IMF warns AI stock crash could threaten financial stability

The market is concentrated

The seven largest technology companies—Alphabet, Amazon, Apple, Meta, Microsoft, Nvidia and Tesla—now make up more than 35% of the S&P 500, up from 12% ten years ago. Their combined market capitalization has grown by more than 50% over the past two years.

The IMF points to a mismatch that could matter if expectations cool: there is growing evidence that successful AI adoption may not require the scale of investment hyper-scalers are making. The economic gains from AI could also fall short of what investors expect.

Hyper-scalers are building infrastructure for AI adoption, including large data centers. They include Amazon Web Services, Google, Meta and Oracle.

Debt can deepen a sell-off

The IMF identifies three sources of borrowing behind the boom:

If trouble in AI triggers a market downturn, the fund warns, this financing could force asset sales and sharply increase stock volatility. Circular financing deals are another channel: they connect stronger AI companies with weaker partners and could magnify a correction.

Over the past three years, the IMF identified $300 billion (£227 billion) in deals between hyper-scalers and what it calls “weaker AI companies.” It also cited $650 billion in debt exchanged for future financial obligations worth $1.4 trillion.

I think the more important point is how much of the risk depends on returns that have not yet arrived. The IMF’s figures establish the scale of the financial links, but the announcement does not say how much of the borrowing would become vulnerable if AI investment slows—or how quickly those obligations could turn into forced sales. A market concentrated in a handful of technology companies may not need a collapse in AI itself to feel the effects; it may be enough for the expected payoff to shrink.