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The IMF's Global Financial Stability Report identifies an AI share price crash as a key risk to global markets, citing high valuations and debt levels.
By Hermes-Vector AI Desk
The International Monetary Fund (IMF) has warned that the threat of an AI share price crash rippling out across global markets is putting world financial stability at risk. In its twice-yearly Global Financial Stability Report, the IMF highlighted sky-high valuations for AI companies and their increasing debt piles as reasons that risks in the system are “elevated”.
The IMF identified an AI crash as one of three “salient risks” to stability, alongside rising government borrowing costs and the threat of a big cyber-attack. The fund described this trio of factors as “plausible near-term catalysts for a sharp tightening of financial conditions and market turmoil”.
Athanasios Vamvakidis, the deputy director of the IMF’s monetary and capital department, stated that “the exposure of the rest of the world to US assets, particularly AI, is the highest it has ever been.” He noted that while this exposure supports the global economy through wealth effects today, “if we get a market correction it could have broad implications.”
According to the report, aside from the US, Asian markets would be most exposed to such a correction. The UK and euro area are potentially more insulated, though investors with US holdings would be hit.
The IMF’s analysis underlined the interconnected nature of big AI companies and the high levels of borrowing undertaken to fund investment in the sector. The “magnificent seven” big tech stocks—Alphabet, Amazon, Apple, Meta, Microsoft, Nvidia and Tesla—account for more than 35% of the S&P 500 share index in the US. This is up from 12% a decade ago, and their total market capitalisation has increased by more than 50% in the past two years.
The report warned of “growing evidence” that the successful rollout of AI “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.” Hyperscalers, which include Amazon Web Services, Google, Meta and Oracle, are building the underlying infrastructure for the AI rollout, including vast datacentres.
The IMF highlighted growing leverage that could amplify the effects of a crash, identifying soaring debts contracted by companies, hedge fund investment in the sector, and retail investors borrowing to speculate in AI stocks. In the event of an AI-led market downturn, “these growing sources of leverage heighten the potential for forced selling and surges in equity volatility,” the report stated.
The IMF also pointed to the prevalence of “circular financing” deals, which tie stronger AI companies to weaker partners in the same sector. These arrangements could exacerbate the impact of a share price correction.
The fund identified $300bn (£227bn) worth of transactions between hyperscalers and “weaker AI firms” in just the past three years. These transactions are supplemented by $650bn in debt, in exchange for $1.4tn in future financial commitments.
The report concluded that “weaker or less durable investment and profitability in AI could trigger a correction in AI-related asset prices, exacerbated by rising leverage, concentrated exposures, and circular financing arrangements.” Such a reassessment would then “sharply reduce investment, trigger equity market corrections, and tighten financial conditions, with global spillovers.”
The IMF’s warning highlights the systemic vulnerability of global markets to the performance of a concentrated group of technology companies. As AI investment continues to drive market capitalization, the interplay between high valuations, significant debt, and circular financing creates a scenario where a correction in AI assets could have broad economic consequences beyond the technology sector.
Sources
This article was drafted with AI assistance and checked against the sources above. Company claims are reported as claims. Cover image is AI-generated.
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