to weaken. That is often when the most important signals appear.

For free readers, I will provide the broad conclusion and overall alert level.

For paid subscribers, the full weekly radar will include the detailed breakdown, charts, relative-performance signals, risk interpretation, and the full LongWave credit-cycle reading.

This is designed to be a practical tool: simple enough to follow, but serious enough to matter.

Weekly Credit-Stress Radar

The banking system continues to absorb higher-for-longer interest rates reasonably well. Equity investors remain constructive toward both U.S. regional banks and Canadian banks, but long-term bond yields and refinancing pressure remain the principal fault lines. No systemic banking stress is visible, yet several credit-cycle indicators remain elevated.

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