Is this a positive development, a genuine widening of access to markets and asset classes that used to be reserved for the wealthy or the specialist? Or is it a symptom of something less comfortable, where speculation is quietly replacing the patient, long-term saving that used to be the foundation of financial security.

What’s actually changed

The clearest evidence of this shift comes from prediction markets, which have gone from a niche curiosity to a genuinely large financial industry in under a year. Combined monthly trading volume across the two biggest platforms, Kalshi and Polymarket, rose from under $5 billion in September 2025 to around $24 billion by April 2026, according to a Pew Research Center analysis of data from The Block. To put that in context, that figure already exceeds the roughly $14 billion wagered each month through every legal sportsbook in the United States combined.

What makes this growth different from a passing fad is where it is happening. In March 2025, Robinhood, an app used primarily for everyday stock trading and saving, partnered with Kalshi to bring prediction markets directly to its 27 million funded brokerage accounts, according to research from TRM Labs. Trading tied to the Super Bowl alone generated more than $1 billion in volume on the platform. Speculation is no longer confined to specialist apps that people seek out deliberately. It now sits inside the same interface people use to manage their everyday savings and investments, a single tab away from a stocks and shares account rather than a separate decision entirely.

Trading cards tell a strikingly similar story, even though the objects themselves could not be more different. What used to be a hobby built on nostalgia and collecting has developed the infrastructure of a formal financial market. Grading services authenticate and rate the condition of individual cards, auction houses track and publish sale prices, and websites like Card Ladder and PriceCharting now function as something close to a stock ticker for cardboard. A first-edition Base Set Charizard in the highest grade condition currently trades for somewhere between $168,000 and $170,000, following a record sale of $550,000 at Heritage Auctions in December 2025.

Estimates of the total market size vary enormously depending on which analyst you ask, ranging from roughly $9 billion to over $50 billion, which is itself telling. When a market has grown so quickly that even specialists cannot agree on its scale, that is usually a sign something structural has changed rather than simply a hobby growing in popularity.

What links prediction markets and trading cards, despite having nothing else in common, is that both have acquired the tools that used to be exclusive to formal investing. Real-time pricing, authentication, easy resale and published indices used to be the preserve of stocks, bonds and property. Now they exist for football outcomes and cartoon characters too.

Why it’s happening

Part of the explanation is straightforwardly financial. For much of the past five years, savers in both the UK and US have watched inflation quietly erode the value of money sitting in ordinary savings accounts. According to research from Finder UK, inflation exceeded the average UK cash ISA rate in 51 of the past 60 months, meaning savers lost real value on their money roughly 85 per cent of the time. There have been modest improvements this year, but it follows a long stretch in which keeping money in a savings account felt like a losing proposition.

The behavioural and structural changes matter just as much. Trading cards used to be hard to sell quickly at a fair price, because a buyer could never be fully sure of a card’s condition or whether it was genuine. Grading services solved that by standardising and verifying both, turning cards into something that can be priced, tracked and sold as easily as a share.

Prediction market platforms have made speculation feel as frictionless as checking a savings balance, arriving through apps people already trust rather than requiring a deliberate trip to a specialist platform.

Price transparency and easy access to formerly niche asset classes represent democratisation, opening up markets and investment behaviour that used to require capital, connections or specialist knowledge most people simply did not have. There is also a more troubling reading, in which the line between considered, long-term investing and short-term speculation has become harder for ordinary users to see, precisely because the platforms offering both now look and feel identical.

Opportunity or warning sign?

A 2026 survey of UK retail investors by J.P. Morgan Personal Investing found that risk appetite has risen meaningfully year on year, with younger investors reporting the highest confidence in future returns of any age group. For a generation with a longer investment horizon than their parents or grandparents, a higher tolerance for risk is not inherently a problem, and early exposure to a wide range of asset classes, whether that is cryptocurrency, prediction markets or alternative collectibles, can be a legitimate part of building financial literacy and long-term wealth.

A January 2026 survey by OKX found that 40 per cent of Gen Z respondents in the United States planned to increase their crypto trading over the coming year, nearly four times the proportion of baby boomers who said the same, with younger respondents citing far higher trust in these platforms than older generations extend to traditional banks.

This can also be seen as a major warning sign. One 2026 study found that among Gen Z investors participating in crypto, prediction markets or sports betting, roughly seven in ten said they were doing so specifically because they felt behind on their financial goals.

This suggests that for a meaningful share of younger people, this is a response to genuine financial pressure, rising housing costs, stagnant wages relative to living costs and a sense that traditional, patient saving is too slow to close a gap that already feels insurmountable. Treated that way, speculation stops being a supplement to saving and starts functioning as a substitute for it, which carries a very different kind of risk. Prediction markets and volatile collectibles do not offer the steady, compounding growth that makes long-term investing effective, and a strategy built around trying to catch up quickly is far more likely to produce large losses than the wealth it is meant to deliver.

Where this leaves us

For a lot of people, engaging in trading cards or prediction markets are a legitimate and even enjoyable part of a wider financial life. The more important question is what it means when a generation that feels priced out of traditional routes to wealth starts treating speculation as a plausible way to catch up. It is increasingly the accessible option in a way patient investing is not, arriving through the same apps, with the same ease, and often with the same language of opportunity attached.

Until saving and compounding growth feel like it offers a realistic path forward, this trend is unlikely to slow down. The danger for those chasing a shortcut is that the assets most easily reached this way are also among the most volatile, meaning the gap they are trying to close could just as easily widen.

💼 Unpacked

Prediction market: a platform where users buy and sell contracts tied to the outcome of a real-world event, such as an election or a sports result, with the contract’s price moving to reflect the perceived likelihood of that outcome happening.

Real return: the actual growth in the value of money once inflation has been accounted for. A savings account paying 4 per cent interest during a year of 3 per cent inflation delivers a real return of only around 1 per cent.

Liquidity: how easily an asset can be bought or sold without affecting its price. Cash is highly liquid; a house is not. Trading cards and prediction market contracts have become far more liquid in recent years thanks to grading, authentication and resale platforms.

Speculation: taking on financial risk in the hope of a short-term price movement, as distinct from investment, which typically involves a longer time horizon and a focus on an asset’s underlying value or income.

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Sources

• “Kalshi and Polymarket trading volumes dramatically increase since mid-2025” — Pew Research Center — https://www.pewresearch.org/short-reads/2026/05/27/trading-volume-on-prediction-markets-has-soared-in-recent-months/

• “How Prediction Markets Scaled to $21B in Monthly Volume in 2026” — TRM Labs — https://www.trmlabs.com/resources/blog/how-prediction-markets-scaled-to-usd-21b-in-monthly-volume-in-2026

• “Investing in Pokémon Cards in 2026: The Complete Guide” — PokéItem — https://www.pokeitem.fr/en/blog/investing-in-pokemon-cards-2026-complete-guide

• “What is the average savings interest rate in the UK?” — Finder UK — https://www.finder.com/uk/savings-accounts/inflation-vs-savings

• “Younger investors are more bullish than older generations for 2026” — J.P. Morgan Personal Investing — https://www.personalinvesting.jpmorgan.com/insights/younger-investors-are-more-bullish

• “Survey reveals Gen Z isn’t waiting for boomers as crypto age gap widens” — TheStreet — https://www.thestreet.com/crypto/personal-finance/survey-reveals-gen-z-isnt-waiting-for-boomers-as-crypto-age-gap-widens

• “Over 70% of Gen Z’s Participate in Crypto, Prediction Markets Since Traditional Wealth Paths Seem Out of Reach” — BitKE — https://bitcoinke.io/2026/03/gen-z-participation-in-crypto-prediction-markets/

Featured Image: Trading cards - https://picryl.com/media/a-guest-readies-his-cards-while-playing-a-trading-card-8dd915

Walk down almost any British high street and you will eventually find one. A shop with the lights off, its windows papered over, and a faded sign still advertising a business that disappeared months ago. It has become part of the scenery in a way that would have seemed strange twenty years ago.

What happens next to that unit tells you more about the economy than the closure itself. Sometimes another retailer moves in. Increasingly, the replacement is a charity shop, a café, a salon, an accountant’s office, or nothing at all for years at a stretch. Multiply that across the thousands of premises that have gone the same way over the past two decades, and you are looking at an economy quietly changing shape.

The question worth asking is not really how to bring every shop back. It is what these spaces should be used for now, and who gets to decide that.

The business model

People have not stopped buying things. They have changed where and how they buy them, and that shift has been building for nearly two decades rather than arriving overnight. Online sales made up roughly 3.4% of total UK retail spending back in 2007, according to the Office for National Statistics. By 2025 that figure had settled at 27.4%. That is a structural shift in how a huge share of British consumers shop, built up steadily over almost twenty years.

It helps to think about what a physical shop actually has to pay for in order to survive. Rent, staff wages, energy, stock, insurance, business rates, and the ongoing cost of maintaining a building customers want to walk into, all covered by sales generated from footfall passing that one specific location. An online retailer faces a different equation entirely. It can serve customers across the whole country from a single warehouse, without needing a presence on every high street those customers happen to live near. A shop might be perfectly capable of selling half a million pounds of goods a year to loyal local customers, but if a competitor can sell the same goods to the same people without renting two thousand square feet of prime retail space, the economics change regardless of how good the product actually is.

The high street, as it developed through the twentieth century, was really built for an economy defined by physical scarcity. Shoppers needed somewhere to browse a range of products, compare prices, and physically collect what they bought, because there was no other way to do any of it. The internet did not remove the desire to buy things. It removed much of the practical need for that browsing to happen inside a specific building on a specific street, and with it, a lot of the economic logic that kept small retail units viable in every town centre.

Online shopping reduced the amount of physical retail space the country actually needs, rather than killing the high street outright. That distinction matters, because it points toward a surplus of space rather than a simple story of decline, and a surplus can be redirected rather than just mourned.

So what replaces the shop?

Look closely at what has moved into the units that used to house familiar retail chains, and a pattern starts to emerge. Some of it is a genuine sign of adaptation. Some of it points to problems that have not gone away at all.

Charity shops are often treated as one of the high street’s reliable survivors, the retailer of last resort that will always take a lease when a chain pulls out. That reputation is now under strain. British Heart Foundation announced in June 2026 that it would close around 150 of its roughly 640 shops over the following two years, citing rising costs, inflation, and growing competition from resale platforms such as Vinted. Cancer Research UK has been closing shops on a similar scale. Oxfam has been reviewing the future of its network of around 500 shops, with a source telling the Guardian that as many as 100 could close due to falling donations and cheaper secondhand alternatives online; Oxfam itself says it cannot guarantee the future of its shops, while stressing it has no current closure plans. Even charities, which should in theory be insulated from the online-offline argument, are facing a version of the same pressure as everyone else on the street.

Elsewhere the story looks more like adaptation. Cafés, hairdressers, and restaurants have something a warehouse cannot replicate: you have to be physically present to use them. This helps explain why some high streets are shifting from places built around buying goods into places built around services and experiences instead, a genuinely different kind of economy rather than a diminished version of the old one.

Offices tell a more mixed story. Hybrid working has reduced demand for some city-centre office space, while a former shop unit can comfortably become an estate agent, an accountancy practice, or shared workspace instead. The net effect is a high street less dominated by retail and more mixed in what it actually does for visitors.

Then there is housing. Historic England’s 2026 Heritage Investment Prospectus estimates that repurposing existing historic buildings across England, including former mills, warehouses and commercial premises, could deliver up to 670,000 additional homes. That figure points to a contradiction underneath the surplus of empty retail space. Too much of one kind of building in some places, not nearly enough housing in many of the same places. Converting it isn’t a simple fix, though. Planning restrictions, building layouts, conservation rules, and basic financial viability all complicate what sounds straightforward in theory.

Why some streets are thriving while others are not

There is a strong temptation to conclude that shops are closing, so the answer is to turn them into something else and move on. That framing misses something important about how a high street actually functions, and it becomes clearer once you compare high streets directly against one of the retail formats that has kept growing throughout this period: retail parks.

The gap between the two is stark. Savills research shows high street footfall fell by 0.3% in the first quarter of 2026, while retail park footfall rose by 1.3% over the same period. High street vacancy has been running at around 13.4%, compared with roughly 6% on retail parks, according to CBRE data. The gap is largely explained by who is actually making the decisions about how that space is used.

Most retail parks are owned and managed as a single estate by one landlord or investment fund, which can curate which tenants sit next to each other, replace a struggling unit quickly, and set rents that reflect what the whole estate needs to stay full. A typical high street operates under the opposite structure, made up of dozens of separate freeholders, some absent, some holding out for rents the market will no longer support, none individually responsible for how the street functions as a whole. A high street behaves like a network, in that one shop’s success depends partly on the businesses around it, yet almost nobody actually manages it as one connected system.

A second factor sits alongside ownership. Retail parks have concentrated on categories genuinely resistant to online shopping, groceries, DIY, and bulky household goods people want to collect the same day. High streets historically built their identity around browsing categories such as clothing and electricals, which happen to be exactly the categories that shifted online fastest.

None of this means high streets are simply obsolete. It means coordination and tenant mix are doing most of the work in explaining the gap, which is useful to know, because those are problems policy can actually address. Some retail economists and property bodies go further, arguing decline has been accelerated by a business rates system that falls disproportionately on physical premises, and by planning rules slow to keep pace with how buildings are actually used, though this remains a genuinely contested point. The picture isn’t uniformly bleak either: analysis of Valuation Office Agency data by the tax firm Ryan found a net increase of 723 retail premises across England and Wales during 2025, the first sign of stabilisation after years of contraction.

What should actually happen next

Britain does not need to save every high street in the same way. A more useful approach is to make a deliberate choice, street by street, between three realistic paths.

Concentrate investment and coordination on streets with the strongest underlying footfall, using Business Improvement Districts to let a fragmented street function more like the single managed estate that has helped retail parks succeed. Be honest about which streets, particularly those built around clothing and electricals, are not coming back as retail destinations, and streamline planning so they convert faster to housing and community use. And push for business rates reform that eases the burden currently falling disproportionately on physical premises, accepting this is the most contested of the three, since the Treasury has long resisted change on revenue grounds.

The high street that survives the next decade will not resemble the one before online shopping reshaped consumer habits, and treating that as a loss to be reversed is the real risk, not the empty shop on the corner today.

Unpacked

Business Improvement District (BID) — a defined area, usually a town centre or high street, where local businesses agree to pay an additional levy that funds shared improvements such as marketing, events, security, or coordinated management, effectively letting fragmented high streets act more like a single managed estate.

Change of use — the planning term for converting a building from one legal category to another, such as from retail to residential or community use, which usually requires council approval and can involve significant delay or cost.

Business rates — a property tax paid by businesses occupying non-domestic premises, calculated using a “rateable value” based on estimated rental worth, which critics argue falls disproportionately on physical shops compared with online retailers operating from warehouses.

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If you found this insightful, consider sharing with friends or colleagues. For weekly economics-led takes on markets, policy, and macro trends, subscribe to The Fiscal Compass.

You can also read my latest articles on the website, alongside our collection of free economics and personal finance tools.

Website: thefiscalcompass.co.uk

Follow along on social media for concise updates throughout the week:

Instagram: @thefiscalcompassofficial

X: @FiscalCompass.

LinkedIn: Vinay Meisuria

Sources

1. Office for National Statistics, “Internet sales as a percentage of total retail sales (ratio) (%)”, Retail Sales Index time series J4MC — https://www.ons.gov.uk/businessindustryandtrade/retailindustry/timeseries/j4mc/drsi

2. British Heart Foundation, “BHF proposes 150 shop closures to maintain sustainable retail network” — https://www.bhf.org.uk/what-we-do/news-from-the-bhf/news-archive/2026/june/bhf-proposes-150-shop-closures-to-maintain-sustainable-retail-network

3. Surrey Live / The Guardian (via syndication), “100 shops could go as managers consider 500 branches and three warehouses” — https://www.getsurrey.co.uk/news/uk-world-news/100-shops-could-go-managers-34494283

4. Historic England, “Historic England Reveals 20 Historic Sites With the Potential to Become New Homes”, Heritage Investment Prospectus 2026 — https://historicengland.org.uk/whats-new/news/heritageinvestmentprospectus2026/

5. Savills UK, “Spotlight: Shopping Centre and High Street – Q2 2026” — https://www.savills.co.uk/research_articles/229130/390116-0

6. NovaLoca, “Retail parks: unexpected winners in the UK property market?”, citing CBRE vacancy data — https://www.novaloca.com/blog/index.php/2026/08/18/retail-parks-unexpected-winners-uk-property-market/

7. Nation.Cymru, “Shop numbers return to growth after years of decline, say experts”, citing Ryan analysis of Valuation Office Agency data — https://nation.cymru/news/shop-numbers-return-to-growth-after-years-of-decline-say-experts/

Featured Image: Worcester High Street, Wikimedia Commons

That number tends to dominate the headlines, but it misses what actually matters. A hot summer is temporary. What this one has done is put pressure on three systems that were already fragile, each failing in its own way. Farmers have discovered how little protection exists when a harvest goes wrong. Water companies and government have been reminded, for the third time in five years, that Britain has not built enough capacity to store water for dry years. And workers have found out there is no legal limit on how hot a workplace can get. None of these gaps are new. The heat has simply made them impossible to ignore.

The uninsured harvest

British farming has had an unusually early and unusually painful summer. Slightly over half of the UK wheat crop had already been brought in by the end of July, along with 95% of the winter barley harvest, both well ahead of schedule because the dry conditions left farmers with little choice but to harvest early rather than risk further losses. The Energy and Climate Intelligence Unit, a climate-focused think tank, estimates that the drought could wipe as much as £390 million off the usual turnover of arable farmers this year, cutting total yield by roughly 2.5 million tonnes. Vegetable growers who rely on irrigation have struggled too, and potatoes have been particularly exposed, since they need moist soil at the point of harvest to avoid bruising and other damage that makes them unsellable.

What makes this more than a bad year for farmers is what happens next if a season like this one repeats. The UK has no comprehensive national crop insurance scheme, unlike many of its European neighbours. Roughly 80% of the financial risk from events like this drought is currently uninsured, which means it falls directly on the people growing the food rather than being spread across an insurance market or absorbed by government support. A single poor harvest is survivable for most farms. Three droughts in five years, which is the pattern Britain is now looking at, is a different proposition entirely, and it starts to look less like bad luck and more like a business model that no longer works reliably.

The government’s response so far has been to loosen some of the rules around environmental subsidy schemes, allowing farmers to use protected grassland as animal feed without losing their payments, and to put £65 million towards helping farms build their own reservoirs and access water more easily during shortages. It is a genuinely useful step, and it comes directly from the existing budget of the Department for Environment, Food and Rural Affairs rather than new money. Whether it goes far enough is a fair question. The National Farmers’ Union has been pushing for a more structural response, essentially a proper mechanism for sharing this kind of climate risk rather than leaving individual farms to absorb it alone. There is a reasonable counter-argument too, one that has been made more explicitly in France, where the agriculture ministry has resisted treating drought as an emergency deserving of crisis funding and instead favours subsidised insurance and long-term climate adaptation spending. Both positions accept that the current setup is not working. They disagree on whether the fix is a safety net or a change in how farms are built to cope with dry years from the outset.

For readers who are not farmers, this still matters at the till. When yields fall and costs rise on the farm, that pressure moves down the supply chain, and it tends to arrive in supermarkets months after the harvest itself rather than immediately. Food and drink manufacturers have already absorbed a 39% rise in input costs since 2020, and industry figures have said plainly that they expect the effects of this year’s reduced crops to show up in retail prices into next year rather than right away. A dry July in a field in Cambridgeshire is, in a fairly direct way, a preview of next spring’s shopping bill.

The water system

The second gap this summer has exposed sits with water itself, and it is arguably the more fundamental of the two. England is now in its third drought in five years, and this is the second consecutive year in which one has been formally declared. Reservoir levels currently stand at 69%, which is 11.6% below what would be normal for this point in the year, and they are still falling. That is the context behind the water restrictions now affecting more than 27 million people across the country.

The temptation is to treat this as simply a story about rainfall, but that framing misses the more uncomfortable point being made by the National Farmers’ Union and others close to the issue. Britain gets plenty of rain across a typical year. The problem is that too little of it is being captured and held in reserve for the periods when it does not fall, which means the country ends up exposed every time a dry spell runs longer than a few weeks. This is not really a weather problem so much as an infrastructure one, and infrastructure problems do not fix themselves between one drought and the next.

Solving it properly means building and expanding reservoirs, improving how water companies manage leakage, and investing in storage at a scale well beyond a single farm’s own reservoir. That is expensive, and it takes years rather than months to deliver, which raises the obvious question of who pays for it. Higher water bills are one route, general taxation is another, and requiring water companies to fund it from their own capital investment is a third, each with a different set of winners and losers and a different timeline before anyone sees the benefit. None of those options are especially popular, which is presumably part of why successive governments have found it easier to respond to each individual drought as it happens rather than fund the underlying fix. The risk in continuing that approach is fairly obvious. If droughts keep arriving roughly once every eighteen months, treating each one as a one-off emergency starts to look like a permanent policy rather than a temporary response.

The workplace

The third gap is the one most directly felt by ordinary workers, and it concerns something that might surprise people who assume it was already covered by law. There is currently no maximum legal temperature for a UK workplace. Researchers from the London School of Economics surveyed close to 2,000 UK adults about the June heatwave, when temperatures in London reached 36 degrees, and found that the average worker lost nearly half an hour of working time that week because of the heat. Just over 3.6% of those surveyed did not work at all that week, which across the country adds up to around 24 million lost working hours and an estimated £1.15 billion in cost.

The Trades Union Congress has been pushing for years for a clear legal threshold, one that would require employers to take action once workplace temperatures pass 24 degrees and stop work entirely at 30 degrees, or 27 degrees for jobs involving heavy physical effort. A Green Party MP has now said she plans to introduce legislation along similar lines, arguing that the scientific link between climate change and the severity of heatwaves like this one strengthens the case for a legal standard rather than leaving it to individual employers’ discretion.

The case against a hard threshold is not simply employers being difficult about it, and it is worth taking seriously. Fixed temperature rules are far easier to apply in an office with air conditioning than on a building site, a warehouse floor, or a small shop with no cooling system and no realistic option to send staff home without losing a day’s revenue. Smaller businesses in particular have limited room to absorb either the cost of retrofitting cooling systems or the lost output from stopping work altogether during a heatwave. What is missing from the debate at the moment is any real middle ground, some kind of graduated response that protects workers without simply imposing a single national cut-off that suits large employers far more easily than small ones.

Where this leaves Britain

None of the three gaps covered here were created by this summer. Farming has been underinsured against weather risk for years, reservoir capacity has been falling behind demand for longer still, and workplace heat protection has simply never existed in UK law. What this year did was apply enough pressure, all at once, to make each weakness impossible to argue around. The government’s response so far has largely taken the form of smaller, faster fixes, subsidy flexibility for farmers and one-off funding for reservoirs, with no legislation yet on workplace temperature. Whether that matches the scale of the problem is something readers can judge for themselves.

With the autumn Budget approaching and climate-driven weather events becoming a near annual feature rather than a rare shock, it is worth asking which of these three gaps the government is most exposed on. Is it farming and food security, water infrastructure, or protection for workers? Where would you put the pressure first?

💼 Unpacked

Crop insurance gap — The difference between the financial losses farmers actually face from events like drought and the amount of that risk currently covered by any form of insurance. In the UK, most of this gap is uninsured and sits directly with the farmer.

Reservoir capacity — The total amount of water a reservoir can hold in reserve for use during dry periods. When capacity has not kept pace with population growth or more frequent droughts, water restrictions become more likely even in a country that receives substantial rainfall overall.

Heat-health productivity threshold — The temperature point above which people become measurably slower or less able to work safely. Research on European economies suggests output per hour drops by around 3% for each additional degree once temperatures pass roughly 30 degrees.

Statutory maximum workplace temperature — A legally binding upper limit on how hot an indoor or outdoor workplace can be before employers are required to act, ranging from providing cooling and rest breaks through to stopping work entirely. No such limit currently exists in UK law.

📣 Support The Fiscal Compass

If you found this insightful, consider sharing with friends or colleagues. For weekly economics-led takes on markets, policy, and macro trends, subscribe to The Fiscal Compass.

Follow along on social media for concise updates throughout the week:

Instagram: @thefiscalcompassofficial

X: @FiscalCompass.

LinkedIn: Vinay Meisuria

Sources

• Hailstone, J. “Economic Cost Of Summer Heatwaves Highlighted In New Research.” Forbes. https://www.forbes.com/sites/jamiehailstone/2026/08/12/economic-cost-of-summer-heatwaves-highlighted-in-new-research/

• “Heatwaves to cost UK economy £4.4bn – but there’s worse yet to come.” Yahoo Finance UK. https://uk.finance.yahoo.com/news/heatwaves-cost-uk-economy-4-103317671.html

• “Record drought lays bare the fragility of the UK’s food system. What now for the industry?” Food Manufacture. https://www.foodmanufacture.co.uk/Article/2026/08/13/uk-drought-leave-future-of-food-production-hanging-in-the-balance/

• “Disastrous drought could leave UK farmers £390M out of pocket.” Food Manufacture. https://www.foodmanufacture.co.uk/Article/2026/08/06/uk-drought-could-cost-farmers-up-to-390m-in-lost-revenue/

• “As temperatures soar, ‘exceptionally serious’ drought imperils UK farmers.” Al Jazeera. https://www.aljazeera.com/news/2026/8/13/uk-drought-imperils-farmers

• “Calm UK Inflation Masks Growing Food Price Risks.” ESM Magazine. https://www.esmmagazine.com/supply-chain/uk-food-inflation-looks-calm-but-drought-could-build-pressure-beneath-the-surface-319354

• “Burnham Signals Concern for UK Farmers With Drought Support.” Bloomberg. https://www.bloomberg.com/news/articles/2026-08-14/burnham-signals-concern-for-uk-farmers-with-drought-support

• “June heatwave cost UK economy over £1bn, study finds.” edie. https://www.edie.net/june-heatwave-cost-uk-economy-over-1bn-study-finds/

Featured Image: rawpixel.com, https://www.lse.ac.uk/granthaminstitute/news/response-to-heatwave/

How big is this pattern, actually?

EasyJet’s deal is worth examining on its own terms first. Apollo’s offer valued the airline at £7.15 a share, having seen off a rival bid from US firm Castlelake after months of back and forth, and the transaction is expected to complete by early 2027.

It is a genuinely large deal by UK standards, but it is far from the largest of the year. That distinction currently belongs to Intertek, the testing and certification group, which agreed to be bought by Swedish private equity firm EQT in a transaction valuing it at £10.6 billion including debt, a 40% premium to where the shares had been trading and reportedly the third-largest take-private in UK corporate history.

Around the same time, energy distribution firm DCC Energy agreed to a £5.7 billion takeover from a private consortium, and FTSE 100 warehouse and logistics group Segro agreed to a £14 billion offer from the American property group Prologis. Taken together with several smaller deals still working their way through, analysts at AJ Bell calculate that takeovers of London-listed firms already in progress this year amount to more than £69 billion, making 2026 the highest-value year for this kind of activity since the pandemic.

What makes this worth a proper explanation is that none of these companies were in obvious distress. Intertek tests products and certifies supply chains for manufacturers and governments in more than a hundred countries, a business with steady, unglamorous demand that has little direct connection to how the UK economy itself is performing. DCC Energy and Segro were both established, profitable FTSE constituents with long operating histories. These were not rescue deals for struggling firms. They were buyers spotting companies they judged to be trading well below what they were actually worth, and moving to take advantage of that gap while it remained open.

It also helps to see how far back this actually goes, because the current wave can look like a sudden news cycle if you only follow the headlines from the past few months. Research from McKinsey found that nearly 200 UK companies were delisted from the London Stock Exchange through private acquisitions between 2016 and 2023, and that only two of them have since returned to public ownership. That is close to two hundred businesses that simply stopped being available for ordinary investors to buy shares in, most of them for good.

Why is this happening now?

The most consistently cited explanation is valuation. UK shares have traded at a persistent discount to their American and European equivalents for several years now, a gap that recent listing reforms in London have so far failed to close in any meaningful way. For a private equity buyer, that discount is precisely the opportunity.

A company’s public share price gives a prospective acquirer something concrete to aim at when they are planning a bid and working out how much value they think they can unlock once the business is out of public hands. When that share price sits well below what a buyer believes the underlying business is genuinely worth, the arithmetic of a takeover becomes hard to resist, particularly when private equity firms are under pressure to put a large amount of raised capital to work.

There is a second, less discussed factor worth understanding too. Once a company is public, it has to answer to shareholders every quarter, publish detailed results, and often manage its strategy around short-term market expectations rather than longer-term plans. Private ownership removes that pressure, at least for a while, giving new owners more room to restructure a business, change its direction, or simply run it more efficiently without a share price reacting to every decision in real time. For a firm like Intertek, whose revenue comes overwhelmingly from outside the UK anyway, that freedom from public market scrutiny can matter more to a buyer than any particular attachment to Britain as a location.

None of this happens in a vacuum, and it is fair to note that UK policymakers are alert to the pattern rather than ignoring it. The government has pushed through reforms intended to make London listings more attractive, including simplified rules for shareholder approvals and changes designed to encourage pension funds to hold more UK equities. Early signs, such as a tripling of IPO proceeds in the first half of 2026 compared with the same period the year before, suggest some of this is having an effect. Whether it can outpace the rate at which existing companies are being bought out and taken private is a genuinely open question.

What does this mean, for you and for UK business more broadly?

For anyone holding shares directly in a company that gets taken private, the immediate effect is usually straightforward and, in the short term, pleasant. Takeover offers typically come with a premium over the recent share price, which is exactly why easyJet’s stock rose on the news of Apollo’s bid. Shareholders who sell into that offer walk away with more than the market had been valuing their shares at the day before.

The less pleasant side is what happens afterwards. Once a company goes private, ordinary investors lose the ability to hold a stake in whatever it becomes next, whether that is a stronger, better-run business or something less successful, because they are no longer able to buy or sell its shares on the open market. For anyone invested in a UK index tracker fund through a workplace pension, which describes a large share of the country, this pattern also means a slow reshaping of what that pension actually owns, as familiar household names quietly disappear from the index over time.

The wider implications for UK business are arguably more significant, even if they are less immediately visible. A shrinking pool of large, listed UK companies makes the London market a less compelling place for the next generation of businesses to consider listing on, and for investors deciding where to put long-term capital. Fewer big listings mean fewer companies pulling in analyst coverage, media attention and investor interest, which in turn keeps valuations lower than they might otherwise be, feeding the very conditions that make British companies attractive takeover targets in the first place. It is a pattern that has some tendency to reinforce itself, and reversing it is proving considerably harder than starting it was.

A market correction, or a market in decline?

It would be a mistake, though, to treat every take-private deal as evidence that Britain is losing something irreplaceable. Companies like Intertek earn the overwhelming majority of their revenue overseas regardless of where they are listed, and a change of ownership does not necessarily change where a business operates or who it employs. Some economists argue this wave of consolidation could ultimately leave London’s remaining listed companies stronger, and that recent reforms simply need more time to rebuild the pipeline of new listings. Others see a market hollowing out faster than anything is arriving to replace it.

Both views are being argued in good faith from the same set of numbers, and it is too early to say which will look correct in five years’ time. What’s clear is that the pattern behind easyJet’s takeover isn’t going away on its own.

Is private equity spotting genuine value that the public market has been mispricing, or a symptom of something more troubling about London’s ability to hold on to the companies that built its reputation in the first place?

💼 Unpacked

Take-private — The process of a publicly listed company being bought and removed from the stock market, so its shares are no longer available to trade openly. Ownership shifts to a private buyer, often a private equity firm.

Private equity — Investment firms that raise large pools of money from institutions and wealthy investors to buy companies outright, rather than buying small stakes on the stock market. They typically aim to restructure or grow the business before selling it on.

Valuation discount — When a company’s share price is lower than what analysts judge the underlying business to genuinely be worth, often relative to similar companies listed elsewhere. This gap is central to why UK firms have become attractive takeover targets.

Index tracker fund — A type of investment fund that simply holds all the companies in a stock market index, such as the FTSE 100, in the same proportions. Many UK workplace pensions are invested this way, which is why delistings affect people who’ve never bought an individual share.

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Sources

• “Budget carrier easyJet confirms €6.6 billion takeover by US private equity firm” — Euronews

• “Who Owns easyJet? Apollo’s £5.7B Takeover Ownership (2026)” — WhoIsTheOwnerOf

• “EQT Buying Intertek Is the Latest in Private Equity’s Gutting of London” — Bloomberg Opinion

• “EQT Intertek $14.5B Take-Private 2026: Deal Analysis” — Angel Investors Network

• “FTSE 100 firm agrees £5.7bn takeover in latest private equity swoop” — City AM

• “UK corporations keep things private” — McKinsey & Company

• “UK IPO proceeds trebled in H1 2026 — is London’s stock market revival finally here?” — IG UK

• “UK government courts private equity leaders to revive London IPOs amid FTSE exodus” — Crypto Briefing

• “Megadeals drive soaring UK public-to-private transaction value” — S&P Global Market Intelligence

Featured Image: https://highpaycentre.org/gap-between-the-pay-of-ftse-100-ceos-and-uk-workers-the-widest-for-8-years/

What is the green belt?

The concept dates back to 1955, when it was introduced as a tool to stop towns and cities sprawling into one another, not as a judgement on the ecological or scenic value of any particular field. As a result, London’s green belt contains a mixture of farmland, woodland, golf courses, disused sites and, in places, land that has already been built on or degraded in some way. Within this broader area sits a newer and more contested subcategory known as grey belt, which refers specifically to green belt land considered lower quality, previously developed, or of limited environmental and recreational value. It is this narrower category, not the green belt as a whole, that the new London Plan is proposing to open up.

The mechanism for doing so is a dedicated planning policy called GLE3, part of the Mayor’s broader Growing London’s Economy strategy. This matters because it marks the first time data centres have had a bespoke planning framework of their own, rather than being assessed under the same general rules that apply to warehousing and other industrial buildings. Under GLE3, data centres would be treated as, in the Mayor’s own phrase, the only exception to the usual restrictions on green belt development.

Green belt exceptions have historically been reserved almost exclusively for housing, and even then only in designated growth areas with strong transport connections. Data centres, by contrast, would gain a standing route onto qualifying grey belt sites outside those reviewed growth areas altogether, a route the plan explicitly states is not available to any other major use of land.

The justification offered for this distinction rests on how a data centre actually behaves once it is built. Officials argue that although these facilities can occupy large sites, they generate comparatively little daily traffic and require far fewer staff and deliveries once operational than a housing estate, a warehouse or a factory would. That is the basis on which the usual transport-link test, the one that has shaped where housing has been allowed to encroach on the green belt for decades, is being waived specifically for this sector.

Why data centres got the exemption housing never did

It would be inaccurate to describe this as a blank cheque for developers, even if the practical effect still favours one industry over every other. The draft plan sets out specific conditions that a qualifying data centre must meet, built around energy and sustainability performance rather than the traffic and design tests that usually govern green belt exceptions. Proposals need to demonstrate a coordinated plan for recovering and reusing waste heat, measures to improve water and electricity efficiency, and, where feasible, on-site or nearby renewable electricity generation.

In principle, this ties the exemption to a higher environmental bar than data centres faced when they were still assessed as ordinary industrial buildings. In practice, planning specialists have already described the overall approach as permissive, and green belt campaigners have gone further, warning that it risks setting a dangerous precedent for other sectors to argue for their own exceptions in future.

That warning is already playing out in Havering, in outer east London, where a proposed data centre campus at North Ockendon has become the first real test case of what this policy means on the ground. The scheme, which developers and the local council say could become one of the largest single data centre sites in Europe, is being promoted on the basis of roughly 1,240 jobs along with public benefits including a new heat network and an ecology park. Havering Council, acting as the local planning authority, has been consulting on the arrangements needed to bring the scheme forward, while residents’ groups and the local Member of Parliament, Andrew Rosindell, have raised concerns about both the pace of that consultation and the wider precedent of easing green belt rules for large-scale data centre development. Rosindell has been careful to say he is not opposed to data centres in principle, given how important the sector has become, but argues that growth should not come at the expense of countryside that local communities value.

Set against that backdrop, the housing comparison becomes hard to avoid. London’s housing shortage is genuinely severe, with the Centre for Policy Studies estimating a shortfall of around 1.1 million homes against the level of housing typical of comparable European cities. Yet analysis from the Centre for Cities has found that around nine in ten of the grey belt sites near London judged suitable for development already sit within green belt boundaries that housing has historically struggled to reach, precisely because most housing exceptions depend on proximity to public transport in a way this new data centre policy does not require. In other words, a sector facing far less acute pressure to expand into protected land than housing does has just been given an easier route onto it.

What does this say about how Britain allocates scarce land?

None of this means data centres are wrong to want the land, or that housing automatically deserves it more. Grey belt sites suitable for large-scale development are genuinely limited, and every hectare allocated to one purpose is a hectare that cannot be used for another.

What the London Plan does is make an explicit choice about how to referee that competition. Data centres arrive with a strong case of their own, since they will employ hundreds of people, in a struggling labour market, bring substantial capital investment and business rates revenue, and sit within a sector the government has repeatedly identified as central to future economic growth. Housing carries an equally strong case, given a shortage now measured in the hundreds of thousands of homes across the capital. Faced with two choices, the plan resolves the tension by giving data centres a standing route onto grey belt sites that housing largely still lacks. That is not necessarily the wrong call, since land use decisions always involve trade-offs between competing goods, but it is a choice with a clear winner and a clear runner-up.

The stakes reach beyond London too. Roughly 80 percent of the UK’s operational data centre capacity currently sits in the capital, while some proposed sites elsewhere in the country have faced connection queues to the electricity grid stretching to fifteen years, so how London chooses to treat this sector could shape expectations nationally.

Since taking office, Prime Minister Andy Burnham has signalled he wants to move away from what allies have described as an overly US-centric, unfettered approach to AI policy under the previous government, and reports suggest his team could reassess a range of related policies, including AI Growth Zones themselves. If London’s grey belt exemption proves successful in accelerating investment, it may become a template other regions look to adopt. If it becomes bogged down in legal challenges or public opposition, of the kind already building in Havering, it could just as easily become a cautionary tale that makes ministers more hesitant elsewhere.

Either way, the question the North Ockendon dispute is really asking is whether Britain is comfortable giving one modern industry easier access to protected land than it has historically given to housing, despite housing facing the more acute shortage of the two.

Is this the right call?

None of this is decided yet. The consultation on the draft London Plan runs for three months, and the submissions made during that window, from councils, developers, campaign groups and ordinary residents, will help determine whether preferential grey belt access for data centres becomes a lasting feature of how Britain manages competing claims on protected land, or whether it remains a narrow, sector-specific exception confined to this one plan.

Do you believe the potential upside of accelerating Britain’s AI growth is cause enough to grant data centres this unprecedented access, and on what grounds would you defend that choice to someone who disagreed with you?

💼 Unpacked

Green belt - A planning designation introduced in 1955 to stop urban areas sprawling into one another. It is a policy boundary rather than a measure of a site’s ecological or scenic quality.

Grey belt - A newer, more contested subcategory of land that technically sits within the green belt but is regarded as lower quality, previously developed, or of limited environmental and recreational value. It is grey belt land specifically, not the green belt as a whole, that the new London Plan proposes to open up to data centres.

GLE3 (Growing London’s Economy 3) - The dedicated planning policy in the draft London Plan that sets out how data centres will be treated.

AI Growth Zones - A national government framework designating specific areas of the UK for accelerated AI and data centre investment.

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Sources

What is Sadiq Khan’s New Plan for Green Belt Data Centres?, Data Centre Magazine — https://datacentremagazine.com/news/what-is-sadiq-khans-new-plan-for-green-belt-data-centres

Sadiq Khan opens London’s grey belt to data centre development, Data Centre Review — https://datacentrereview.com/2026/07/sadiq-khan-opens-londons-grey-belt-to-data-centre-development/

Could Sadiq Khan Allow Sustainable Data Centres in London?, Sustainability Magazine — https://sustainabilitymag.com/news/could-sadiq-khan-allow-sustainable-data-centres-in-london

London unveils new data centre rules, Copper Consultancy — https://copperconsultancy.com/news/london-sets-out-rules-for-data-centres-as-khan-bets-on-industries-of-the-future/

Sadiq Khan’s Data Centre Plan Sparks Havering Green Belt Row, East London Times — https://eastlondontimes.co.uk/local/havering/sadiq-khan-data-centre-plan-sparks-havering-green-belt-row-2026/

The impact of green belt on housebuilding, Centre for Cities — https://www.centreforcities.org/blog/the-impact-of-green-belt-on-housebuilding/

Why Green Belt Land Development is Key to Meeting the UK’s Growing Housing Demand, Urbanist Architecture — https://urbanistarchitecture.co.uk/green-belt-land-housing-shortage/

Andy Burnham’s plan to overhaul AI strategy sparks backlash, Sifted — https://sifted.eu/articles/andy-burnham-ai-plan-uk-changes-reaction

Burnham Has a Narrow Window to Shape UK AI Policy, Carnegie Endowment for International Peace — https://carnegieendowment.org/emissary/2026/07/ai-policy-burnham-uk

Featured Image: Google data centre in Council Bluffs, IA — Wikimedia Commons

That reaction raises the real question behind an autumn Budget already being billed as unusually significant. Burnham wants to expand what the Budget covers. The public finances he has inherited may leave him remarkably little room to do it safely.

The fiscal position Burnham has inherited

Britain now spends around £109 billion a year servicing its debt, a figure expected for the 2026-27 financial year that amounts to roughly 9 per cent of all government revenue. To put that in perspective, it is close to the entire annual budget for the Department for Education. Every pound spent on interest payments is a pound that cannot go towards public services or the investment projects Burnham has talked about prioritising. That is the backdrop against which any talk of an expanded Budget needs to be judged, because debt servicing costs do not pause while politicians debate spending priorities.

The bond market Burnham has walked into was already jittery before he arrived. Yields on 10-year UK government bonds, known as gilts, touched an 18-year high of around 5.17 per cent in mid-May 2026, driven largely by a spike in energy prices following the war in the Middle East. Higher energy costs push up inflation, and higher inflation pushes up the return investors demand for lending to the government, since they need compensation for the risk that inflation erodes the value of what they are eventually repaid. This is not a uniquely British problem, but Britain has felt it more acutely than most of its peers because of how much of its debt is tied to inflation, a point worth returning to later.

The IMF’s verdict on the outgoing government’s approach, published in July 2026 after its regular Article IV review of the UK economy, was broadly favourable. The Fund judged that the previous fiscal strategy struck a good balance between reducing the deficit and supporting growth-friendly spending. That praise now sits awkwardly alongside Burnham’s opening moves, because it amounted to an endorsement of restraint delivered just weeks before a new prime minister began talking publicly about flexibility. Healey, meanwhile, inherited an immediate practical problem on top of the broader picture. A £4.7 billion gap in the defence budget was left unresolved by Starmer’s government, and it needs to be filled from wherever the new administration can find it.

What an expanded Budget could mean

Reports since Burnham’s appointment suggest he is considering something more ambitious than a normal autumn Budget. Rather than treating tax and spending decisions as separate exercises spread across the year, allies have suggested he wants to merge the Budget with the government’s departmental spending review, creating a single, larger fiscal event. The idea is that markets and the public get one clear moment to assess the government’s full economic plan, rather than piecing it together from several announcements. Whether that reduces uncertainty or simply concentrates it into one higher-stakes date remains to be seen, and it is worth treating that framing with some scepticism given what happened to gilt yields the moment Burnham even hinted at looser rules.

The policy ideas floated so far give a sense of how far this could stretch beyond a conventional Budget. Allies have pointed to a land tax as one option under consideration, alongside the nationalisation of utilities and a larger increase in defence spending than previously planned. None of this has been confirmed by the Treasury, and it is worth being clear that everything reported so far comes from allies and market sources rather than official government statements. An announcement is expected in October, though even that timing has not been formally confirmed.

What is clearer is the immediate financial ambition behind the flexibility Burnham has already claimed. Allies have suggested that reinterpreting the current fiscal rules could unlock up to £16 billion for infrastructure spending over the remainder of this Parliament. That is a meaningful sum, and if delivered well it could genuinely support the kind of regional investment and productivity improvements that successive governments have promised without fully achieving. The question worth holding onto through the rest of this piece is whether that sum is actually available once the state of the public finances is properly accounted for.

The fault lines, why the room to expand is nearly gone

The starting point here is fiscal headroom, the buffer a chancellor keeps against the government’s own borrowing rules. At the last full Budget in November 2025, the Office for Budget Responsibility gave Reeves a buffer of £22 billion. That sounds like a reasonable cushion, but headroom is not a fixed asset sitting in a vault untouched. It shrinks or grows depending on how the economy performs against forecast, and by May 2026 the numbers had already moved in the wrong direction. Public sector borrowing that month reached £23.3 billion, £5.6 billion above what the OBR had expected, while debt interest payments hit a record May high of £11.7 billion, itself £2.4 billion above forecast. A significant part of that overshoot comes down to the structure of British debt. Roughly a quarter of UK gilts are linked to inflation, which means that when inflation rises unexpectedly, so does the cost of servicing that portion of the debt automatically, without any new borrowing decision being made at all.

This matters enormously for how much room Burnham genuinely has. If headroom was already being eroded by rising inflation and borrowing overshoots before he took office, then any new spending commitments are being layered on top of a buffer smaller than the November 2025 figure suggested.

The IMF’s own outlook reinforces this reading rather than contradicting it. The Fund expects UK growth to slow to just 1.0 per cent in 2026 as higher energy prices weigh on real incomes and tighten financial conditions, which shrinks the tax revenue a government can expect to collect at exactly the moment spending ambitions are growing. The IMF’s recommendation, delivered before Burnham’s arrival, was to hold the existing course on deficit reduction rather than loosen it, and to keep monetary policy tight enough to stop higher energy prices feeding through into broader inflation. Neither of those conditions points towards more room to spend. Both point towards less.

The market’s reaction to Burnham’s first day in office should be read as a preview rather than an overreaction. Ten-year gilt yields rose to 5.04 per cent, a high among G7 economies, and 30-year yields climbed to 5.75 per cent, purely on the strength of a couple of words about fiscal flexibility, before a single policy had actually been confirmed. That is a genuinely important signal. Investors were not pricing in a specific tax rise or spending commitment, because none existed yet. They were pricing in doubt about whether the new government would maintain the discipline the IMF had just praised.

Every additional basis point of yield sustained over a year adds hundreds of millions of pounds to the cost of servicing existing debt, money that has to come from somewhere and cannot then be spent on the investment Burnham wants to fund. It creates an awkward loop, where signalling ambition for more spending makes that spending more expensive to deliver, which is precisely the dynamic that will be tested when the OBR delivers its verdict alongside the autumn Budget.

What October will decide

The tension running through all of this is not really about ideology. It is about arithmetic that has been building for months and was already visible in the OBR’s own borrowing figures well before Burnham took office. He has inherited an economy the IMF judged to be on a broadly sound fiscal footing, provided that footing was maintained rather than tested. His opening move as prime minister has been to test it anyway, and the market’s immediate response suggests investors are not inclined to give him much benefit of the doubt.

Whether October produces a Budget that genuinely widens what is fiscally possible, or one that quietly retreats from the flexibility promised in July, will say a great deal about how much has actually changed in Downing Street beyond the person sitting behind the desk. For anyone with a mortgage due for renewal or savings held in gilts, that answer will matter well beyond Westminster.

Unpacked

Fiscal headroom — The buffer a chancellor keeps against the government’s self-imposed borrowing rules, calculated by the Office for Budget Responsibility. It moves up or down depending on how the economy performs against forecast, which is why a healthy-looking headroom figure at one Budget can look thin by the next.

Fiscal rules and the Charter for Budget Responsibility — The formal framework, set by the Treasury, that limits how much the government can borrow and requires debt to be falling as a share of the economy by a set date. Chancellors can adjust these rules, but doing so is politically sensitive because it signals a weakening of fiscal discipline to investors.

Gilt yields — The return investors demand for lending money to the UK government by buying its bonds, known as gilts. When investors doubt the government’s fiscal discipline, they demand higher yields to compensate for the extra risk, which pushes up the government’s own borrowing costs as well as costs across the wider economy, including mortgages.

Article IV consultation — An annual health check the International Monetary Fund conducts on its member economies, including the UK, assessing growth, inflation and the sustainability of government finances. It carries no binding power but functions as an independent benchmark that investors and other governments pay close attention to.

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Share

Sources

1. “United Kingdom: Staff Concluding Statement of the 2026 Article IV Mission”, International Monetary Fund, https://www.imf.org/en/news/articles/2026/05/18/pr26154-united-kingdom-staff-concluding-statement-of-the-2026-article-iv-mission

2. “IMF Wraps Up 2026 Article IV Review With UK”, Mirage News, https://www.miragenews.com/imf-wraps-up-2026-article-iv-review-with-uk-1711424/

3. “UK Gilt Yields Explained, New Chancellor’s Impact”, IG UK, https://www.ig.com/uk/trading-strategies/uk-gilt-yields-explained-what-burnham-s-new-chancellor-means-for-260721

4. “Bond Market Punishes Burnham’s ‘Fiscal Flexibility’ as UK Yields Hit G7 High”, Tech Times, https://www.techtimes.com/articles/321185/20260721/bond-market-punishes-burnhams-fiscal-flexibility-uk-yields-hit-g7-high.htm

5. “Britain’s Bond Market May Limit PM Burnham’s Fiscal Options”, Global Banking and Finance Review, https://www.globalbankingandfinance.com/britains-bond-market-limit-what-burnham-pm/

6. “UK Gilts Under Pressure as Markets Brace for Higher Spending Under Burnham”, Kalkine Media, https://kalkine.co.uk/news/economy/uk-gilts-under-pressure-as-markets-brace-for-higher-spending-under-burnham

7. “Incoming UK PM Burnham Eyes Expansive Autumn Budget, May Merge Fiscal Statement With Spending Review”, InvestingLive, https://investinglive.com/news/incoming-uk-pm-burnham-eyes-expansive-autumn-budget-may-merge-fiscal-statement-with-spending-review-reports

8. “UK 10-Year Gilt Yield Rise on Early OBR Report”, Trading Economics, https://tradingeconomics.com/united-kingdom/government-bond-yield/news/505160

9. Featured Image: Chancellor’s red box, https://www.flickr.com/photos/hmtreasury/52747490295

A decade of devolution deals, and the case Burnham is building on

To understand why devolution has become the organising idea of Burnham’s platform, it helps to look at what has actually happened in Greater Manchester over the past ten years, because it is the closest thing Britain has to a live experiment. Since 2015, Greater Manchester has accumulated an unusually wide set of devolved powers, covering transport, skills funding, health and social care integration, and housing. This culminated in what is known as an Integrated Settlement, a single consolidated funding pot that gives the combined authority more discretion over how money is spent rather than forcing it through multiple separate government grant streams.

Reflecting on that decade, Burnham has argued that a place-first approach to governance offers a route to a more streamlined and financially sustainable state in a way that Whitehall, structured around departments rather than places, is not well designed to provide. He has also been candid about the friction involved, describing years spent re-making the case for devolution to a Whitehall that included ministers who blocked parts of agreed deals and departments that simply declined to engage.

The pitch Burnham is now taking to the public scales this experience up. His Manchester speech set out plans covering economic growth, public housing, industrial policy and education, all built around what he has called Manchesterism.

Reaction has been mixed. Even sympathetic observers have noted that his framing was aimed squarely at the English regions, leaving Scotland, Wales and Northern Ireland treated largely as an afterthought, and he has committed only in general terms to extending devolution there without offering detail on how. What unites the whole platform, though, is a working assumption that where power sits is the decisive variable, and that fixing the geography of British government fixes the geography of British growth.

Why the productivity gap is not primarily a Whitehall problem

That assumption deserves scrutiny, because the evidence on what actually drives regional productivity gaps points to a set of structural forces that exist largely independently of who holds administrative control. Economies grow unevenly across regions for reasons that include the depth and relevance of local skills provision, the quality of transport links between where people live and where the most productive jobs are, the willingness of businesses to invest in plant, equipment and training, and what economists call agglomeration effects, the tendency for productivity to rise when firms and skilled workers cluster densely together, which is part of why a small number of major cities pull disproportionately ahead.

None of these forces are primarily a function of whether a transport budget or a skills grant is signed off in Whitehall or in a town hall. A region can gain full control over its own transport spending and still struggle if the underlying workforce lacks the specific skills local employers need, or if the businesses that would otherwise invest choose not to because the customer base and supply chains around them are too thin.

The OECD’s newly published Economic Survey of the United Kingdom, launched on 15 July with a dedicated chapter on regional productivity. The Survey projects that UK growth will slow to 0.9% in 2026, down from 1.4% the year before, and identifies weak productivity growth and large regional disparities as persistent structural drags on the economy. Crucially, its own framing of the solution is not that decision-making needs to move closer to the regions, but it requires a comprehensive policy approach rather than a single structural fix.

Read carefully, this is closer to an argument against treating devolution as a sufficient answer than an argument for it. The OECD's own diagnosis rests on skills, investment and the performance of lagging regions, not on the location of administrative authority. That means moving power out of Whitehall addresses, at best, one input among several, and quite possibly not the one doing the most work in explaining the gap in the first place.

What devolution would need to deliver on its promise

None of this means devolution is pointless, but it does mean the case for it has to rest on something more specific than the belief that centralisation itself is the primary obstacle. Research examining Burnham’s platform against the existing evidence base has raised two separate concerns that go beyond the question of where powers formally sit. The first is about incentives once power is devolved. Analysis of central-local relations under the current government has suggested that even generous devolution settlements can still end up channelling resources toward the areas expected to deliver the fastest measurable economic return. This would just replicate the same logic that currently concentrates growth in London and the South East, simply with different local actors making the allocation decisions. If that pattern holds, devolving power does not automatically spread opportunity more evenly. It can just move the point at which the same trade-offs get made.

The second concern is about accountability. Research into democratic oversight of combined authorities has found that public awareness of what metro mayors actually control remains low, that scrutiny capacity within combined authorities is limited, and that there is currently no formal mechanism for residents to participate directly in the strategic economic decisions made on their behalf.

If Burnham’s vision concentrates significant new powers in mayoral combined authorities and a No 10 North operation without addressing this gap, the practical effect could be a transfer of power from one distant, poorly scrutinised institution to another. It may be better geographically positioned but no more visible or answerable to the people it is meant to serve.

This is a key reason to treat the accountability architecture around devolution as being just as important as the transfer of powers itself. Burnham’s platform, at least for now, has said far more about what should move than about how anyone would know if it had actually worked.

A rebalancing of power, or a rebalancing of outcomes

The distinction that ultimately matters here is between moving power and closing the gap it is meant to close, and those are not automatically the same achievement. Burnham’s argument is built on lived experience in Greater Manchester and a well-documented frustration with a Whitehall that has often slowed or blocked agreed devolution deals. But the OECD’s own diagnosis points toward skills, investment and the specific conditions in lagging regions as the decisive variables, with the location of decision-making as one factor among several rather than the central lever.

A more searching question for the coming months is not whether power moves out of Whitehall. It’s whether the places receiving it have the mechanisms to convert that authority into measurably different outcomes, or whether the same national patterns simply reassemble themselves at a regional scale under new management.

💼 Unpacked

Devolution – The transfer of powers and funding decisions from central government to regional or local bodies, such as combined authorities led by directly elected mayors, covering areas like transport, housing and skills.

Agglomeration effects – The economic benefit that arises when firms, skilled workers and infrastructure cluster densely in one place, raising productivity for everyone nearby. It is a major reason large cities tend to out-perform surrounding regions.

Integrated Settlement – A single, consolidated funding arrangement that gives a combined authority discretion over how it spends money across policy areas, rather than requiring separate applications for individual government grant streams.

OECD Economic Survey – A periodic, in-depth assessment the OECD produces for member countries, evaluating economic performance and offering detailed policy recommendations, often including special chapters on specific structural issues such as regional disparities.

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Sources

1. The United Kingdom should strengthen productivity growth while ensuring fiscal sustainability — OECD — https://www.oecd.org/en/about/news/press-releases/2026/07/the-united-kingdom-should-strengthen-productivity-growth-while-ensuring-fiscal-sustainability.html

2. OECD to launch the Economic Survey of the United Kingdom on 15 July — OECD — https://www.oecd.org/en/about/news/media-advisories/2026/07/oecd-to-launch-the-economic-survey-of-the-united-kingdom-on-15-july.html

3. Introducing ‘No. 10 North’: U.K.’s Likely Next Prime Minister Andy Burnham Lays Out Devolution Plans — TIME — https://time.com/article/2026/06/29/andy-burnham-uk-prime-minister-plans-economics-devolution-backlash/

4. Place first: a unifying path for a United Kingdom — Greater Manchester Combined Authority — https://greatermanchester-ca.gov.uk/news/place-first-a-unifying-path-for-a-united-kingdom

5. Andy Burnham’s Devolution Vision: What Does the Evidence Say? — Local Policy Innovation Partnership Hub — https://blog.bham.ac.uk/lpip/2026/06/29/andy-burnhams-devolution-vision-what-does-the-evidence-say/

6. Monthly Economic Review – July 2026 — UK Finance — https://www.ukfinance.org.uk/data-and-research/economic-insight/monthly-economic-review-july-2026

Featured Image: No. 10 Downing Street door, Wikimedia Commons

A year of loosening the rules

The clearest starting point for this story sits in July 2025, when the Bank’s Financial Policy Committee first moved to relax the loan-to-income limits that had constrained mortgage lending since shortly after the crisis. Under the existing rule, lenders were required to keep the number of mortgages issued at 4.5 times a borrower’s income or higher to no more than 15% of their total new lending each year. The FPC’s change allowed individual lenders to exceed that 15% threshold on their own books, provided the lending sector as a whole still stayed within the aggregate cap.

At the time, high loan-to-income lending across the market sat at 9.7% in the first quarter of 2025, and the Bank forecast that giving individual lenders more room would likely push that figure to around 11% by the end of the year. Governor Andrew Bailey was candid about how much room this actually created, telling reporters that a meaningful shift in behaviour by lenders would represent quite a change. Deputy Governor Sam Woods put a number on the potential effect, estimating that the relaxation could enable up to 36,000 additional high loan-to-income mortgages every year.

By the following summer, the Prudential Regulation Authority was still actively reviewing the loan-to-income flow limit, and had extended a temporary modification allowing lenders to disapply the 15% cap altogether while that review continued, a stopgap due to run until the rule was formally rewritten.

That rewrite arrived in April 2026, when the PRA published a consultation paper proposing permanent changes to how high loan-to-income lending would be governed going forward. The justification leaned heavily on who the relaxed lending was actually reaching. First-time buyers had gone from making up an average of 44% of all mortgage volume since the original policy was introduced, to accounting for 54% of high loan-to-income lending specifically by the second quarter of 2025, evidence the Bank presented that the relaxation was reaching the people it intended to help rather than simply enabling riskier lending across the board.

Rather than treating that as a one-off correction, the Bank kept building on it. In December 2025, the Financial Policy Committee turned its attention away from mortgages and towards the banking system as a whole, revisiting a benchmark it had held since 2015 and reaffirmed as recently as 2019. The Committee cut its system-wide Tier 1 capital benchmark for UK banks from around 14% to 13% of risk-weighted assets. The Committee framed the change as evidence that the UK banking system had become resilient enough to support growth.

That brings the timeline to this month. On the seventh of July, the Financial Policy Committee proposed a different kind of loosening, this time targeting the capital that banks themselves must hold in reserve, through a rule called the leverage ratio, which requires banks to hold a minimum amount of capital against the total value of their assets, regardless of how risky or safe those individual assets are considered to be.

The Committee, working alongside the Prudential Regulation Authority, proposed moving towards a single releasable capital buffer framework, removing the countercyclical leverage buffer entirely, aligning the additional leverage ratio buffer with international standards, and reducing the minimum leverage ratio requirement itself from 3.25% to 3%.

In aggregate, the proposals would reduce the total capital UK banks are required to hold against this measure by around 20 basis points, or roughly 0.2 percentage points of their assets.

The Bank’s own Financial Stability Report noted that the leverage ratio had already become a binding constraint for three of the UK’s seven largest banks, and the largest domestic lenders affected, including Lloyds Banking Group, NatWest Group, Nationwide and Santander UK, would also see an additional capital buffer reduced to zero during a downturn under a further consultation the Bank plans to open later this year. Four separate rule changes in twelve months, spanning mortgages and bank capital alike, all moving in the same direction.

The case for making lending easier

The Bank has not been quiet about why it has taken this path, and the reasoning deserves to be taken seriously on its own terms before it gets complicated. On mortgages, the argument centres on access. Loan-to-income limits set after 2008 were designed to stop a repeat of reckless lending, but the Bank’s own data suggested the rule had also been quietly locking out a specific group of otherwise creditworthy borrowers, particularly first-time buyers who lack the inherited wealth or family support to save a large deposit and instead need to borrow a higher multiple of their income to get onto the property ladder.

The PRA’s own framing was that an increased supply of high loan-to-income mortgages could meet previously unmet demand from creditworthy individuals, including first-time buyers and those on lower incomes. The relaxation also followed a direct call from the UK government for regulators to find ways of supporting economic growth without undermining financial stability, meaning this was not a decision the Bank arrived at in isolation, but one shaped by political pressure to get more credit flowing through an economy that has struggled to generate consistent growth.

The specific problem the Bank is trying to solve is that capital buffers banks must hold at all times, with no ability to draw on them during a genuine crisis, can end up making a downturn worse rather than better. A bank facing a hard rule it cannot breach will simply pull back lending at the exact moment the economy needs credit flowing most. A releasable buffer framework is designed to let banks lean on their reserves during stress rather than freezing lending to protect a number on a spreadsheet.

An economy where first-time buyers can access mortgages more easily, where lenders face less friction, and where banks can keep extending credit during a downturn, has more housing mobility and holds up better under shock.

Given how much of the UK’s growth problem over the past few years has been tied to weak investment and constrained credit, a regulator willing to test whether some of its post-crisis caution had become excessive is not acting unreasonably.

The risks of making borrowing easier

The complication is that the Bank is not making this case in a vacuum, and it has been unusually direct about naming the risks sitting alongside its own decisions. The same July report that proposed loosening capital rules also described officials fretting about deepening threats from artificial intelligence reshaping trading and risk assessment in ways regulators admit they are struggling to monitor. They also mention the current geopolitical outlook continuing to inject volatility into markets as well as leverage across the financial system rising rather than falling.

Crucially, this tension was not lost on the Bank’s own policymaking committee, where concerns were raised that the very changes being proposed could themselves increase risk in financial markets even as they aim to support lending during stress. That is a regulator acknowledging, in its own words, that it is choosing to accept more risk at a moment when it is simultaneously cataloguing new and unfamiliar sources of it.

A mortgage market where a growing share of lending sits at higher income multiples, sitting alongside a banking system holding a thinner capital cushion against its total assets, is a system with less slack in two places at once rather than one. If a downturn arrives while both of these adjustments are still bedding in, more households will be carrying larger mortgages relative to their income at precisely the moment banks have less spare capital to absorb losses, a combination that did not need to happen simultaneously and yet has.

The government pressure behind the mortgage changes also raises a genuine question about incentives, since growth targets and financial stability do not always point in the same direction. A regulator responding to political demand for growth is not automatically the same as a regulator concluding independently that its rules had become too conservative.

Is this the right call

The individual logic behind each change holds up reasonably well on inspection. Letting creditworthy first-time buyers access mortgages that a blunt income cap had been excluding them from is a defensible correction. A capital framework that lets banks use their buffers during a crisis rather than freezing lending to protect a fixed number is a genuine improvement on a design flaw in the original post-2008 rules.

However, three loosening decisions inside twelve months at the same moment the Bank of England is naming AI, geopolitics, and rising leverage as active concerns is a pattern that reads like a regulator leaning consistently in one direction regardless of the backdrop. The honest verdict is that this looks like sound policy pursued at a slightly uncomfortable moment, and whether that discomfort turns out to matter will be answered the next time the system is actually tested, and by then, this entire twelve-month pattern, not any single announcement, will be the relevant history.

💼 Unpacked

Loan-to-income (LTI) flow limit — a rule capping the proportion of new mortgages a lender can issue at 4.5 times a borrower’s income or higher, introduced after 2008 to prevent a return to unsustainable mortgage lending.

Leverage ratio — a rule requiring banks to hold a minimum amount of capital against the total value of their assets, without adjusting for how risky those individual assets are considered to be, acting as a simple backstop alongside more complex risk-weighted capital rules.

Releasable buffer — a portion of a bank’s required capital that it is permitted to draw down and use during periods of genuine financial stress, rather than holding completely untouched at all times.

Financial Policy Committee (FPC) — the Bank of England body responsible for identifying and acting on risks to the stability of the entire UK financial system, distinct from the Monetary Policy Committee, which sets interest rates.

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Sources

• “Bank of England Relaxes Mortgage Lending Rules to Help Boost Growth” — Reuters / U.S. News — https://money.usnews.com/investing/news/articles/2025-07-09/uk-banks-can-increase-riskier-mortgage-lending-boe-says

• “Bank of England eases mortgage lending rules” — Retail Banker International — https://www.retailbankerinternational.com/news/bank-of-england-eases-mortgage-rules/

• “PS11/25 – Amendments to PRA Rulebook and FCA Guidance on the de minimis threshold for the Loan to Income flow limit in mortgage lending” — Bank of England — https://www.bankofengland.co.uk/prudential-regulation/publication/2025/july/amendments-to-pra-rulebook-fca-guidance-de-minimis-threshold-loan-income-policy-statement

• “Prudential Regulation Authority announces review of the Loan to Income (LTI) flow limit rule and offers interim modification by consent” — Bank of England — https://www.bankofengland.co.uk/prudential-regulation/publication/2025/july/pra-review-of-the-lti-flow-limit-rule-and-offers-interim-mbc-statement

• “CP6/26 – High loan to income lending” — Bank of England — https://www.bankofengland.co.uk/prudential-regulation/publication/2026/april/high-loan-to-income-lending-consultation-paper

• “BoE lowers tier 1 capital requirements to 13% of RWAs” — Finadium — https://finadium.com/boe-lowers-tier-1-capital-requirements-to-13-of-rwas/

• “BOE Proposes Easing Some Capital Rules Despite Growing Risks” — Bloomberg — https://www.bloomberg.com/news/articles/2026-07-07/boe-proposes-easing-some-capital-rules-despite-mounting-risks

• “Bank of England to relax leverage rules for UK banks” — Reuters / Yahoo Finance — https://finance.yahoo.com/economy/policy/articles/bank-england-relax-leverage-rules-102118423.html

Featured Image: Bank of England, Flickr

Inflation, energy, housing stopped doing the one thing households had always relied on it to do. But also, buried inside that macroeconomic story is a smaller and more useful one, about which parts of this outcome were genuinely beyond anyone’s control, and which parts were shaped by decisions that individual households actually made.

What actually happened

To understand why UK wealth fell so much further than wealth in comparable economies, it helps to start with inflation, because inflation is the mechanism that did most of the damage. UBS’s chief economist, Paul Donovan, pointed to a period in which Britain experienced notably higher inflation than the rest of Europe, driven in large part by quirks in how the UK prices energy. That period is not abstract. UK inflation reached 11.1% in October 2022, a 41-year high, as energy costs spiked following Russia’s invasion of Ukraine and the mini-budget under Liz Truss rattled financial markets further. High inflation erodes wealth in a very direct way. It reduces the real purchasing power of whatever money a household holds, whether that money sits in a current account, a savings account, or is tied up in the value of other assets that don’t keep pace with rising prices. When inflation runs at over 11%, a household needs its assets to grow by more than 11% in the same period just to stand still in real terms. Very few UK household assets managed that.

The scale of the UK’s underperformance becomes clearer once you look at what happened elsewhere. South Korea’s average wealth per adult rose by 55% over the same five years. Japan’s median wealth climbed 51%, the strongest performance among G7 economies. Even Russia, despite more than four years of Western sanctions, saw average wealth per adult grow by 36.9% in real terms. These aren’t small differences, and they demonstrate that a global inflation shock following the pandemic did not have to produce a wealth collapse of this size.

Britain’s outcome reflects specific domestic conditions, including its particular exposure to energy price volatility and a housing market that, as the next section shows, failed to protect the wealth people thought it was protecting. None of this was something an individual household could have changed through smarter budgeting or better financial planning. Energy policy, exchange rates and the inflationary aftershocks of a global pandemic sit well above the level at which personal choices operate.

The housing paradox

If there is one number in this story that should unsettle anyone who assumes property is a safe store of value, it is this: UK house prices rose by 26% between early 2020 and 2025, according to the Office for National Statistics, while consumer prices rose by 32% over the same period. On paper, most homeowners watched the price of their home go up. In practice, because the cost of everything else rose faster, the real value of that asset fell. A house that was nominally worth more in 2025 than in 2020 could still represent less purchasing power than it did five years earlier, once you account for what that money could actually buy. Donovan made a version of this point directly, noting that real estate carries enormous weight in household wealth calculations because it is the largest asset most people own, and that changes in how local property markets perform relative to inflation can move the entire national wealth figure.

This matters more in Britain than in many comparable countries precisely because British households are so heavily concentrated in property as a form of wealth, relative to shares, pensions or other financial assets. A household whose net worth is overwhelmingly tied up in one house, in one local market, is fully exposed to whatever happens to that specific market relative to inflation nationally. If prices in that market underperform inflation, as they did on average across the UK during this period, there is no offsetting gain elsewhere in the portfolio to soften the blow.

This is where the story starts to shift from something purely structural toward something households had at least partial influence over. Nobody could have controlled the national gap between house price growth and inflation. But the degree to which a household’s entire net worth depended on that single gap, rather than being spread across other kinds of assets, was closer to a choice, even if it rarely felt like one at the time. Most people don’t consciously decide to put all their wealth into their home; it simply happens, because a mortgage is the largest financial commitment most households ever make and buying a second asset class alongside it can feel like a luxury. Still, the pattern is worth naming, because it is the clearest illustration in this entire report of the difference between a shock nobody could see coming and a level of exposure to that shock that varied from household to household.

The levers you did have

Three areas stand out as places where households genuinely had room to influence how much of this shock they absorbed, even though none of them could have prevented the shock itself.

The first is what happened to cash sitting in savings accounts. Research from the comparison site Finder found that the average UK savings account lost £2,989 in real terms between June 2020 and June 2025, and that inflation exceeded the average variable cash ISA rate in 51 of the 60 months across that period, or 85% of the time. Banks were slow to pass on the Bank of England’s rate rises to savers even as they raised the cost of borrowing quickly, according to the Financial Conduct Authority’s 2023 review of the cash savings market, which found that the UK’s largest banks passed on only around 28% of a 4.25 percentage point rise in the base rate to easy-access savers between January 2022 and May 2023. A household that left a significant sum sitting in an easy-access account earning close to nothing while inflation ran into double digits experienced a direct, quantifiable loss of real wealth. A household that moved the same sum into a fixed-rate ISA when rates peaked, or otherwise shopped around, kept meaningfully more of its value intact. That gap was not available to everyone, since building up spare cash in the first place requires disposable income that a quarter of UK adults, holding £200 or less in savings, simply don’t have. But for those with a cash buffer, where that cash sat was one of the more controllable variables in this entire period.

The second lever is the structure of household debt, particularly mortgage debt, through the rate-hiking cycle that ran from December 2021 to August 2023, during which the Bank of England raised the base rate 14 times in succession. Homeowners who had locked into long fixed-rate deals before this cycle began were largely insulated for the length of that fix. Homeowners on variable rates, or those whose fixed deals expired partway through the cycle, faced a different reality entirely.

The Bank of England’s own analysis found that mortgage holders refinancing in 2023 faced monthly repayment increases averaging around £250, and separate analysis from the Institute for Fiscal Studies estimated that rising mortgage rates pushed roughly 320,000 people into poverty by the end of that year, with borrowers who remortgaged in 2022 two percentage points more likely to fall behind on other bills than those who hadn’t. Nobody chose the timing of a global rate-hiking cycle. But the length and type of mortgage a household held going into it, a decision often made years earlier for reasons that had nothing to do with anticipating an inflation shock, ended up determining how much of that shock landed on their monthly budget.

The third lever connects directly back to the housing paradox above: how concentrated a household’s wealth was in a single asset class. Households that held savings, pensions or investments alongside their property had other places for value to sit while the housing-to-inflation gap widened. Households with almost everything tied up in one home did not. This is less a specific action any one household took and more a background condition that shaped how exposed they were to everything else in this article, but it belongs alongside the other two because it is the clearest expression of the difference between what happened to Britain and what happened, specifically, to any given household within it.

Where this leaves you

Most of what shrank British wealth over the past five years was decided in energy markets, in inflation data, and in decisions made at the Bank of England and the Treasury, not around individual kitchen tables. That is a genuinely uncomfortable thing to sit with, because it means no amount of careful budgeting was ever going to reverse a national wealth decline of this size. But it is not a reason to disengage from the question entirely. It is a reason to focus attention on the smaller set of decisions that were actually within reach: where spare cash sat while inflation ran hot, how a mortgage was structured going into a rate-hiking cycle, and how much of a household’s net worth depended on a single asset performing well. What happens to any individual household over the next five years will depend, in part, on which of these levers they choose to use.

💼 Unpacked

Real vs nominal wealth — Nominal value is the price tag attached to an asset at any given moment. Real value adjusts that price for inflation, showing what the asset can actually buy. A house can rise in nominal value while falling in real value if prices generally are rising even faster, which is exactly what happened across the UK housing market between 2020 and 2025.

Wealth concentration — The degree to which a household’s total net worth sits in one type of asset, such as property, rather than being spread across several, including savings, pensions and investments. High concentration means a household’s overall financial position rises and falls almost entirely with the fortunes of that one asset class.

Base rate — The interest rate the Bank of England charges commercial banks, which in turn shapes the rates those banks offer to savers and charge to borrowers. The Bank raises the base rate to cool inflation by making borrowing more expensive and saving more attractive, and lowers it to encourage spending when the economy needs a boost.

Asset allocation — The way a household or investor divides its wealth across different categories of asset, such as cash, property, shares and pensions. Allocation decisions determine how exposed a portfolio is to any single market moving in an unfavourable direction, and they sit near the centre of most of the “levers” discussed in this piece.

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If you found this insightful, consider sharing with friends or colleagues. For weekly economics-led takes on markets, policy, and macro trends, subscribe to The Fiscal Compass.

Follow along on social media for concise updates throughout the week:

Instagram: @thefiscalcompassofficial

X: @FiscalCompass.

LinkedIn: Vinay Meisuria

Share

Sources

• UBS, Global Wealth Report 2026 — referenced via: Britain suffers biggest fall in wealth in the rich world since the pandemic, LBC

• UK household wealth posts biggest decline among rich nations since 2020 – UBS, RT

• Economy alert: UK households hit with biggest wealth decline in the rich world due to inflation, GB News

• UK Wealth Slump: Britain Suffers Rich World’s Biggest Fall Since Covid, Business Matters

• Office for National Statistics, UK House Price Index — referenced via: How increases in housing costs impact households, ONS

• What is the average savings interest rate in the UK?, Finder

• Financial Conduct Authority, Cash Savings Market Review 2023 — fca.org.uk

• Bank of England, Interest rates and Bank Rate: our latest decision — bankofengland.co.uk

• Bank Underground, Mortgage affordability for borrowers who re-fixed in 2023 — bankunderground.co.uk

• Institute for Fiscal Studies, 320,000 people pushed into poverty because of mortgage interest rate rises — ifs.org.uk

• HomeOwners Alliance, Mortgage Rate Predictions 2026 — hoa.org.uk

• Featured Image: Great British Pounds, Hire2You

Keir Starmer announced on 22 June 2026 that he would step down as Prime Minister, remaining in office only until Labour elects a successor. The trigger was a slow-burning crisis rather than a single scandal: a run of poor results for Labour in the May 2026 local elections, a sense among MPs that Starmer’s leadership had become a liability, and growing public appetite for an alternative. Burnham had spent months positioning himself as that alternative, even though he held no seat in Parliament at the time. To become eligible, he needed a route back into the House of Commons, and he found one through the Makerfield by-election, triggered by the resignation of the sitting MP and won comfortably by Burnham on 18 June. Within days, his most plausible rival for the leadership, Wes Streeting, threw his support behind Burnham instead of running himself, a move that political commentators say makes a genuine contest unlikely. If nobody else gathers the backing of at least 81 Labour MPs before nominations close on 16 July, Burnham could be Prime Minister by 17 July.

From a failed leadership bid to “King of the North”

Andy Burnham’s political career began in Parliament, not in Manchester. He was elected MP for Leigh, a former mining constituency in Greater Manchester, in 2001, and rose steadily through Labour governments under Tony Blair and Gordon Brown. He held a string of ministerial posts, including Chief Secretary to the Treasury, Culture Secretary, and finally Health Secretary under Brown from 2009 to 2010. When Labour lost power in 2010, Burnham ran for the party leadership and came fourth out of five candidates, a result that might have ended a less persistent political career. He tried again in 2015, this time finishing second behind Jeremy Corbyn, a result that placed him firmly in the party’s soft left, the broad internal grouping that sits between the Blairite centre and Corbyn’s more radical socialist wing.

It would have been easy, after two defeats, for Burnham to settle into a long career as a senior backbencher or shadow minister. Instead, in 2017, he left Westminster altogether and ran to become the first directly elected mayor of Greater Manchester, a newly created post with real powers over transport, housing, and policing across the ten boroughs that make up the city region. He won, and won again in 2021 and 2024, building a public profile that, by the end of his third term, arguably exceeded that of most members of the actual government. During the COVID-19 pandemic, Burnham became a national figure almost overnight when he publicly clashed with the Treasury over financial support for the North of England, earning the nickname “King of the North” in the press for his willingness to take on his own party’s government in defence of his region. It is worth sitting with the strangeness of that nickname for a moment: a Labour mayor became famous for fighting a Conservative government on behalf of people who were not even all his own voters, and it is that combination of regional loyalty and national visibility that has carried him to where he stands today.

As mayor, Burnham presided over what genuinely was a period of rapid change for Manchester. Tony Blair’s former political secretary John McTernan has pointed to Greater Manchester recording faster economic growth than any other UK region, London included, during Burnham’s tenure. He also delivered the Bee Network, a London-style integrated public transport system bringing buses, trams and eventually rail under unified control, and in 2025 Greater Manchester became the first place in 40 years to bring its bus services back under local public control through franchising rather than leaving them to private operators. These are not small achievements for a regional mayor working within a system that gives English city regions far less power than equivalent cities have in most other developed countries. But the growth story is not as simple as Burnham’s supporters sometimes suggest, and that complication matters for anyone trying to judge whether his Manchester record really does translate into a credible claim on national office. Bloomberg has reported that the regional boom has been concentrated heavily in Manchester’s city centre and more affluent areas, while towns on the outskirts of the city region, including Wigan, where Burnham was elected as an MP, have recorded GDP growth per head below the national average. In other words, the “Manchester miracle” has a real geography to it, and not every part of Greater Manchester has shared equally in the benefits Burnham points to on the national stage.

“Manchesterism” and what Burnham actually wants to do with power

Politicians who rise through devolved or regional roles often arrive in national politics with a slogan rather than a programme, and Burnham has certainly given his political philosophy a name: Manchesterism. He has described it in various speeches as “the end of neo-liberalism” and as “business-friendly socialism,” and in more concrete terms as a deliberate rejection of trickle-down economics in favour of policies that explicitly direct the proceeds of growth toward communities rather than assuming they will filter down naturally. It is worth being precise about what this means in practice, because the phrase alone tells you very little. The clearest example is the Bee Network itself: rather than leaving Manchester’s buses to private operators competing for profitable routes, Burnham’s authority took control of routes, timetables and fares, arguing that public coordination produces a better and more equitable service than market competition alone. He has made similar arguments about housing, pushing for greater regulatory power to intervene in the private rented sector, where, by his own account, around 40 percent of homes in Greater Manchester fall below the government’s decent homes standard.

On the national policy questions that would matter most if Burnham becomes Prime Minister, he has been fairly direct. He has said that water companies, and Thames Water specifically, should be brought into public ownership, and more broadly has called for energy, housing, water and transport to come under what he describes as “stronger public control.” This is not simply Burnham freelancing on an unpopular fringe position. YouGov polling from May 2026 found that most Britons think water and energy companies should be nationalised, which suggests Burnham’s instincts here are closer to mainstream public opinion than to the centrist economic consensus that has dominated British politics since the 1980s. He has also linked the present cost-of-living crisis directly to the legacy of Thatcherism, arguing that the deregulation and privatisation drive of the 1980s, including the Right to Buy scheme that allowed council tenants to purchase their homes, ultimately fed an unregulated private rental sector and pushed up the government’s housing benefit bill. Whether or not readers agree with that causal chain, it tells you something important about how Burnham thinks: he sees today’s economic strains less as the product of recent decisions and more as the slow-arriving consequences of choices made decades ago, which in turn shapes the kind of remedies he reaches for.

The choice he is reportedly weighing for Chancellor adds a revealing layer to this picture. As of late June 2026, that choice appears to sit mainly between Ed Miliband, a longtime ally who has pushed for Burnham’s rise for months, and a handful of alternatives including Wes Streeting, Shabana Mahmood, and Yvette Cooper. Miliband wants the role and brings genuine Treasury experience, but reports suggest many MPs doubt his appointment would reassure financial markets, partly over concerns that his strong commitment to net zero could conflict with the spending cuts and North Sea drilling expansion that advisers reportedly believe Burnham’s government will need. Tellingly, Burnham has surrounded himself economically with figures like former Bank of England chief economist Andy Haldane and former Treasury minister Jim O’Neill, both seen as lending credibility with traditional financial institutions even while advocating a looser approach to government borrowing for growth.

This combination of public ownership instincts and regional pride has earned Burnham comparisons to other left-leaning politicians who have built support around visible policy commitments, in the way that New York mayoral candidate Zohran Mamdani built his campaign around promises like cheaper buses. The comparison points to a broader pattern where politicians who campaign on visible, daily-life improvements tend to build a different kind of public trust than those who campaign on macroeconomic abstraction. That style of politics can struggle, though, once it meets the scale and constraints of national government.

Whether Burnham can translate that style of politics from a single city region to an entire country, with its more complex Treasury constraints and international obligations, is one of the open questions hanging over his prospective premiership.

How a coronation, not an election, could make him Prime Minister

The United Kingdom does not elect its Prime Minister directly. The public elects MPs to Parliament, and the leader of whichever party can command a majority in the House of Commons becomes Prime Minister. This means that when a sitting Prime Minister resigns mid-term, as Starmer has done, his successor is chosen not by the country but by the governing party itself, in this case the Labour Party, through its internal leadership rules. The next general election does not have to happen until 2029, so there is no legal requirement for the public to have any direct say in who replaces Starmer before then.

To contest for the Labour leadership, a candidate needs the backing of at least 81 Labour MPs, representing a fifth of the parliamentary party, simply to get onto the ballot. Reports suggest Burnham already has the support of something like 300 of Labour’s 403 MPs, an overwhelming majority that makes it extremely difficult for any rival candidate to clear the threshold, let alone mount a credible challenge. Wes Streeting’s decision to endorse Burnham rather than stand against him removed the one figure most observers considered Burnham’s most serious potential opponent. A handful of other names have been mentioned in passing, including Darren Jones and former minister Al Carns, but neither has committed to running. Nominations open on 9 July and close on 16 July. If Burnham remains the only candidate by that point, there will be no vote at all in any meaningful sense, and he could be confirmed as Labour leader and Prime Minister by 17 July. If a token challenger does emerge, the contest would likely run longer, with a result expected before Parliament returns from its summer break on 1 September.

It is also worth pausing on the public mood feeding into all this, because it explains why so few Labour MPs are inclined to resist what is happening. YouGov polling from late June 2026 found that Burnham consistently outperforms Starmer when Britons are asked who would make a better Prime Minister against the same set of opposition leaders, which is precisely the kind of data that persuades worried backbenchers to fall in line behind a coronation rather than risk a divisive contest. None of this is the same as winning a general election, and it would be a mistake to treat strong polling today as a guarantee of anything in 2029. Public opinion on hypothetical leaders shifts quickly once they are actually in office and forced to make unpopular decisions, as Starmer’s own trajectory demonstrates.

What this means going forward

There is something worth sitting with in the fact that Burnham would become the UK’s seventh Prime Minister in roughly a decade, a pace of turnover that has no real precedent in modern British political history outside periods of war or constitutional crisis. Whatever one thinks of Burnham’s politics, that level of churn at the top of government has costs: continuity of policy suffers, international partners struggle to build long-term relationships with whoever currently holds the office, and voters can reasonably start to wonder whether changing the person in charge is being used as a substitute for changing the underlying problems those people are failing to fix. Burnham himself will inherit a strained relationship with Washington, where President Trump’s rhetoric toward Starmer had grown openly hostile in the weeks before his resignation, and managing that relationship will be an early test of whether Burnham’s regional political skills transfer to the considerably less forgiving arena of international diplomacy.

The more grounded question is what a Burnham premiership might mean for everyday decisions. His track record points toward a government more willing to intervene directly in markets that affect daily life, whether through public ownership of utilities, stronger regulation of landlords, or continued investment in public transport infrastructure. Whether that bet pays off, and whether a politician forged in the relatively contained world of city-region government can manage the far larger and more unforgiving machinery of Whitehall and the Treasury, is something only time will properly answer. For now, what’s clear is that British politics is about to be led by a man it twice told to wait his turn, at a moment when waiting no longer seemed to be an option anyone could afford.

💼 Unpacked

Soft left: A broad faction within the Labour Party positioned between the more centrist, market-friendly politics associated with Tony Blair’s governments and the more radical socialist politics associated with Jeremy Corbyn’s leadership. Soft left figures generally support a stronger role for the state in the economy and public services than Blairites do, while stopping short of Corbyn-era positions on issues like nationalisation’s scope or foreign policy. Burnham has been associated with this grouping since his 2015 leadership run.

Devolution: The transfer of specific powers from the central UK government in Westminster to regional or local bodies, such as the mayoralty of Greater Manchester. In England, devolution has typically covered areas like transport planning, housing strategy, skills funding and, in some cases, policing, while areas like taxation and major welfare policy remain controlled centrally.

Right to Buy: A policy introduced under Margaret Thatcher’s government in the 1980s that gave council house tenants the legal right to purchase their rented home, often at a significant discount. It remains one of the most consequential housing policies in modern British history, credited with expanding homeownership for millions but also blamed, including by Burnham, for shrinking the available stock of social housing and pushing more low-income renters into a private rental market with weaker protections and higher costs, a shift that has fed directly into rising government spending on housing benefit.

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1. “Andy Burnham prepares for a UK Labour leadership contest that may be a coronation,” PBS News / Associated Press — https://www.pbs.org/newshour/world/andy-burnham-prepares-for-a-uk-labour-leadership-contest-that-may-be-a-coronation

2. “Andy Burnham, a former mayor, could become the U.K.’s next prime minister,” NPR — https://www.npr.org/2026/06/23/nx-s1-5866664/andy-burnham-a-former-mayor-could-become-the-u-k-s-next-prime-minister

3. “What Has Andy Burnham, Britain’s Likely Next Prime Minister, Said About Trump?,” TIME — https://time.com/article/2026/06/23/what-has-andy-burnham-uk-prime-minister-lead-said-about-trump/

4. “Andy Burnham’s Manchester Boom and the Areas It Left Behind,” Bloomberg — https://www.bloomberg.com/news/articles/2026-05-27/andy-burnham-s-boom-in-manchester-and-the-areas-it-left-behind

5. “Mayor of Greater Manchester,” Institute for Government — https://www.instituteforgovernment.org.uk/explainer/mayor-greater-manchester

6. “Who would make the best prime minister? June 2026,” YouGov — https://yougov.com/en-gb/articles/55048-who-would-make-the-best-prime-minister-june-2026

7. “The Mayor,” Greater Manchester Combined Authority — https://www.greatermanchester-ca.gov.uk/the-mayor/

8. “Can Burnham resist the siren call of the left?,” The Spectator — https://spectator.com/article/burnhams-odyssey/

9. Featured Image: Andy Burnham, Flickr

The figure itself is difficult to process. Even after decades of rising corporate valuations, $1 trillion remains a number that sits far outside everyday economic experience. It is larger than the annual output of many developed economies and, more importantly, it represents wealth tied not to cash, but to ownership in assets whose value is determined by market expectations.

But the more interesting question is how it became possible in the first place.

How can one person be worth $1 trillion?

The first thing to understand is that “net worth” is not a measure of money held, but a valuation of ownership. In Musk’s case, the vast majority of his wealth comes from equity holdings, particularly his stake in SpaceX. When the company went public, it was priced at around $135 per share, implying a valuation of roughly $1.75 trillion. At that level, even partial ownership translates into hundreds of billions in paper wealth.

Estimates from early trading suggested Musk owns roughly 35–42% of SpaceX, depending on options and dilution structures. That alone places the value of his stake in the range of $600–$800 billion, before considering his remaining Tesla holdings, which still add well over $100 billion depending on market conditions. Combined, this is what pushes his net worth beyond the trillion-dollar threshold.

What matters here is the mechanism behind it. Equity markets are not backward-looking systems that price companies based on current profits. They are forward-looking systems that attempt to value future cash flows, sometimes decades ahead.

SpaceX itself illustrates this clearly. While it generates substantial revenue, estimated in the region of $15–20 billion annually, it has also operated with heavy investment spending and reported losses during its expansion into Starship, satellite infrastructure, and AI-linked systems.

Investors are not paying for what exists today, but for what they believe could dominate tomorrow. A trillion-dollar net worth, then, is less a reflection of current cash generation and more a reflection of long-term expectations priced into equity markets.

Why is wealth concentrating at this scale?

The possibility of a trillion-dollar fortune reflects a broader shift in how modern economies generate value. At the centre of this shift is scalability.

Traditional industrial growth required proportional inputs. Expanding output meant more factories, more labour, and more physical capital. Growth was powerful, but constrained by geography and resources.

By contrast, companies like SpaceX operate in sectors where scale behaves differently. Satellite networks, software systems, and platform-based infrastructure can expand globally without a proportional rise in marginal cost. Once the infrastructure exists, adding new users or contracts is comparatively inexpensive.

This creates increasing returns to scale, where success reinforces itself rather than diluting returns. SpaceX illustrates this dynamic at an extreme level. Its valuation places it not just among large companies, but immediately within the top tier of global firms, alongside Apple, Microsoft, Amazon, and Nvidia in total market capitalisation rankings.

At this level, capital markets begin to behave in a self-reinforcing way. High valuations attract more investor attention, which increases liquidity, which can further reinforce valuation expectations.

There is also an ownership effect that matters just as much as business model structure. Extreme wealth concentration is not only about company value, but about how much of that value is held by founders or early stakeholders.

In Musk’s case, significant retained ownership in multiple high-value firms means that changes in market expectations translate directly into changes in personal wealth at an unprecedented scale.

This is why trillionaires are now structurally possible in a way they were not even two decades ago. It is not only that companies are larger, but that ownership, scale, and investor expectations have become tightly interconnected.

Should we care?

The emergence of a trillionaire has triggered two competing interpretations. One view is that this reflects economic progress. SpaceX, for example, is not a speculative asset in isolation. It operates in satellite internet, launch services, and government contracting, with real-world infrastructure and measurable demand. Its expansion has also attracted significant institutional investment, including major allocations from global asset managers during its IPO.

At the same time, early trading data shows how quickly sentiment can concentrate around a single asset. In the days following its IPO, retail investors purchased nearly $370 million worth of SpaceX shares, surpassing flows into several major technology benchmarks combined.

This highlights how modern capital markets are not just institutional systems, but increasingly behavioural ones. Narratives, and perceived future dominance play a direct role in pricing outcomes.

The opposing view focuses on concentration. When a single individual accumulates wealth at this scale, it raises questions about the growing influence that comes with it, alongside distribution concerns

It also raises a more technical concern. If valuations are driven heavily by future expectations rather than current earnings, then wealth at the top becomes more sensitive to sentiment shifts than traditional income-based measures ever were.

For most people, however, the more practical implication is about what this structure implies for everyday financial life. If ownership is now the primary driver of extreme wealth, then participation in growth increasingly depends on access to assets rather than income alone. That shift helps explain why housing, equities, and long-term investment vehicles have become more central to financial security than wage growth in isolation.

What Does it Mean For the Economy as a Whole?

By itself, one person’s fortune does not determine economic growth, living standards or prosperity. The milestone reflects the type of economy we have built. As technology continues to reshape industries and capital markets reward businesses with strong growth potential, questions around ownership, inequality and access to investment opportunities are likely to become even more important.

A trillionaire is ultimately a symptom of broader economic forces. Understanding those forces helps make sense of a headline that is about far more than one individual.

💼 Unpacked

Net Worth

The total value of everything a person owns minus what they owe. It includes assets such as shares, property, and cash, alongside any debts. For ultra-wealthy individuals, net worth is often dominated by the market value of company ownership rather than liquid money.

Market Capitalisation

The total value of a publicly traded company in the stock market. It is calculated by multiplying the current share price by the total number of shares outstanding. It reflects investor expectations about a company’s future earnings rather than its current cash or assets.

Equity

Ownership in a company, usually represented through shares. Equity holders have a claim on the company’s value and future profits. If the company grows in value, the value of equity increases. Founders and early investors often hold large equity stakes, which can become extremely valuable over time.

Risk Premium

The extra return investors require for taking on uncertainty compared to a “safe” investment such as government bonds. The higher the perceived risk of an asset, the higher the expected return needed to justify its price. In valuation terms, it helps explain why some companies are priced on future expectations rather than current profits.

Initial Public Offering (IPO)

The first time a private company sells shares to the public on a stock exchange. It allows the company to raise capital from investors and gives early shareholders a way to turn ownership into tradable, market-priced assets. IPOs set the company’s initial public valuation.

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Sources

Forbes - SpaceX Soars Another 20%—Rocketing Musk’s Net Worth To $1.3 Trillion
https://www.forbes.com/sites/tylerroush/2026/06/15/spacex-soars-another-20-rocketing-musks-net-worth-to-13-trillion/

Coindesk - Elon Musk’s SpaceX prices shares at $135, raising $75 billion in largest-ever IPO
https://www.coindesk.com/markets/2026/06/11/spacex-prices-shares-at-usd135-in-largest-ipo-ever

Business Insider - Retail hype for SpaceX stock shows no sign of waning days after the IPO
https://www.businessinsider.com/spacex-stock-ipo-retail-investors-tesla-elon-musk-spcx-tsla-2026-6

Reuters. SpaceX IPO and valuation surge linked to Elon Musk becoming first trillionaire
https://www.reuters.com/business/media-telecom/spacex-ipo-makes-elon-musk-worlds-first-trillionaire-2026-06-11/

Financial Times. How private space companies are reshaping capital markets
https://www.ft.com/content/space-sector-valuation-analysis

Bank of England. Financial stability report (asset prices and equity valuations context)
https://www.bankofengland.co.uk/financial-stability-report

OECD. Economic outlook: productivity, innovation and capital concentration trends
https://www.oecd.org/economic-outlook/

Featured Image: Elon Musk speaking at TED, Flickr

Most will not think about the economics behind the tournament. Yet the scale of money surrounding modern sport is now hard to ignore. FIFA expects to generate around $13 billion in revenue across the 2023–2026 cycle, almost double the previous period, with broadcasting rights making up the largest share.

Sport has always made money, but its role within the economy is changing. Clubs, leagues, and tournaments are increasingly treated not just as sporting institutions, but as assets. Investors buy stakes in teams, broadcasters compete for rights, and betting firms and data companies build businesses around the attention sport creates.

Are sports still just games, or are they now better understood as investments?

How Sport Became A Multi-Billion-Dollar Asset Class

For much of the twentieth century, ownership of a football club was often associated with local prestige. Owners certainly hoped their clubs would be successful, and in some cases profitable, but many teams were still deeply connected to the communities in which they operated. Football clubs were businesses, yet they were also civic institutions. Their value was often measured through local identity and sporting achievement rather than financial returns.

That picture has changed dramatically over the past few decades. One reason is that technology has expanded the audience for sport far beyond geographical boundaries. A club that once depended largely on supporters living within travelling distance of a stadium can now reach viewers across continents. A Manchester United supporter in Manchester, Lagos, Mumbai and New York can all watch the same match, buy the same merchandise and engage with the same brand.

That shift transformed the economics of sport. Investors began to realise that major sporting organisations possessed characteristics that were increasingly difficult to find elsewhere. They had globally recognised brands, highly loyal customers and predictable demand. Fans might stop using one streaming service and subscribe to another, but very few abandon the football club they have supported for decades.

From an investor’s perspective, that loyalty has enormous value. FIFA’s own finances provide an indication of how valuable these audiences have become. The organisation originally forecast $11 billion in revenue for the 2023–2026 cycle. That figure has since been revised upward to $13 billion. Television broadcasting rights alone are expected to generate more than $4.2 billion across the cycle. Hospitality and ticket sales are projected to contribute just over $3 billion. Marketing rights account for almost another $3 billion.

Those figures help explain why sport increasingly attracts the attention of investment firms, sovereign wealth funds and institutional investors. They are not simply investing in football matches, tennis tournaments or Formula One races. They are investing in an asset that produces a reliable stream of attention from millions of people around the world.

This helps answer a question many fans ask when they see ever-higher valuations attached to clubs and leagues. Why are investors willing to spend so much?

The answer lies in the belief that live sport remains one of the most valuable forms of content in the modern economy.

Why Betting, Data And Media Rights Are Becoming As Important As The Game Itself

One of the defining features of modern media is that people increasingly consume content whenever it suits them. Television programmes can be streamed days after release. Podcasts can be downloaded and listened to during a commute. News articles can be read hours after publication.

Sport remains different. Most fans still want to watch a major match as it happens. They want to experience the uncertainty in real time. That makes sporting events extraordinarily valuable because advertisers know viewers are less likely to skip coverage or wait until later.

This helps explain why broadcasting rights have become such an important source of revenue. FIFA’s revised budget projects nearly $3.9 billion in television rights revenue in 2026 alone, representing approximately 44% of all revenue generated during the year.

The commercial significance of those audiences can already be seen during this World Cup. ITV recently described the tournament as a “six-week Super Bowl” for advertisers and expects advertising revenues around 30% higher than those generated during Euro 2024. Some advertising slots during England matches are reportedly capable of commanding prices of up to £300,000 for just thirty seconds.

The economics of broadcasting increasingly influence the structure of sport itself. The 2026 World Cup has expanded from 64 matches to 104 matches following the increase from 32 teams to 48 teams. More matches create more viewing hours. More viewing hours create more opportunities to sell advertising, sponsorships and broadcasting rights.

Alongside broadcasting has come the rapid growth of sports data and betting. A generation ago, statistics available to fans were relatively limited. Today, viewers can access player tracking data, expected goals models, heat maps and live probability estimates within seconds. Entire industries now exist to collect, process and distribute sporting information.

Betting markets have become deeply connected to this ecosystem. Sporting events no longer simply determine winners and losers. They also generate thousands of betting opportunities based on outcomes, player performance and in-game events. For many viewers, the experience of watching sport now includes tracking odds and probabilities alongside the action itself.

What emerges is an environment in which sport is simultaneously a contest between teams, a media product, a source of advertising inventory and a stream of commercially valuable data.

The game remains at the centre of the experience. Yet a growing number of businesses depend on everything surrounding the game.

What This Means For Fans

Whether this trend is positive depends largely on which aspect of sport people value most. There are obvious benefits. Increased investment has helped expand access to sport around the world. Production quality has improved dramatically. Fans can watch competitions from almost any location, often with analysis, statistics and coverage that would have been unimaginable a few decades ago. Growing commercial revenues have also helped support the development of women’s sport and expand investment in facilities and competitions. FIFA argues that revenues generated by the World Cup allow it to fund football development programmes around the world.

At the same time, commercial incentives inevitably influence decision-making. When broadcasters, sponsors and investors contribute such large sums of money, their interests become increasingly important. Decisions about tournament formats, scheduling and presentation may be shaped by commercial considerations as well as sporting ones.

The current World Cup offers an interesting example. Hydration breaks were introduced primarily for player welfare because of concerns about summer temperatures in North America. Yet broadcasters quickly recognised that these pauses could also create valuable advertising opportunities. Analysts suggested that advertising inventory associated with these breaks could become extremely lucrative because of the scale of the global audience.

That example does not imply that every change is driven by profit. Nor does it mean commercial interests are necessarily harmful. What it demonstrates is how financial incentives increasingly sit alongside sporting considerations when decisions are made.

Many supporters are already familiar with the consequences. They encounter rising subscription costs as rights become fragmented across multiple broadcasters. They see growing volumes of advertising surrounding major tournaments. They watch competitions expand as organisers seek additional revenue opportunities.

Some fans welcome these developments because they deliver more content and broader access. Others worry that commercial priorities may gradually outweigh sporting ones. Both views contain an element of truth.

Who Takes Priority?

The financialisation of sport does not mean sport has lost its emotional appeal. Fans still care about moments rather than balance sheets. A last-minute winner generates excitement regardless of who owns the broadcasting rights.

Yet it is becoming increasingly difficult to separate the sporting experience from the economic system surrounding it.

Investors see valuable assets. Broadcasters see audiences. Betting firms see markets. Technology companies see data. Advertisers see attention. Each group depends on the same thing: people caring deeply about the outcome of a sporting contest.

The World Cup remains a football tournament. It is also one of the world’s most valuable media properties. Understanding modern sport increasingly requires understanding both realities at the same time.

💼 Unpacked

Financialisation

Financialisation is the process where financial markets, motives, and institutions become increasingly important in shaping how an industry operates. Instead of being driven mainly by production or service delivery, decisions are influenced by investment returns, asset values, and shareholder interests.

Broadcasting Rights

Broadcasting rights are the permissions sold by sporting organisations that allow television networks or streaming platforms to show live matches or events. These rights are typically sold for large sums because live sport attracts real-time audiences.

Asset Class

An asset class is a category of investments that share similar financial characteristics, such as stocks, bonds, or property. Investors group assets this way to assess risk and return. Increasingly, sports teams and competitions are being viewed in a similar way, as revenue-generating assets that can provide long-term financial returns.

Sports Data

Sports data refers to the collection and analysis of information generated during sporting events and sold to broadcasters, betting firms, teams and other organisations.

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Sources

Revised Budget 2023–2026
FIFA Annual Report 2024
https://inside.fifa.com/official-documents/annual-report/2024/financials/revised-2023-2026-budget

2023–2026 Cycle Budget and 2024 Detailed Budget
FIFA Publications
https://publications.fifa.com/en/annual-report-2022/finances/2023-2026-cycle-budget-and-2024-detailed-budget/

2024 Revenue
FIFA Annual Report 2024
https://inside.fifa.com/en/official-documents/annual-report/2024/financials/2024-financials-in-review/2024-revenue

ITV Says World Cup Will Be a “Six-Week Super Bowl” for Advertising
The Guardian, 11 June 2026
https://www.theguardian.com/business/2026/jun/11/itv-world-cup-super-bowl-tv-advertising

World Cup Waterbreaks Offer Lucrative Opportunity for Broadcasters
Reuters, 10 June 2026
https://www.reuters.com/business/media-telecom/world-cup-waterbreaks-offer-lucrative-opportunity-broadcasters-2026-06-10/

FIFA Projects $14 Billion Revenue for 2027–2030 Cycle
Reuters, 19 March 2026
https://www.reuters.com/sports/soccer/fifa-projects-14-billion-revenue-2027-2030-cycle-2026-03-19/

Featured Image: World Cup trophy

That picture has changed gradually but consistently. Over the past few decades, the United States has pulled ahead in both income levels and economic growth. According to OECD data, US labour productivity has grown faster than the EU since the early 2000s, and by the early 2020s the gap in output per hour had widened significantly across most advanced sectors.

The result is visible in everyday terms. Higher average wages in the US, stronger corporate earnings, and a more dynamic technology sector all sit alongside a more familiar European reality of slower income growth and more modest productivity gains. The question is not whether a gap exists, but why it has persisted and widened.

Productivity

At the centre of the US–Europe gap is productivity. It is not the only driver of living standards, but it is the most important long-run one. OECD analysis describes it as a key determinant of income growth because it reflects how effectively labour and capital are combined in production.

Since around the early 2000s, US productivity growth has outpaced that of Europe. According to a 2025 study by the European Employers’ Institute, hourly labour productivity in the EU has grown by around 1% per year over the past 25 years, compared with roughly 1.8% in the United States. As a result, EU productivity now sits around 20% below US levels, with the divergence accelerating after the financial crisis and again after the pandemic.

Importantly, this is not evenly distributed across the economy. Much of the gap comes from sectors tied to digital technology, business services, and high-growth firms. In Europe, productivity performance in these areas has lagged behind US counterparts, where firms tend to scale more quickly and capture larger market shares once successful.

A useful way to think about this is not that Europe is “less efficient” in a general sense, but that it produces fewer large-scale productivity leaders. The US economy is more skewed towards firms that grow rapidly and dominate global markets, particularly in technology and high-value services. That structure alone has long-term consequences for average productivity.

Why wages transmit differently across the Atlantic

Productivity differences only partially explain why US salaries are higher. The second layer is how those productivity gains translate into wages, which depends heavily on labour market structure.

In the United States, labour markets are generally more flexible. Hiring and firing costs are lower, job mobility is higher, and wage negotiation tends to be more closely tied to firm performance and local labour demand. When firms grow quickly, wages tend to adjust upward more aggressively, especially in high-productivity sectors.

Europe, by contrast, places more emphasis on job stability, collective bargaining, and wage compression. This does not mean European workers are simply “paid less for the same work” in a straightforward sense. It means that wage outcomes are more evenly distributed, with fewer extreme highs and lower dispersion across firms and sectors.

This difference matters because it affects how productivity gains show up in household incomes. In the US, high-productivity sectors tend to pass through gains more directly into pay, especially in competitive labour markets such as technology, finance, and professional services. In Europe, stronger institutional buffers smooth this process, which supports stability but reduces upward wage momentum in leading sectors.

The result is a structural difference in outcomes. The US produces a wider spread of wages, including very high earners in high-growth industries. Europe produces a more compressed distribution, with fewer extreme highs but also fewer large gains at the top end of the labour market.

Neither system is purely better or worse. They simply convert economic growth into household income in different ways.

Scale, innovation, and the mechanics of growth

The third piece of the puzzle is scale. Even when innovation exists in both regions, the ability to turn it into large, globally dominant firms differs.

The United States operates as a single large integrated market with deep capital markets and strong venture funding. This combination makes it easier for firms to scale quickly once they reach product-market fit. It also increases the payoff to risk-taking, since successful firms can grow to enormous size without encountering early fragmentation.

Europe, by contrast, is still economically fragmented across multiple legal, linguistic, and regulatory environments. While the EU is a large market in aggregate, firms often face more friction when expanding across borders. Financing structures also tend to be more bank-based, with less reliance on venture capital at early stages of growth.

These differences show up clearly in sector outcomes. US productivity growth has been disproportionately driven by technology-intensive industries, where scale effects are strongest and network advantages compound over time. The pattern is especially visible in artificial intelligence. According to Accel, around 80% of global generative AI investment over the past two years has flowed to US-based companies.

European productivity, while strong in some manufacturing and industrial niches, has been less successful in generating globally dominant digital platforms and fast-scaling service firms.

Recent research highlights this pattern directly, pointing to weaker performance among Europe’s largest firms and a smaller economic footprint for young high-growth companies compared with the US.

Where This Leaves Europe and the UK

The US–Europe gap is often framed as a simple story of divergence, but the reality is more nuanced. On some measures, particularly output per hour, the difference is smaller than headline GDP figures suggest. On others, especially income levels and total output, the US advantage is clearer and has widened over time.

Europe itself is far from uniform. Productivity levels in Germany and parts of Northern Europe sit much closer to US levels, while Southern Europe remains further behind. The “European model” is better understood as a range of economic outcomes rather than a single system.

The UK reflects a separate but related story. Its productivity slowdown began well before Brexit, tied to weaker investment and slower business dynamism after the financial crisis. Brexit may have added friction, but it sits on top of longer-running structural issues rather than replacing them.

The US continues to scale successful firms more effectively, allocate capital more aggressively to high-growth sectors, and transmit productivity gains into wages more directly. Europe, by contrast, tends to prioritise stability and distribution, which supports resilience but limits upside momentum.

💼 Unpacked

Productivity

Productivity measures how much output is produced from a given amount of input, usually labour. In economics, it often refers to the amount of goods and services generated per hour worked. Higher productivity allows businesses to produce more value, which support economic growth, higher wages, and improved living standards over time.

Labour market flexibility

Labour market flexibility describes how easily workers and employers can adapt to changing economic conditions. This includes hiring and firing practices, wage adjustments, and job mobility. More flexible labour markets can help economies respond to change more quickly, though they may also involve less job security.

Scale effects

Scale effects occur when a business becomes more efficient or valuable as it grows. In many industries, especially technology, expanding to serve more customers can be done at relatively low additional cost. This allows successful firms to grow rapidly, increase profitability, and strengthen their competitive advantage.

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Sources

EU-US Labour Productivity Gap – European Employers Institute

https://www.hotrec.eu/en/news_study-sheds-light-on-eu-us-labour-productivity-gap-_E2_80_93-european-employers-institute.html

AI, cloud funding in US, Europe and Israel

https://www.reuters.com/technology/artificial-intelligence/ai-cloud-funding-us-europe-israel-hit-79-bln-2024-accel-says-2024-10-16/

OECD (2019). OECD Compendium of Productivity Indicators 2019. Organisation for Economic Co-operation and Development.
https://www.oecd.org/en/publications/oecd-compendium-of-productivity-indicators-2019_b2774f97-en/full-report/component-9.html

Bunel, S., Clymo, A., Garnier, O., & Zago, R. (2025). Revisiting the European Performance Gap vis-à-vis the United States. Banque de France Eco Notepad No. 391.
https://www.banque-france.fr/en/publications-and-statistics/publications/revisiting-european-performance-gap-vis-vis-united-states

European Employers’ Institute (EEI) & Rexecode (2025). Understanding the EU–US Labour Productivity Gap: The Broad Perspective. European Employers’ Institute.
https://www.fiec.eu/news/news-2025/new-eei-study-understanding-eu-us-labour-productivity-gap-1-broad-perspective

Adilbish, O., Cerdeiro, D., Duval, R., Hong, G.H., Mazzone, L., Rotunno, L., Toprak, H., & Vaziri, M. (2025). Europe’s Productivity Weakness: Firm-Level Roots and Remedies. CEPR VoxEU.
https://cepr.org/voxeu/columns/europes-productivity-weakness-firm-level-roots-and-remedies

Featured Image: US and European Union flags, Flickr

Recent funding rounds have only intensified the discussion. For example, Anthropic recently raised around $65 billion at a valuation approaching $1 trillion, reflecting both rapid revenue growth and extraordinary investor appetite for exposure to AI development . At the same time, hyperscalers are committing hundreds of billions of dollars toward data centres, chips, and energy infrastructure to support AI workloads .

Yet despite the scale of these developments, the more useful question may not be whether AI represents a bubble. That question tends to be asked too late or answered too simplistically.

A better starting point is to understand how bubbles actually form, why they recur across very different eras, and what conditions tend to produce them. Because once those conditions are visible, the distinction between innovation and excess becomes much harder to draw in real time.

What a Bubble Actually Is (and Isn’t)

A financial bubble is often misunderstood as a situation where prices rise too far or too quickly. But that definition is too shallow to be useful.

Markets can rise for long periods for rational reasons: productivity growth, falling interest rates, or structural changes in how economies operate. Rising prices alone do not define a bubble.

A more accurate way to think about a bubble is as a process rather than a level. It is a self-reinforcing cycle in which expectations about the future begin to grow faster than the economy’s ability to realistically deliver those expectations in the present.

That cycle tends to follow a familiar pattern. Rising prices attract attention. Attention brings in more capital. That capital pushes prices higher again, reinforcing the belief that the trend is justified. Over time, narratives strengthen and become more confident. What begins as cautious optimism can gradually turn into a widely shared assumption that “this time is different”.

The key issue is the feedback loop between prices, expectations, and capital flows. Once that loop becomes dominant, traditional measures like earnings or cash flow can matter less in the short term than momentum and belief.

Common Ingredients in Past Bubbles

While every bubble has its own context, they often share structural similarities. Importantly, these similarities appear across very different sectors and time periods, suggesting that bubbles are not anomalies but recurring financial dynamics.

One of the clearest historical examples is the Railway Mania of the 1840s. Railways were a genuine technological breakthrough that transformed trade, mobility, and industrial production. However, massive amounts of capital were deployed on the assumption that demand and profitability would match the speed of expansion. In practice, many routes were overbuilt, returns were uneven, and expectations about short-term profitability were overly optimistic. The key point is that railways were not a “bad idea”. They were a transformative infrastructure system whose financial expectations moved ahead of reality.

A more modern example is the dot-com bubble of the late 1990s. The internet was a genuine technological shift with long-term economic significance. However, capital flooded into companies simply because they were associated with the internet, regardless of whether they had viable business models or earnings potential. Valuations expanded rapidly, often based on traffic, growth projections, or narrative appeal rather than profitability. Many firms failed, but the underlying technology did not. The issue was timing and pricing, not direction.

Crypto markets offer a more recent example of similar behaviour, though with a different mechanism. Rather than infrastructure or corporate earnings, crypto cycles have been heavily driven by liquidity conditions, retail participation, and narrative momentum. Prices have often moved sharply in response to sentiment shifts, with booms and corrections occurring in relatively short cycles. While blockchain technology has clear use cases, pricing has frequently reflected expectations and liquidity conditions more than adoption or cash-flow generation.

Across all three cases, a consistent structure appears. Each involved a genuine underlying shift, whether technological or financial. Each was characterised by uncertainty about future winners and timelines. Each attracted significant inflows of capital. And each saw narratives grow stronger as prices rose.

The common thread is not irrationality, but acceleration. When capital, narrative, and expectation reinforce each other, pricing can detach from measurable outcomes for extended periods.

Where AI Fits in

Artificial intelligence sits in a more complex position than most historical examples because it contains elements of all three patterns.

In some ways, AI resembles the railway era. It is not purely a software phenomenon but a capital-intensive infrastructure buildout. The expansion of data centres, semiconductor supply chains, and energy demand reflects a physical investment cycle similar to earlier industrial transformations. Recent estimates suggest that global investment in AI infrastructure is already running at hundreds of billions of dollars annually, with further growth expected as demand increases . This creates uncertainty around long-term utilisation, efficiency, and returns on investment, similar to earlier infrastructure booms.

In other ways, AI resembles the dot-com period. It is widely seen as a general-purpose technology that will reshape industries, productivity, and business models. This has led to rapid valuation expansion in both public and private markets, often driven by expectations of future dominance rather than current profitability. As with the internet, there is little disagreement that the underlying technology is real. The uncertainty lies in how quickly value will be captured, and which firms will ultimately benefit.

Finally, AI also shares characteristics with crypto cycles. The speed of capital inflows, the intensity of media attention, and the momentum-driven nature of certain market segments all contribute to rapid repricing. Investor behaviour can become self-reinforcing, particularly in sectors where future outcomes are highly uncertain and widely debated.

At the same time, there are important differences that make AI harder to classify. Unlike many historical bubbles, AI is already being integrated into real business processes across industries. Productivity gains are being reported in specific use cases, and major technology firms are generating substantial revenues while simultaneously investing heavily in further expansion. This means the boundary between speculative expectation and actual economic utility is less clear than in previous cycles.

The result is a more ambiguous picture. AI shares characteristics with historical bubbles, but it also sits on top of genuine and already-deploying technological infrastructure. That combination makes it difficult to determine whether current pricing reflects excessive optimism or a rational, if highly uncertain, discounting of future productivity gains.

Are We in a Bubble?

The challenge with bubbles is rarely identifying them in hindsight. It is recognising the conditions that tend to produce them while they are still forming.

Financial history suggests that bubbles are not rare exceptions. They are recurring phases that emerge when genuine technological or economic shifts interact with uncertainty, capital availability, and rapidly changing expectations.

Artificial intelligence may ultimately prove to be one of the most important technological developments in decades. It may also pass through periods where expectations outpace measurable outcomes. Both things can be true at the same time.

The more useful question is not whether a bubble exists in isolation, but how far expectations are moving relative to what can realistically be delivered in the near term.

💼 Unpacked

Hyperscaler

A hyperscaler is a company that operates massive cloud computing and data centre infrastructure at global scale. Firms such as Amazon, Microsoft and Google are considered hyperscalers because they can rapidly expand computing capacity to support millions of users and businesses.

Capital Expenditure (CapEx)

Capital expenditure, or CapEx, is money spent by a business on long-term assets that are expected to generate value over many years. Examples include building factories, purchasing equipment, constructing data centres, or upgrading infrastructure.

Market Cycle

A market cycle describes the recurring pattern of expansion and contraction in asset prices over time. Cycles often move through phases of optimism, growth, peak valuations, decline, and recovery.

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Sources

Anthropic raises $65bn at $965bn valuation, surpassing OpenAI

Reuters

https://www.reuters.com/business/anthropic-raises-65-billion-now-valued-at-965-billion-2026-05-28/

AI infrastructure boom and capital expenditure trends (data centre expansion and investment scale)

Knight Frank Research – AI & infrastructure analysis

https://www.knightfrank.co.uk/research/article/2026/4/artificial-intelligence-trillion-dollar-question

AI infrastructure debt financing and hyperscaler investment cycle (Anthropic expansion funding structure)

Reuters (Bloomberg-reported deal via Reuters syndication)

https://www.reuters.com/business/apollo-blackstone-work-36-billion-debt-deal-anthropic-bloomberg-news-reports-2026-05-28/

Crypto market cycles and speculative asset behaviour (market structure overview)

Bank for International Settlements (BIS) crypto reports

https://www.bis.org/publ/arpdf/ar2023e3.htm

Featured Image: PickPik

The instinctive response seems simple. If deficits are expensive and debt interest is consuming more public money every year, why not just balance the budget and stop borrowing? Yet despite decades of political promises, modern economies rarely manage it for long. So why is balancing the budget so difficult in practice?

Why Deficits Have Become a Permanent Feature of Modern Economies

Governments today are expected to play a far larger economic role than they did several decades ago. Public spending no longer focuses narrowly on defence, policing, and basic infrastructure. Modern states fund healthcare systems, pensions, welfare support, education, transport networks, housing programmes, industrial subsidies, and crisis support during recessions or emergencies. Many of these obligations expand automatically as populations age or economic conditions weaken, meaning spending pressures continue rising even when governments attempt restraint elsewhere.

Demographics are one of the clearest structural pressures. An ageing population raises healthcare and pension costs while the share of working-age taxpayers gradually declines. This creates a long-term fiscal imbalance that is difficult to reverse because pension systems and healthcare services affect millions of people directly, making reductions politically contentious.

Economic shocks have also reshaped how governments operate. During the 2008 financial crisis, states intervened to stabilise banking systems and support collapsing economies. Borrowing rose sharply to prevent deeper recessions, while interest rates remained historically low for more than a decade, reducing pressure on public finances. At very low borrowing costs, governments can sustain deficits more easily because debt servicing remains manageable.

The pandemic reinforced this pattern. Governments borrowed heavily to fund furlough schemes, healthcare systems, and emergency support. In the UK, borrowing exceeded £300 billion at the peak, as the state absorbed much of the economic shock. These interventions were widely seen as necessary to prevent deeper collapse.

Repeated crises have changed expectations of fiscal policy. Governments are now expected to intervene during downturns, energy shocks, or sector instability. Deficits therefore become embedded in how modern states respond to economic volatility.

Political incentives also make balanced budgets difficult to sustain. Spending cuts create visible costs, while tax rises are unpopular. Borrowing becomes the path of least resistance because it delays trade-offs between competing priorities.

As a result, persistent deficits are less unusual than many assume. The more relevant question is whether they remain manageable relative to growth and borrowing costs.

Why the Situation Feels Far More Serious Today

The UK has carried large public debts before, so the existence of debt alone does not explain why fiscal concerns have intensified. The key change is the cost of servicing that debt.

For much of the 2010s, exceptionally low interest rates made borrowing relatively cheap, allowing debt to rise without a proportional increase in debt interest payments. That environment has now shifted. Higher inflation forced central banks, including the Bank of England, to raise interest rates, increasing government borrowing costs.

UK debt interest spending is now around £110 billion in 2025/26, equivalent to roughly 8% of public spending. In April 2026 alone, debt interest reached £10.3 billion, the highest April figure on record.

Debt interest does not fund services. It reflects the cost of past borrowing. As these payments rise, governments face harder choices between maintaining spending, raising taxes, or increasing borrowing.

Weak productivity growth has added to the pressure by limiting tax revenue growth. Strong growth eases fiscal strain by raising incomes and profits, while weak growth reduces revenue and often increases demand for public support.

At the same time, structural spending pressures continue to rise. Ageing populations increase healthcare and pension costs, while defence and welfare spending remain sensitive to geopolitical and economic conditions.

These pressures explain why fiscal debates have become more contested. Some argue for tighter control of borrowing to restore fiscal credibility. Others warn that excessive cuts or tax rises could weaken growth and worsen long-term debt dynamics. The UK’s experience during the austerity period reflects this unresolved tension between fiscal restraint and economic performance.

What Would Actually Be Required to Balance the Budget?

Balancing the budget is straightforward in theory. Governments can reduce spending, increase taxes, grow the economy faster, or combine these approaches. The difficulty lies in implementation.

Spending reductions inevitably affect major areas such as healthcare, pensions, welfare, and debt interest itself. These are politically sensitive and economically significant, making large cuts difficult without broader consequences. Even reductions in investment spending can have long-term costs if they weaken infrastructure or public services.

Tax increases also face constraints. Governments can raise revenue through income tax, corporation tax, VAT, or capital gains tax, but sustained increases affect household spending, business investment, and political support. The UK tax burden is already high by historical standards, limiting room for further increases.

Growth is often seen as the most sustainable solution because it naturally increases tax revenue. However, governments cannot directly control productivity, investment, or global economic conditions. Growth depends on long-term structural factors that evolve slowly.

A key distinction often overlooked is between reducing the deficit and eliminating debt. The deficit is the annual gap between spending and revenue, while debt is the cumulative result of past borrowing. Governments can reduce deficits significantly while still carrying high debt levels for decades.

Most advanced economies therefore focus on whether debt remains sustainable relative to GDP rather than eliminating it entirely. If growth is strong enough and borrowing costs remain stable, higher debt levels can be maintained without immediate fiscal crisis.

Problems arise when debt grows faster than economic output or when interest payments consume a rising share of public spending. This reduces fiscal flexibility and limits governments’ ability to respond to future shocks.

Will the Budget Ever Be Balanced?

Balancing the budget is technically possible, but far more difficult in practice than political debate suggests. Modern governments face persistent spending pressures, while weaker growth and higher borrowing costs have made debt more expensive to sustain.

This does not mean deficits are irrelevant. Rising debt interest payments reduce fiscal flexibility and constrain future budgets, forcing trade-offs between spending, taxation, and borrowing.

However, the issue is not simply whether balancing the budget is mathematically achievable, but whether it can be done without damaging growth, public services, and long-term economic stability. The challenge is therefore one of trade-offs rather than arithmetic.

💼 Unpacked

Budget deficit
The gap between what a government spends and what it receives in revenue over a single year. If spending is higher than income, the government runs a deficit and typically finances it through borrowing.

National debt
The total accumulated amount a government owes from past borrowing. It builds over time as annual deficits are added together, minus any repayments or surpluses.

Debt interest
The cost of servicing government borrowing. It is the interest paid to lenders who hold government bonds. Higher debt or higher interest rates increase this cost, reducing funds available for other public spending.

Structural deficit
A persistent shortfall between government spending and revenue that exists even when the economy is performing normally. It reflects long-term imbalances in tax and spending rather than temporary downturns or crises. Structural deficits are common in several advanced Western economies.

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Primary Sources

What are government debt and debt interest?

Source: House of Commons Library
House of Commons Library briefing

Public sector finances, UK: April 2026

Source: Office for National Statistics
ONS statistical bulletin

Public sector finances, UK: February 2026

Source: Office for National Statistics
ONS statistical bulletin

Debt Management Report 2026-27

Source: UK Government
UK Government report

UK borrows more than forecast in April as inflation adds to benefits bill

Source: The Guardian
Guardian article

Featured Image: Pexels

Yet many households across the UK still feel stretched despite inflation sitting far below the double-digit peaks reached during the cost-of-living crisis. Consumer Price Index (CPI) inflation stood at 3.3% in the year to March 2026. On paper, that suggests conditions are improving. In practice, many people still face high grocery bills, rising housing costs, expensive transport, and elevated insurance premiums.

Part of the disconnect comes from how inflation is measured and discussed. Headline CPI inflation figures provide a broad average across the economy, but they cannot fully capture how different households experience rising prices or whether incomes are keeping pace with costs. Understanding whether prices are genuinely becoming more manageable requires looking beyond a single number and examining the pressures shaping the economy underneath the surface.

Inflation Slowing Does Not Mean Prices Are Falling

One of the most common misunderstandings surrounding inflation is the belief that lower inflation means prices are becoming cheaper again. In reality, inflation measures the speed at which prices are rising, not whether prices are returning to previous levels. When inflation falls from 10% to 3%, prices are still increasing overall. They are simply increasing more slowly than before.

A straightforward example illustrates why this distinction matters so much. Imagine a shopping basket costs £100. If inflation runs at 10% over the next year, that basket rises to £110. If inflation then falls to 3% the following year, the basket rises again to £113.30. Inflation fell sharply between those two years, but prices still moved higher overall. The original £100 price level never returned.

This cumulative effect explains why many households continue feeling under financial pressure even after inflation has moderated substantially from its peak. Prices across large parts of the economy remain permanently higher than they were several years ago, and those increases compound over time. Food, transport, housing costs, and services have all experienced sustained upward pressure since the pandemic period and the energy crisis that followed Russia’s invasion of Ukraine.

The latest inflation data reflects that continued upward movement in prices. The Office for National Statistics reported that CPIH, which includes owner occupiers’ housing costs, rose by 3.4% in the year to March 2026, while standard CPI inflation reached 3.3%. On a monthly basis alone, CPIH increased by 0.6% during March. Fuel prices were among the most significant contributors to the increase, partly reflecting rising global energy prices and geopolitical tensions affecting oil markets.

For many people, inflation is experienced psychologically through repeated purchases rather than annual averages. Grocery shopping is one of the clearest examples. Consumers notice when staple items rise consistently in price because those purchases happen every week. The comparison is immediate and personal. Someone who remembers paying substantially less for milk, bread, takeaway meals, or cooking oil a few years ago may feel that inflation remains severe even if official figures suggest the pace of price increases has slowed.

That perception is often grounded in reality. An analysis shared widely online earlier this year tracked hundreds of products within the ONS inflation basket between 2020 and 2025. Only a small minority became cheaper during that period. Many everyday items recorded extremely large cumulative increases, including olive oil, baked beans, semi-skimmed milk, and fish and chips. Food and drink categories experienced some of the strongest rises overall.

This is where headline inflation numbers can become misleading if viewed in isolation. Inflation falling does not erase previous price increases. It only changes the rate at which new increases occur. Households are therefore making financial decisions within an economy where the overall price level remains significantly higher than it was before the inflation surge began.

Your Personal Inflation Rate May Look Very Different From the National Average

Another important limitation of headline inflation figures is that they represent an average across millions of households with completely different spending patterns. Two families living in the same city can experience inflation very differently depending on where their money goes each month.

Lower-income households typically spend a larger share of their income on essentials such as food, rent, utilities, and transport. Those categories often leave little room for adjustment because they are unavoidable. When food prices or housing costs rise sharply, the impact can feel immediate and severe because essentials already account for such a large proportion of overall spending.

Higher-income households generally have greater flexibility within their budgets and may spend more on discretionary purchases, travel, entertainment, or technology. Some of those categories can experience slower price growth or periods of price competition, particularly within consumer electronics. As a result, the lived experience of inflation can vary substantially even while the official inflation rate remains identical for everyone.

The Office for National Statistics explicitly acknowledges that inflation affects households differently depending on the goods and services they buy most frequently. This matters because people naturally judge the economy through the prices they encounter most often in their daily lives. A commuter who spends heavily on fuel and transport may feel inflation intensely during periods of rising oil prices. A renter facing annual increases in housing costs may feel persistent financial pressure even if inflation elsewhere in the economy moderates.

Housing provides one of the clearest examples of how personal inflation can diverge from the headline figure. Someone locked into a low fixed-rate mortgage secured several years ago may have experienced relatively stable housing costs until recently. Meanwhile, renters facing rising monthly payments or homeowners refinancing onto significantly higher mortgage rates can see their housing expenses jump dramatically within a short period of time. Those increases often dominate household finances far more than changes in other categories.

Services inflation has become particularly important in this context. Services inflation measures price increases across areas such as hospitality, insurance, transport services, professional services, and recreation. In the UK, services inflation remained elevated at 4.5% in March 2026, notably higher than the broader inflation rate.

This category matters because services make up a large share of modern household spending and tend to be closely linked to wages and domestic economic conditions. Insurance premiums, restaurant prices, childcare costs, repairs, subscriptions, and transport services all fall within this area. Unlike commodity-driven price shocks, services inflation can remain persistent because it is often tied to labour costs and ongoing demand within the domestic economy.

That persistence partly explains why central banks remain cautious even when headline inflation begins moving lower. Falling energy prices can temporarily ease overall inflation figures, but if services inflation remains elevated, policymakers may worry that broader price pressures are becoming more deeply embedded throughout the economy.

The result is that households can continue feeling financial strain even during periods when inflation headlines appear relatively reassuring. Their personal inflation rate may simply look very different from the national average being reported each month.

Looking Beyond the Headline Number

CPI inflation remains an important economic indicator because it shapes interest rates, wage negotiations, pensions, government spending decisions, and financial markets. However, anyone trying to assess whether prices are genuinely becoming more manageable should look at several additional indicators that provide deeper context about how inflation is developing beneath the surface.

One of the most important measures is real wage growth. For most households, the key question is not simply whether prices are rising, but whether incomes are keeping pace with those rising costs. If wages grow faster than inflation, purchasing power improves because households can afford more goods and services overall. If inflation rises faster than wages, living standards effectively fall even if nominal pay increases continue.

This relationship between wages and prices often shapes how people feel about the economy far more than inflation alone. The UK’s National Living Wage increased to £12.71 per hour in April 2026, representing a 4.1% increase. Whether that improvement feels meaningful depends heavily on the costs households face elsewhere. Someone experiencing sharply higher rent, transport costs, or insurance premiums may still feel financially stretched despite receiving a pay rise.

Services inflation also deserves close attention because it provides insight into how persistent domestic inflationary pressures may be. Goods inflation can sometimes ease relatively quickly if supply chains improve or commodity prices fall. Services inflation tends to move more slowly because it is tied more closely to labour costs and ongoing demand within the economy. When services inflation remains elevated, central banks often become more cautious about reducing interest rates too quickly.

Another useful indicator sits earlier in the inflation pipeline. Producer Price Inflation, commonly referred to as PPI, measures changes in the costs businesses face when purchasing materials and producing goods. In many cases, rising producer costs eventually filter through to consumers in the form of higher retail prices.

The latest ONS data showed that producer input prices rose by 5.4% in the year to March 2026, while factory gate output prices rose by 2.6%. Importantly, the largest upward contribution came from crude oil inputs, where prices rose dramatically during the month.

This matters because inflation does not suddenly appear at supermarket shelves or in monthly household bills. It often moves gradually through supply chains. Businesses facing higher costs for energy, materials, transport, or imported goods may eventually attempt to pass some of those increases onto consumers. That process can take time, which means rising producer prices can sometimes act as an early warning sign for future consumer inflation.

Import costs are also becoming increasingly important in understanding inflationary pressure within the UK economy. The UK imports a large amount of energy, raw materials, food products, and manufactured goods. When import prices rise, businesses often face higher operating costs long before households feel the direct effects themselves.

According to the ONS, the Import Price Index rose by 4.2% in the year to March 2026, partly driven by higher crude petroleum prices. Global events can therefore feed directly into domestic inflation. Geopolitical tensions, shipping disruptions, tariffs, commodity shortages, and exchange rate movements can all influence the prices businesses pay for imported goods and materials.

Currency movements play an especially important role in this process. A weaker pound increases the cost of imports priced in foreign currencies, which can eventually push domestic prices higher across a wide range of products. Consumers may never directly see those underlying pressures, but they often experience the consequences later through higher retail prices.

Taken together, these indicators provide a much fuller picture of inflation than headline CPI alone. They help explain not only where inflation currently stands, but also why prices may continue rising in certain parts of the economy even when broader inflation figures appear relatively stable.

The Broader Picture Behind Inflation

Headline inflation remains one of the most important indicators in the economy because it influences interest rates, wages, pensions, and government policy. However, it only provides a broad snapshot of price pressures across the country.

For most households, the key issue is ultimately purchasing power. Even when inflation slows, people still feel financially stretched because many prices remain far higher than they were a few years ago. Grocery bills, rent, transport, and insurance costs rarely return to previous levels once they rise, meaning the pressure created during periods of high inflation can continue long after the headline inflation rate itself starts falling.

Looking beyond CPI inflation provides a fuller picture of what is happening beneath the surface of the economy. Those indicators help explain why inflation can feel very different from the headline number and why some households continue feeling squeezed even during periods when official inflation appears to be easing.

Unpacked

Consumer Price Index (CPI)

The Consumer Prices Index (CPI) is the UK’s main measure of inflation. It tracks how the prices of a basket of goods and services, including food, transport, and clothing, change over time.

Real wage growth

Real wage growth measures how wages are changing after adjusting for inflation. If wages rise faster than prices, purchasing power improves. If inflation rises faster than wages, living standards can come under pressure.

Services inflation

Services inflation measures price increases across services such as hospitality, insurance, transport, and subscriptions. It is closely watched because it often reflects domestic wage pressures and can remain elevated for longer than goods inflation.

Producer Price Inflation (PPI)

Producer Price Inflation measures changes in the costs businesses pay for materials and production, as well as the prices manufacturers charge for goods leaving factories. It can act as an early indicator of future consumer price pressures.

Factory gate output prices

Factory gate output prices measure the prices manufacturers charge when goods leave the factory before reaching retailers or consumers. Changes in these prices show how much cost pressure is being passed through the production chain to the wider economy.

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Sources

• Consumer price inflation, UK: March 2026 — Office for National Statistics
  ONS Consumer Price Inflation Bulletin

• Consumer price inflation, UK: March 2026 release — Office for National Statistics
  ONS CPI Release Page

• Producer price inflation, UK: March 2026 including services — Office for National Statistics
  ONS Producer Price Inflation Bulletin

• Producer price inflation statistics — Office for National Statistics
  ONS Producer Price Inflation Statistics

Featured Image: Basket of groceries, Roboflow

From May 2026, the Renters’ Rights Act introduced one of the most significant overhauls of the private rental market in decades. It abolished so-called “no-fault” evictions, tightened rules around rent increases, and moved most tenancies onto rolling contracts. Around 11 million renters are now covered by stronger protections designed to increase stability and rebalance a system long criticised as favouring landlords.

At the same time, political pressure for further intervention has intensified. Reports emerged that Chancellor Rachel Reeves had considered a temporary rent freeze before the idea was quickly dismissed. Meanwhile, similar proposals have gained traction elsewhere, including in New York, where policymakers have explored rent freezes and higher taxes on property owners.

Housing policy is increasingly focused on providing immediate relief to renters facing instability. But the effects of that intervention are rarely risk-free.

Immediate Relief is Real, and Politically Unavoidable

There is a clear rationale behind the recent wave of housing policy. Over the past decade, renting has become a long-term reality for a growing share of the population. Homeownership among younger households has fallen significantly, while the private rental sector has expanded. For many, renting is no longer a temporary stage but a permanent arrangement.

The Renters’ Rights Act attempts to reflect that shift. By ending no-fault evictions, it removes a key source of insecurity. Tenants can no longer be asked to leave without a valid legal reason, which reduces the risk of sudden displacement. Rent increases are now limited in frequency and must follow a formal process, making costs more predictable. Fixed-term contracts have largely been replaced by rolling agreements, giving tenants more flexibility to leave while also strengthening their right to remain.

These changes address tangible problems. Under the previous system, tenants could face eviction for requesting repairs or simply because a landlord wanted to raise the rent. Housing insecurity affected decisions about work, schooling, and family life. The new rules aim to create a baseline level of stability that allows renters to plan ahead rather than react to uncertainty.

Proposals such as a rent freeze build on that logic. Campaign groups have argued that a temporary freeze could save renters hundreds of pounds a year, offering immediate financial relief at a time of pressure on household budgets. Politically, this is difficult to ignore. Housing costs are visible, immediate, and widely felt. Any government facing pressure from voters is likely to prioritise measures that produce quick, measurable effects.

But stability introduced through policy does not exist in isolation. Once expectations shift, behaviour follows.

The Anticipation Effect

The surge in eviction notices before the new law came into force is not an anomaly. It is an example of how housing markets respond to the expectation of policy, not just the policy itself.

Landlords, like any economic agents, make decisions based on future constraints as well as current rules. When they anticipate that their ability to adjust rents or regain possession will be limited, they act while those options are still available. In this case, that meant issuing eviction notices ahead of the ban on no-fault evictions.

This behaviour is not limited to evictions. Surveys suggest that a significant share of landlords are already planning rent increases, with many explicitly citing upcoming regulatory changes as a factor shaping their decisions. The logic is straightforward. If rent increases are going to be restricted in the future, there is an incentive to adjust prices beforehand.

Financial markets respond in a similar way. When reports of a potential rent freeze emerged, shares in buy-to-let lenders fell, reflecting expectations of reduced profitability and tighter margins in the sector. The policy itself had not been implemented, but the possibility of it was enough to influence investment decisions.

Policy does not simply change outcomes at a fixed point. It changes the incentives facing individuals, and those incentives begin to influence behaviour as soon as the policy becomes credible.

In housing, this effect is particularly pronounced because decisions are long-term and capital-intensive. Landlords cannot easily adjust their portfolios overnight, so they respond early. Developers, investors, and lenders all operate on similar timelines. By the time a policy is formally introduced, much of its impact has already been absorbed through earlier adjustments.

Stability versus Supply

This is where the tension at the heart of housing policy becomes more visible. Measures designed to provide stability in the short term can lead to adjustments that shape supply over a longer horizon, and those adjustments often begin earlier than expected.

For tenants, the benefits of intervention are immediate and tangible. Greater security, fewer unexpected rent increases, and stronger legal protections all improve day-to-day living conditions. These changes influence whether people feel able to stay in one place, maintain employment stability, or make longer-term plans. The introduction of the Renters’ Rights Act, particularly the abolition of Section 21 evictions, directly addresses these concerns by removing the possibility of being asked to leave without reason.

However, the same policies also change the incentives facing landlords and investors. The surge in eviction activity ahead of the legislation illustrates how quickly behaviour can adjust. Data from landlord services and industry groups suggests that possession instructions rose sharply in the lead-up to the reforms, with some reporting a 60% increase compared with the previous year and a 75% rise in enquiries related to eviction services. This aligns with reporting from solicitors and housing organisations describing a “late flood” of eviction notices as landlords moved to regain control of properties before restrictions took effect.

This pattern matters because it shows how policy affects supply indirectly. When landlords expect future constraints, they act to preserve flexibility while they still can. In practice, that can mean bringing forward evictions, raising rents earlier than planned, or reconsidering whether to remain in the market at all. These decisions directly influence how many properties are available to rent and under what conditions.

International evidence helps to clarify how these dynamics can play out over time. In cities where rent controls have been introduced or expanded, there is consistent evidence that landlord behaviour shifts in response to reduced flexibility. One widely cited study of rent control in San Francisco found that landlords reduced the supply of rental housing by converting properties to other uses or selling them, leading to a measurable decline in available rental units. Over time, this contributed to higher rents in the uncontrolled segment of the market.

A similar pattern has been observed closer to home. In Wales, where reforms strengthened tenant protections, landlord groups reported a sharp increase in possession claims, in some cases rising by over 100%, as landlords adjusted to the new legal environment. While the policy improved security for existing tenants, it also coincided with signs that some landlords were reconsidering their participation in the market.

The mechanism behind these outcomes is relatively straightforward, but often overlooked. Rental housing supply is not fixed. It depends on a series of individual decisions made by landlords, developers, and investors. When regulation increases uncertainty or reduces expected returns, some of those participants step back. This does not always lead to an immediate drop in supply, but over time it can slow the rate at which new housing is added or accelerate the rate at which existing stock leaves the market.

This is why the trade-off is not simply a question of choosing between tenant protection and market efficiency. The two are linked through behaviour. Policies that improve stability for current renters can alter the incentives that determine future availability. The effects do not appear all at once. They emerge gradually, through decisions that are often made well before any formal change takes effect.

Is The Trade-Off Worth It?

Housing policy is trying to address a real and immediate problem. It affects where millions of renters live, how they work, and how they plan their lives. Measures that increase security and predictability are therefore both politically and socially significant.

At the same time, housing markets operate on expectations and incentives. The moment intervention becomes likely, behaviour begins to adjust as landlords bring forward decisions, investors reassess returns, and markets reprice risk. The trade-off lies in how renters, landlords, and investors respond to those changes over time. Policies designed to stabilise the present can still shape the housing market for years to come.

💼 Unpacked

Rent Control / Rent Freeze
Policies that limit or prevent rent increases. A rent freeze keeps rents fixed for a period of time, while rent control usually restricts how much landlords can increase rents over the longer term. Supporters argue they improve affordability and stability, while critics warn they can discourage investment and reduce rental supply.

No-Fault Eviction (Section 21)
A legal process previously used in England that allowed landlords to evict tenants without giving a reason, provided proper notice was given. Under the Renters’ Rights Act, Section 21 evictions are being abolished to provide tenants with greater security and stability.

Housing Supply
The number of homes available to rent or buy. Housing supply is influenced by construction, planning rules, investment, and landlord participation in the market. When supply fails to keep up with demand, rents and house prices often rise.

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Sources and Further Reading

Solicitors report late flood of no-fault evictions before ban in England — The Guardian — https://www.theguardian.com/society/2026/apr/30/late-flood-no-fault-evictions-ban-england-renters-rights-act

The Guardian view on the Renters’ Rights Act — The Guardian — https://www.theguardian.com/commentisfree/2026/may/05/the-guardian-view-on-the-renters-rights-act-finally-protections-fit-for-the-modern-housing-market

Senior UK ministers deride Rachel Reeves’s reported plan of year-long rent freeze — The Guardian — https://www.theguardian.com/politics/2026/apr/29/senior-uk-ministers-deride-reeves-year-long-rent-freeze

No 10 dismisses Reeves’s reported plan for freeze on private rents — The Guardian — https://www.theguardian.com/politics/2026/apr/28/no-10-dismisses-reeves-reported-plan-for-freeze-on-private-rents

UK’s Reeves says she will do what she can to help renters — Reuters — https://www.reuters.com/world/uk/uks-reeves-says-she-will-do-what-she-can-help-private-sector-renters-2026-04-28/

UK Government — Renters’ Rights Act overview — https://www.gov.uk/government/news/when-will-the-renters-right-act-come-into-force

Shelter — Renters’ Rights Act changes for private renters — https://england.shelter.org.uk/housing_advice/private_renting/renters_rights_act_changes_for_private_renters

Mortgage Solutions — Renters’ Rights Act ushers in biggest rental overhaul in 40 years — https://www.mortgagesolutions.co.uk/mortgage-news/2026/05/01/renters-rights-act-ushers-in-biggest-rental-overhaul-in-40-years/

Property118 — Landlords planning rent increases amid policy changes — https://www.property118.com/reeves-rent-freeze-idea-clashes-with-landlord-rent-rise-plans/

Generation Rent — Rent freeze could save renters over £300 a year — https://www.generationrent.org/2026/04/28/rent-freeze-could-save-renters-over-300-a-year-press-release/

The Negotiator — Rent controls in New York and Scotland — https://thenegotiator.co.uk/news/regulation-law-news/rent-controls-in-new-york-and-scotland-london-next/

Core academic evidence on San Francisco rent control and supply reduction

Diamond, McQuade & Qian (2019) – The Effects of Rent Control Expansion on Tenants, Landlords, and Inequality (American Economic Review / NBER Working Paper)
https://www.nber.org/papers/w24181

Supporting empirical mechanism (landlord response, evictions, supply withdrawal)

Asquith (2019) – Do Rent Increases Reduce Housing Supply Under Rent Control? Evidence from San Francisco
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3165599

Supplementary academic version / replication of San Francisco findings

Diamond et al. – SSRN / Stanford-related working paper version (rent control and supply contraction)
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3097954

Featured Image 2: Geograph

It is tempting to focus on the individual. Warsh’s past speeches, his voting record, his preferences. But central banking does not change because of one person alone. It changes when the underlying way of thinking shifts. That is where this moment becomes more interesting. Markets are not just watching who takes the chair. They are trying to work out whether the Fed itself is about to think differently.

A Shift in Priorities: Inflation, Growth, and the Size of the Fed

At the core of monetary policy is a simple but difficult trade-off. Bringing inflation down often requires slower growth or weaker hiring, while supporting the economy can allow price pressures to persist. Where a central bank chooses to sit along that trade-off tells you a great deal about how it thinks.

In recent years, the Federal Reserve has leaned toward flexibility. After the pandemic, policymakers were willing to tolerate higher inflation for a period in order to support the recovery. That approach ultimately gave way to one of the fastest tightening cycles in decades when inflation proved more persistent than expected. Even now, inflation remains above target, keeping that tension between price stability and growth firmly in place.

Kevin Warsh’s record suggests a different weighting of that balance. His public comments and past decisions point to a stronger emphasis on inflation risks and the importance of credibility. That does not mean ignoring growth altogether, but it does imply a lower tolerance for letting inflation drift in the hope that it will resolve on its own. The practical effect of that shift is not dramatic in isolation, but it changes the threshold for action. Rate cuts become harder to justify, and policy is less likely to ease at the first signs of economic weakness.

Where this becomes more interesting is in how that philosophy extends beyond interest rates. Warsh has consistently argued that monetary policy is not just about the level of rates, but also about the size and role of the central bank itself. In particular, he has been critical of the Federal Reserve’s balance sheet, which expanded significantly through years of bond-buying programmes and still remains elevated even after recent reductions.

His concern is not purely technical. He has argued that a persistently large balance sheet can distort financial markets, influence asset prices, and potentially contribute to inflationary pressures over time. The implication is that monetary policy has become too reliant on expanding the central bank’s footprint, rather than operating through more traditional tools.

This leads to a different way of thinking about policy. Instead of relying heavily on asset purchases and a large stock of holdings, the preference shifts toward a smaller balance sheet and a greater emphasis on interest rates as the primary tool. Warsh has suggested that reducing the balance sheet should go hand in hand with rate decisions, rather than being treated as a separate or secondary process.

However, this is where the theory runs into practical constraints. The Federal Reserve’s balance sheet has already been reduced by more than $2 trillion since 2022, yet financial conditions have not tightened as much as many expected. The modern financial system now relies on a high level of reserves, and shrinking the balance sheet too aggressively risks disrupting funding markets or reducing the Fed’s control over interest rates.

Even Warsh himself has acknowledged that any reduction would need to be gradual and carefully managed. That tension is important. It highlights that the debate is not simply about whether the balance sheet should be smaller, but about how far it can realistically be reduced without creating new risks.

Taken together, this points to a broader shift in priorities. It is not only about being stricter on inflation. It is about redefining the role of the central bank, moving toward a model that does less through its balance sheet and relies more heavily on conventional policy tools. That shift, if it materialises, would shape how policy is delivered just as much as the decisions themselves.

The Reaction Function

Central banks are often described in terms of their targets, but just as important is how they respond to incoming data. Economists call this the “reaction function”. It is the internal logic that determines how quickly policy changes when the economy moves.

In recent years, the Fed has leaned toward a more cautious, data-dependent approach. Policymakers have waited for clearer evidence before acting, particularly after being criticised for moving too slowly on inflation earlier in the cycle. That caution is visible today in the reluctance to cut rates despite signs of slowing momentum.

A shift in thinking could change that timing. A Fed that places more weight on inflation risks may act earlier, tightening policy pre-emptively rather than waiting for inflation to fully materialise. At the same time, it may delay rate cuts even as growth weakens, requiring stronger evidence that inflation is under control.

This is not theoretical. The current Fed is already showing signs of internal disagreement, with recent decisions producing the most divided votes in decades. Warsh himself has indicated that he expects more debate within the committee, describing the policymaking process as one that should involve a “family fight” rather than consensus for its own sake.

The result is a more uncertain path for policy. Decisions become less predictable, and markets are forced to respond more directly to economic data rather than relying on a clear, steady signal from the central bank.

How the Fed Speaks

If interest rates are the visible part of monetary policy, communication is the mechanism that moves markets ahead of those decisions. Forward guidance, press conferences, and official statements shape expectations long before any rate change actually happens.

This is another area where a shift could emerge. Warsh has been critical of the Fed’s reliance on forward guidance and its broader communication strategy. He has argued that excessive signalling can create complacency in markets, encouraging investors to rely on central bank support rather than underlying economic conditions.

That critique matters because it challenges a key feature of modern central banking. Over the past decade, the Fed has placed increasing emphasis on transparency and guidance, using communication as a tool to stabilise markets. If that approach is scaled back, the consequences are immediate.

Markets would receive fewer clear signals about the future path of rates. Expectations would become more sensitive to each data release. Volatility would increase, not necessarily because policy is more aggressive, but because it is less clearly communicated in advance.

There is already evidence that communication is becoming a point of tension within the Fed. Disagreements over a single line in policy statements have been enough to trigger dissent among policymakers, particularly when that language shapes expectations about future rate cuts.

A change in communication style may sound technical, but it directly affects how financial conditions evolve. When expectations shift, markets move. When markets move, borrowing costs and asset prices follow.

What This Means for You

For most people, central banking feels distant. Decisions made in Washington do not immediately connect to everyday choices. But the transmission is more direct than it appears.

If interest rates stay higher for longer, borrowing becomes more expensive. Mortgage rates remain elevated, making it harder to buy or refinance a home. Businesses face higher financing costs, which can slow hiring and investment. At the same time, savers may benefit from higher returns on deposits and fixed-income assets.

A more pre-emptive approach to policy means the economy may slow earlier in the cycle, even before inflation becomes a visible problem. That can show up in the job market, where hiring becomes more cautious. It can also affect financial markets, where asset prices adjust more quickly to changing expectations.

Changes in communication matter as well. If the Fed provides less forward guidance, markets become more reactive. That can lead to sharper moves in interest rates, equities, and currencies, even in response to relatively small pieces of data.

The important point is that none of this requires a dramatic policy shift. Even a subtle change in how the Fed prioritises inflation, responds to data, or communicates its intentions can reshape the environment that households and businesses operate in.

And that process does not wait for official announcements. Markets begin adjusting as soon as they sense a change in direction.

💼 Unpacked

Reaction Function
A central bank’s reaction function describes how it adjusts interest rates in response to changes in inflation, growth, and employment. It reflects the underlying strategy guiding decisions, including how quickly policymakers act and which risks they prioritise when economic conditions shift.

Forward Guidance
Communication from a central bank about the likely future path of interest rates, used to influence market expectations before policy changes occur.

Central Bank Balance Sheet
The central bank’s balance sheet shows the assets it holds, mainly government bonds, and the money it has created to buy them. Expanding it adds liquidity to the financial system, while reducing it withdraws liquidity and can push up longer-term interest rates.

Hawkish vs Dovish
A hawkish central bank prioritises controlling inflation, often favouring higher interest rates even if growth slows. A dovish stance places more weight on supporting growth and employment, accepting lower rates and a higher tolerance for inflation in the short term.

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Sources

• “Recent inflation data was ‘bad news,’ Fed’s Goolsbee says” — Reuters
  https://www.reuters.com/business/recent-inflation-data-was-bad-news-feds-goolsbee-says-2026-05-02/

• “Warsh May Be Tested Early. It All Depends on Hormuz.” — Barron’s
  https://www.barrons.com/articles/warsh-may-be-tested-early-it-all-depends-on-hormuz-97dfcaaf

• “After Months of Debating Rate Cuts, Fed Shifts Toward Mapping Out Hikes” — Wall Street Journal
  https://www.wsj.com/economy/central-banking/after-months-of-debating-rate-cuts-fed-shifts-toward-mapping-out-hikes-db850f74

• “Fed’s policymaking table is set for the ‘family fight’ Warsh says he wants” — Reuters
  https://www.reuters.com/business/feds-policymaking-table-is-set-family-fight-warsh-says-he-wants-2026-04-28/

• “What Kevin Warsh’s Confirmation Hearing Revealed About the Future of the Fed” — Council on Foreign Relations
  https://www.cfr.org/articles/what-kevin-warshs-confirmation-hearing-revealed-about-the-future-of-the-fed

• “Kevin Warsh’s tenure as Fed governor shaped by inflation concerns” — Yahoo Finance
  https://finance.yahoo.com/news/kevin-warshs-tenure-as-fed-governor-shaped-by-inflation-concerns-central-bank-credibility-182659155.html

• “Why An Inflation Hawk Like Kevin Warsh Might Lower Interest Rates” — Forbes
  https://www.forbes.com/sites/billconerly/2026/02/10/why-an-inflation-hawk-like-kevin-warsh-might-lower-interest-rates/

• “What Could the Fed Look Like Under Kevin Warsh?” — Conference Board
  https://www.conference-board.org/podcasts/c-suite-perspectives/What-Could-the-Fed-Look-Like-Under-Kevin-Warsh

• “What Are Trimmed Mean and Median Inflation Rates?” — Brookings Institution
  https://www.brookings.edu/articles/what-are-trimmed-mean-and-median-inflation-rates-and-why-does-kevin-warsh-prefer-them/

That clarity is beginning to erode. A new category is emerging, one that does not fit neatly into either side of that traditional divide. Banks, platforms, and technology firms are developing tools that do more than simply present information. They guide users through decisions, suggest possible actions, and shape outcomes in subtle but meaningful ways. Yet, despite this influence, they are not formally classified as providing financial advice.

Recent developments in the UK illustrate how quickly this shift is taking place. Lloyds Banking Group has begun piloting an AI-powered investment tool through Scottish Widows. The system is designed to help users navigate investment choices, but it is deliberately framed as “guidance” rather than advice. At the same time, the Financial Conduct Authority is allowing firms to test similar technologies in live environments through its AI testing programme, rather than imposing immediate rules.

These developments point to a broader shift in how financial decisions are being supported and, crucially, how responsibility is being defined. If an algorithm influences the financial decisions you make, but is not technically advising you, the question of accountability becomes harder to answer.

The rise of something in between

To understand what is changing, it is useful to revisit how financial decision-making has traditionally been structured. Financial advice has always been clearly defined and tightly regulated. When an adviser provides a recommendation based on an individual’s circumstances, they are required to ensure that advice is suitable, documented, and compliant with regulatory standards. If the advice proves inappropriate or harmful, there are established mechanisms through which consumers can seek recourse.

At the other end of the spectrum lies self-directed investing. In this case, individuals make their own decisions, relying on publicly available information or personal judgement. The responsibility for those decisions rests entirely with them.

What is emerging now sits between these two models. AI-driven tools are increasingly designed to guide users through financial choices without crossing the threshold into formal advice. They may suggest asset allocations, highlight commonly chosen strategies among similar users, or present a curated set of options based on basic inputs. These features create an experience that feels structured and supportive, reducing the uncertainty that often accompanies financial decision-making.

However, these tools avoid making explicit, personalised recommendations that would bring them within the scope of regulated advice. The investment tool being piloted by Lloyds, for example, has been described as functioning like a “satnav for investments”, helping users navigate options without making decisions for them.

This distinction reflects a conscious effort by firms to operate within a space that allows them to influence decisions while limiting regulatory obligations. The result is the creation of a new category that did not previously exist in such a defined form. It is neither fully independent decision-making nor regulated advice, but a hybrid model in which guidance is provided without the formal responsibilities that traditionally accompany it.

The Regulatory Grey Zone

The emergence of this hybrid category is closely tied to how financial regulation is structured. In the UK, the distinction between advice and guidance determines both the level of oversight and the protections available to consumers. Advice involves personalised recommendations and is subject to strict regulatory requirements. Guidance is broader and carries fewer obligations.

This boundary is now being tested.

The Financial Conduct Authority has been actively reviewing how artificial intelligence could reshape retail financial services, including its impact on competition, market structure, and consumer outcomes. At the same time, it has signalled that it does not intend to introduce entirely new AI-specific rules, instead relying on existing frameworks and principles-based regulation.

Alongside this, the regulator has introduced a new category known as “targeted support”, designed to bridge the gap between full financial advice and generic guidance. This framework aims to help consumers who are currently underserved, with an estimated 23 million people in the UK lacking access to affordable financial advice.

These developments highlight a deeper issue. Accountability does not scale as easily as technology. When a human adviser provides advice, responsibility is clearly defined. When an AI tool influences decisions across a large number of users, the line becomes less obvious. Firms can argue that they are not providing advice, while consumers remain responsible for their own choices.

The challenge becomes more pronounced at scale. AI systems can interact with thousands or even millions of users simultaneously, meaning that small design choices in how options are presented can have widespread effects. Regulatory frameworks, which were built around individual relationships and clearly defined actions, are now having to adapt to systems that operate very differently.

The Behavioural Shift Already Underway

While regulatory frameworks continue to evolve, changes in consumer behaviour are already becoming evident. AI tools are lowering the barrier to engaging with financial decisions, offering users faster and more accessible ways to navigate complex choices. For many, this provides an entry point into investing or financial planning that might otherwise feel out of reach.

There are clear benefits to this shift. Greater accessibility can encourage broader participation in financial markets and reduce reliance on expensive or hard-to-access advisory services. This aligns with wider policy efforts to close the so-called “advice gap” and improve financial inclusion.

However, when users are presented with suggested options or guided pathways, their choices are shaped by how those options are framed. Even if the final decision rests with the individual, the structure of the system influences the outcome.

There is also the question of confidence. Tools that appear personalised and data-driven can create a sense of precision that may not always reflect reality. Many systems rely on generalised models or limited inputs, meaning they may not fully capture the complexity of an individual’s financial situation. Yet users may interpret their outputs as authoritative.

Regulators have already raised concerns about transparency and the potential for bias in AI-driven decision-making. A UK parliamentary committee has warned that the increasing use of AI in financial services could expose consumers to risks including mis-selling, opaque decision processes, and insufficient accountability.

Another important consideration is incentives. AI systems are designed with specific objectives, which may include engagement, efficiency, or commercial outcomes. The way information is presented and the options that are prioritised can reflect these objectives. This does not necessarily lead to poor outcomes, but it does mean that guidance is shaped by underlying design choices rather than being entirely neutral.

Taken together, these developments point to a broader shift in how individuals interact with their finances. Decision-making is becoming more guided, more structured, and increasingly influenced by systems that operate at scale. At the same time, the point at which responsibility lies is becoming less clearly defined.

Where This Leaves You

The growing role of AI in financial decision-making does not represent a simple replacement of human advice with automated systems. Instead, it introduces a more complex landscape in which different forms of guidance coexist, each with its own implications for responsibility and risk.

AI-driven tools are likely to remain a central part of this landscape. They offer clear advantages in terms of accessibility and efficiency, and their use is expected to expand as technology continues to develop. For many individuals, they will provide a valuable way to engage with financial decisions that might otherwise feel inaccessible.

At the same time, they introduce a degree of ambiguity that did not previously exist. The traditional categories that defined financial decision-making are becoming less distinct, and the protections associated with those categories are not always immediately clear.

For individuals, this means paying closer attention to how these tools are positioned and what they actually provide. Understanding whether a system is offering general guidance or regulated advice is an important part of assessing the level of protection available. It also requires recognising the limits of what these tools can deliver, particularly when they rely on simplified models or incomplete information.

The broader issue is that the system is evolving more quickly than the rules that govern it. As AI continues to shape how financial decisions are made, the question of responsibility will become increasingly important. Guidance may become more sophisticated and more widely available, but without clear definitions, the allocation of responsibility remains uncertain.

AI will play a growing role in how individuals manage their money. That trajectory is already clear. What remains unresolved is how accountability will be defined in a system where influence is widespread, but responsibility is less clearly assigned.

💼 Unpacked

Financial advice vs financial guidance

Financial advice is a personalised recommendation based on your specific circumstances and is regulated by the Financial Conduct Authority, with accountability if it’s unsuitable. Financial guidance is general information or suggestions to help decisions, but without personalisation or the same legal protections.

Regulatory sandbox

A regulatory sandbox is a controlled testing environment run by the Financial Conduct Authority where firms can trial new financial products, like AI tools, with real users under supervision. It allows innovation while limiting risk before full regulation is applied.

Targeted support

Targeted support is a framework introduced by the Financial Conduct Authority that allows firms to provide more tailored help to groups of consumers without giving full personalised advice. It sits between generic guidance and regulated financial advice.

Advice gap

The advice gap refers to the large number of people who do not receive financial advice, often due to high costs or limited access. Regulators and firms, including the Financial Conduct Authority, see this as a key issue AI tools could help address.

📣 Support The Fiscal Compass

If you found this insightful, consider sharing with friends or colleagues. For weekly economics-led takes on markets, policy, and macro trends, subscribe to The Fiscal Compass.

Follow along on social media for concise updates throughout the week:

Instagram: @thefiscalcompassofficial

X: @FiscalCompass.

LinkedIn: Vinay Meisuria

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Sources

1. Lloyds pilots AI investment guidance tool as UK regulator studies impact
Source: Reuters
Link: Read article

2. FCA announces second cohort for AI Live Testing
Source: Financial Conduct Authority
Link: Read article

3. UK regulator kicks off review on impact of AI on retail finance
Source: Reuters
Link: Read article

4. AI and the FCA: our approach
Source: Financial Conduct Authority
Link: Read article

5. PS25/22: Supporting consumers’ pensions and investment decisions (targeted support rules)
Source: Financial Conduct Authority
Link: Read article

6. Britain needs AI stress tests for financial services, lawmakers say
Source: Reuters
Link: Read article

Featured Image: Elevate Financial Planning

In reality, financial markets are not waiting passively for central banks to make decisions. They are constantly adjusting in advance, reacting to new information, shifting probabilities, and reassessing what they believe policymakers will do next. This means that by the time an official rate change occurs, a large part of its effect may already be reflected in asset prices. To understand why this happens, it is not enough to focus on interest rates themselves. You have to focus on something less visible but far more influential in day-to-day market movements: expectations.

Forward Guidance

Central banks such as the Bank of England and the Federal Reserve are responsible for maintaining price stability, typically targeting inflation while also supporting sustainable economic growth. The tool most people associate with this responsibility is the interest rate. In the UK, the Bank Rate currently sits at 3.75%, a level the Bank of England has held steady while acknowledging that inflation risks, particularly from energy prices, remain relevant in the short term. This stance reflects a broader global pattern in which central banks have paused aggressive tightening but have not yet committed to rapid easing.

Alongside interest rate decisions, central banks rely heavily on communication. This is known as forward guidance, and it includes speeches, press conferences, written statements, and subtle changes in tone across official communications. Rather than committing only to what policy is today, central banks increasingly signal how they are thinking about future conditions. They may suggest that rates will remain higher for longer if inflation proves persistent, or that cuts could come sooner if economic conditions weaken.

This matters because financial markets are inherently forward-looking. Investors are not simply reacting to current policy; they are pricing in where policy is likely to be months or even years ahead. When a central bank signals persistence in inflation risks, markets immediately adjust expectations for future interest rates. When policymakers hint that inflation is easing and that cuts may eventually be appropriate, markets respond just as quickly in the opposite direction. Importantly, none of this requires an actual change in policy. The communication alone is enough to move prices.

Recent developments in both the UK and the US make this visible in real time. In the UK, market participants currently expect the Bank Rate to fall gradually from 3.75% to around 3.3% by late 2026, implying only limited easing over the next cycle rather than aggressive cuts. In the US, similar repricing has taken place, with expectations shifting away from rapid policy easing toward a more cautious path as inflation proves uneven and fiscal pressures remain elevated. This is reinforced by bond market behaviour, where higher energy prices and inflation concerns have contributed to reduced expectations of near-term Federal Reserve cuts.

What is important here is that in both cases, financial conditions have already shifted. Borrowing costs, bond yields, and asset prices have adjusted not in response to an actual policy change, but in response to evolving expectations about what that policy might be in the future. This is the core function of forward guidance. It allows central banks to influence the economy indirectly by shaping expectations, which in turn influence behaviour across financial markets long before any formal decision is made.

What “Priced In” Really Means

The idea that something is “priced in” becomes clearer when you look at government bond markets. Bond yields are one of the most direct expressions of expectations about future interest rates. When investors buy government bonds, they are effectively locking in a return over a long period of time. That return is heavily influenced by where they believe short-term interest rates will be in the future. If they expect rates to fall, they are willing to accept lower yields today. If they expect rates to remain higher, they demand higher yields.

This is why bond markets often move ahead of central banks rather than in response to them. In the UK, the 10-year government bond yield has recently traded around 4.7%, reflecting elevated inflation expectations, fiscal uncertainty, and shifting views on the future policy path. Earlier in 2025, UK long-term yields reached highs close to 4.8–5%, levels not seen consistently since before the financial crisis.

In the US, Treasury yields have also remained volatile, responding quickly to inflation data, energy shocks, and revisions to expected Federal Reserve policy. Recent market commentary shows that even modest changes in inflation expectations or geopolitical risk have led to immediate repricing in long-term yields, with analysts pointing to a combination of sticky inflation and rising fiscal issuance as key drivers of upward pressure on rates.

To see how this works in practice, it helps to think of the process as continuous repricing rather than a single adjustment. At one stage, markets may expect multiple rate cuts as inflation appears to be easing. Bond yields fall in anticipation. Then inflation data comes in stronger than expected. Markets revise their view, pushing expected cuts further into the future, and yields rise. Later, if inflation eases again, expectations shift once more and yields fall. By the time a central bank eventually makes a decision to cut rates, a large part of the adjustment has already occurred.

This has direct consequences beyond financial markets. Mortgage rates, for example, are influenced heavily by bond yields rather than the policy rate itself. In the UK, fixed mortgage rates have moved up and down in response to shifting gilt yields, even during periods when the Bank of England has held rates unchanged. Recent data shows average mortgage costs remain significantly above pre-2022 levels despite the policy rate stabilising, reflecting the role of expectations in shaping borrowing costs.

Are Markets Actually That Efficient?

This behaviour is often explained through the Efficient Market Hypothesis, a theory which suggests that financial markets reflect all available information at any given time. In its most practical form, it implies that prices already incorporate expectations about the future, making it difficult to consistently gain an advantage by trading on public information alone.

There is evidence supporting this in how quickly markets respond to central bank communication. When policymakers speak, markets often adjust almost immediately, repricing bonds, currencies, and equities within hours. This is precisely why forward guidance is such an effective policy tool.

However, the same period also shows how uncertain those expectations are. In the UK, markets have repeatedly shifted between expectations of rate cuts and rate hikes depending on how inflation, energy prices, and geopolitical risks evolve. Recent volatility linked to energy markets has been enough to push inflation expectations higher again, forcing investors to revise earlier assumptions about rapid easing.

In the US, expectations for Federal Reserve cuts have also fluctuated significantly as inflation data, labour market strength, and fiscal conditions have changed. Even within the bond market itself, there is no single agreed path. Recent surveys show strategists split between those expecting inflation to remain sticky and those anticipating slower growth to eventually bring rates lower, with 10-year Treasury yields forecast around the mid-4% range over the coming year.

This highlights an important limitation. Markets are efficient at processing information, but not necessarily consistent in how they interpret it. Prices move not only because new data arrives, but because the meaning of that data is constantly being reassessed. Expectations are formed, revised, and sometimes reversed entirely.

Closing P

Central banks still control the official cost of borrowing in an economy. That role has not changed. What has changed is how quickly and how far markets move ahead of those decisions. Through forward guidance and continuous interpretation of economic data, financial markets now adjust expectations well before policy changes occur.

This means that by the time an official interest rate decision is announced, much of its impact has already been absorbed into asset prices. Investors have repositioned, bond yields have adjusted, and borrowing costs have shifted in anticipation of what was expected rather than what was formally decided.

For individuals, this has practical consequences. Mortgage rates, savings returns, and broader financial conditions are influenced not only by central bank decisions but by how markets expect those decisions to evolve. Understanding this helps explain why financial conditions can change even during periods when official policy appears unchanged.

The broader implication is that economic reality is increasingly shaped by expectations about the future rather than the present itself. The key question, then, is not only what central banks will do next, but how those expectations are already being formed, adjusted, and embedded into prices today.

And if markets are constantly moving ahead of policy, it raises a deeper question about what they are actually reflecting. Are they providing a clearer view of the future, or simply reacting to shifting collective expectations about it?

💼 Unpacked

Priced In

When asset prices already reflect widely expected future events, such as interest rate changes, leaving limited reaction when those events actually occur. Markets adjust in advance based on expectations rather than waiting for official decisions.

Repricing

A rapid adjustment in asset prices as markets update their expectations in response to new information, such as economic data or central bank signals. Repricing reflects shifts in what investors believe will happen next, not just what has already happened.

Term Premium

The additional return investors demand for holding longer-term bonds instead of short-term ones, compensating for uncertainty around inflation, interest rates, and economic conditions over time. It helps explain why long-term yields can move independently of expected policy rates.

Efficient Market Hypothesis

A theory suggesting that financial markets incorporate available information into prices quickly, making it difficult to consistently outperform the market. In practice, markets respond rapidly to new information, though expectations can still be revised or misinterpreted.

📣 Support The Fiscal Compass

If you found this insightful, consider sharing with friends or colleagues. For weekly economics-led takes on markets, policy, and macro trends, subscribe to The Fiscal Compass.

Follow along on social media for concise updates throughout the week:

Instagram: @thefiscalcompassofficial

X: @FiscalCompass.

LinkedIn: Vinay Meisuria

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Sources and Further Reading

Bank of England – Bank Rate (official policy rate)

Bank of England – Drivers of UK long-term interest rates

Bank of England – Yield curve data and methodology

UK 10-year government bond yield data (Trading Economics)

UK gilt yields hit highest since 2008 amid market repricing (Reuters)

Bank of England rate expectations and market pricing (Reuters poll)

Market expectations for UK interest rate path (BoE survey via Reuters)

US Treasury yield forecasts and inflation expectations (Reuters)

US Treasury yield outlook and market expectations (Reuters)

Featured Image: London Stock Exchange