IMF warns inflated AI valuations and rising sector debt threaten global financial stability

The International Monetary Fund has warned that a sharp fall in AI-related share prices is now one of the biggest threats to global financial stability, pointing to sky-high valuations across the sector and the mounting debt used to fund its expansion. According to The Guardian, the warning appears in the IMF's twice-yearly Global Financial Stability Report, which concluded that overall risks in the financial system are "elevated".

A correction with global consequences

The IMF said plainly that "the consequences of an AI correction could be global". The United States sits at the centre of the exposure, with Asian markets the most vulnerable outside it. The UK and euro area are potentially more insulated, though investors there holding US assets would still take losses.

Athanasios Vamvakidis, deputy director of the IMF's monetary and capital department, said at the report's launch that global exposure to US assets, AI in particular, is the highest it has ever been. That exposure is currently supporting the world economy through wealth effects, he noted, but a market correction could have broad implications.

An AI crash was one of three "salient risks" the IMF flagged, alongside rising government borrowing costs and the threat of a major cyber-attack. It described the trio as "plausible near-term catalysts for a sharp tightening of financial conditions and market turmoil".

Concentration in a handful of stocks

The report underlined how top-heavy the market has become. The "magnificent seven" - Alphabet, Amazon, Apple, Meta, Microsoft, Nvidia and Tesla - now make up more than 35% of the S&P 500, up from 12% a decade ago, and their combined market value has grown by more than 50% in the past two years. A repricing of that group therefore moves the whole index, and everything indexed to it.

Debt and circular financing amplify the risk

The IMF's central concern is what would amplify a correction once it began. It pointed to three sources of leverage: borrowing by the AI companies themselves, hedge fund positions in the sector, and retail investors taking on debt to speculate in AI stocks. In a downturn, it warned, these growing sources of leverage heighten the potential for forced selling and surges in equity volatility.

It also singled out "circular financing" - deals that tie stronger AI companies to weaker partners in the same sector. The Guardian reports that the IMF identified $300bn (£227bn) of such transactions between hyperscalers and weaker AI firms over the past three years, supplemented by $650bn of debt, in exchange for $1.4tn in future financial commitments. If those weaker firms run into trouble, the arrangements could spread losses back up the chain.

The hyperscaler bet may be oversized

Perhaps the sharpest point in the report concerns fundamentals. The IMF said there is "growing evidence" that a successful AI rollout "may not require investment on the massive scale being undertaken by 'hyperscaler' firms", and that "potential economic gains may not be as large as expected". The hyperscalers - the companies building the datacentres and other infrastructure behind the AI build-out, including Amazon Web Services, Google, Meta and Oracle - have anchored their spending plans on the assumption that returns will justify the outlay. Weaker or less durable investment and profitability in AI, the IMF said, could trigger a correction in AI-related asset prices, made worse by rising leverage, concentrated exposures and circular financing, with global spillovers through reduced investment and tighter financial conditions.

Why it matters

This is a systemic regulator, not a market commentator, formally rating AI valuations as a threat to worldwide financial stability. The mechanics it describes are the classic ingredients of a broader crisis: extreme concentration in a few stocks, borrowed money on both the corporate and investor side, and intercompany deals that bind strong balance sheets to weak ones. For the tech industry, the more immediate message is that the enormous datacentre and capex boom rests on assumptions about AI demand and returns that the IMF now says may not hold. And if sentiment turns, the fallout would not stay confined to tech stocks: through wealth effects and index concentration it would reach pension funds, retail investors and economies well beyond the United States.