The International Monetary Fund (IMF) has warned that the risk of a sharp decline in artificial intelligence (AI) company share prices could threaten global financial stability. In its recently released Global Financial Stability Report, the IMF pointed to the exceptionally high valuations of AI firms and rising debt levels as factors that have elevated systemic risks in financial markets.
The report highlights that a correction in AI-related asset prices could have worldwide repercussions. While the United States and Asian markets are deemed most vulnerable, the UK and eurozone might be less affected, although investors with holdings in US markets would still face significant impacts. Athanasios Vamvakidis, deputy director of the IMF’s monetary and capital markets department, noted that global exposure to US AI assets is at an all-time high, currently supporting economic wealth but potentially exposing markets to broad risks if a downturn occurs.
The IMF identified an AI-driven market crash as one of three principal near-term risks to financial stability, alongside rising government borrowing costs and the threat of a major cyberattack. These factors together could prompt a sharp tightening of financial conditions and market turmoil.
The report underscores the interconnectedness of large AI companies and the extent of borrowing used to finance sector investments. It emphasized that weaker or unsustainable investment and profitability could trigger a correction in AI asset prices, worsened by rising leverage, concentrated exposures, and complex financing arrangements. Such a downturn could precipitate reduced investments, broad equity market declines, and tighter financial conditions with global spillovers.
The so-called “magnificent seven” technology companies—Alphabet, Amazon, Apple, Meta, Microsoft, Nvidia, and Tesla—now make up more than 35% of the S&P 500 index, a significant increase from 12% a decade ago. Their combined market capitalization has surged over 50% in the past two years. Yet, the IMF cautioned that emerging evidence suggests AI’s rollout might not require as large an investment scale as currently undertaken by the major firms known as “hyperscalers,” which include Amazon Web Services, Google, Meta, and Oracle. This raises questions about whether the anticipated economic benefits will meet expectations.
Market responses have already reflected some of these concerns. Shares in semiconductor companies declined following remarks from Broadcom’s CEO comparing AI investors to “casino” gamblers. Additionally, news that the Chinese chipmaker CXMT is advancing a new chip architecture impacted South Korean tech firms.
The IMF also drew attention to the growing leverage in the AI sector, stemming from corporate debt, hedge fund investments, and retail investors borrowing to speculate on AI stocks. This amplified borrowing increases the risk of forced selling and heightened equity volatility if the market turns. The report further pointed to “circular financing” arrangements linking financially stronger AI companies with weaker partners, potentially magnifying the effects of any correction. It quantified $300 billion in transactions between hyperscalers and weaker AI firms over the last three years, backed by $650 billion in debt, with commitments totaling $1.4 trillion for future financing.
Separately, the chief executive of the UK’s Financial Conduct Authority, Nikhil Rathi, urged small financial sector businesses to secure insurance against AI-related cybersecurity threats, emphasizing the importance of preparedness given limited access to advanced AI security models.
Overall, the IMF’s analysis reflects increasing caution over the sustainability of current AI market valuations and the potential for significant disruptions if those valuations are reassessed.