IMF AI share crash risk could tighten global markets fast

The IMF warned that an AI correction is one of three “salient risks” to financial stability, in its twice-yearly Global Financial Stability Report, released in mid-October during the IMF and World Bank annual meetings in Bangkok. The other two are rising government borrowing costs and a major cyber attack.

The fund called the three together plausible near-term triggers for a sudden tightening of financial conditions. In plain terms, that means money gets harder and more expensive to borrow, very quickly, for governments, companies and households alike.

The IMF was careful about what it was not saying. It is not predicting a crash. Its point is that markets have stayed calm through repeated shocks, and that calm should not be read as proof the system is safe. Athanasios Vamvakidis, deputy director of the IMF’s monetary and capital markets department, said heavy foreign holdings of US AI stocks are supporting the world economy for now through “wealth effects”, but a correction “could have broad implications”.

The worry is that AI profits may not grow fast enough to justify today’s prices and spending. The report said weaker or shorter-lived AI investment and profits could set off a fall in AI-related asset prices, and that borrowing, concentrated holdings and circular deals would make that fall worse.

Concentration is easy to see. The so-called magnificent seven (Nvidia, Microsoft, Apple, Alphabet, Amazon, Meta and Tesla) now account for more than 35% of the S&P 500, up from 12% a decade ago. Their combined market value has risen by more than 50% in the past two years.

The IMF also pointed to growing evidence that rolling out AI may not need spending on the huge scale the hyperscalers are doing. Hyperscalers are the companies building the giant data centers that power AI, such as Amazon Web Services, Google, Meta and Oracle. The fund added that the economic payoff from AI may turn out smaller than expected.

The market mood that week did not help. Chip stocks fell after Broadcom’s boss likened many AI investors to “casino” gamblers, and South Korean tech shares dropped on reports that Chinese memory maker CXMT was making progress on a new chip design.

Circular financing is when AI companies act as each other’s investors, lenders, suppliers and customers at the same time. A chip maker invests in an AI lab, and the lab then spends that money buying the chip maker’s products. It makes demand look stronger than it may really be, and it ties strong companies to weak ones.

Over just the past three years, the IMF counted $300 billion in transactions between hyperscalers and weaker AI firms, plus another $650 billion in debt, all in return for $1.4 trillion in future commitments. If one weak partner fails, those promises can unravel in several places at once.

Borrowing is the other layer. The fund flagged rising debt at the AI companies themselves, hedge fund bets on the sector, and ordinary retail investors borrowing money to buy AI stocks. In a downturn, it said, all that leverage raises the chance of forced selling and sudden swings in share prices.

The Bank for International Settlements has raised a similar alarm. It noted that the five biggest hyperscalers were on track to spend more than $1 trillion on AI across 2025 and 2026 combined, much of it funded by debt, and compared the boom to earlier cycles where hoped-for productivity gains never arrived.

The IMF said the consequences of an AI correction could be global. Outside the US, Asian markets would be the most exposed. The UK and euro area look more sheltered on paper, but investors there who hold US shares would still take a hit.

Banks look mostly sturdy. The IMF ran a stress test with severe shocks from AI, bond markets and energy, and found the banking system broadly held up. A group of weaker banks would not have enough capital in that scenario, though, and the share of vulnerable banks is growing.

The bigger blind spot is outside banking. Pension funds and insurers hold more assets that are hard to sell quickly, private credit lenders face more heavily indebted borrowers, and hedge funds tend to crowd into the same trades, which can make a sell-off sharper.

For most people, the first sign would be a drop in retirement and investment balances, because index funds that track the S&P 500 lean heavily on the same handful of tech names. The second would be borrowing costs. A fall in bond prices pushes up rates on mortgages, car loans, business loans and credit cards.

The cyber risk links back to everyday life too. The IMF said a successful attack could disrupt payments, trading and access to bank deposits. Because so many banks rely on the same cloud and software providers, one breach could hit many institutions at once. In more than 70% of the software flaws reported in 2026, the fund noted, hackers got in before the maker had a patch out.

In the UK, the head of the Financial Conduct Authority, Nikhil Rathi, told MPs on the Treasury committee that small financial firms should think about taking out insurance against AI-driven cyber threats, since not all of them can afford access to the most advanced AI security tools.

None of this is a reason to panic-sell. It is a reason to check how much of your savings rides on a few tech giants, and whether you would be comfortable if those shares fell sharply.