IMF Warns AI Bubble and $1.4 Trillion in Circular Deals Could Crash Global Markets

IMF Flags AI Bubble as Major Threat to Global Financial Stability

The International Monetary Fund has issued a stark warning that the AI bubble could burst with devastating consequences extending far beyond the tech sector1

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. In its Global Financial Stability Report released Tuesday at the annual meetings in Bangkok, the IMF identified an AI market correction as one of three critical risks to global economy alongside rising government borrowing costs and cybersecurity threats2

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. The warning comes as financial markets face elevated risks from billions poured into AI infrastructure that may fail to deliver expected profits, potentially triggering market turmoil that could tighten financial conditions worldwide5

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Circular AI Deals Create $1.4 Trillion Risk Exposure

The IMF identified a troubling pattern of circular financing arrangements that could amplify any downturn. Analysis of 14 publicly disclosed circular AI deals since 2023 reveals that investors led by hyperscalers invested approximately $300 billion in equity into financially weaker AI firms, alongside $650 billion in debt4

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. In return, these investors secured $1.4 trillion in future revenue commitments through services or chip orders, creating what the IMF calls "wrong-way risk"4

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. Jason Wu, assistant director of the IMF's Global Markets Analysis Division, described this as a "triple whammy" where equity investments depreciate, debt becomes difficult to service, and revenue commitments may not materialize simultaneously2

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. About $320 billion of that debt sits with the firms receiving the money, with a handful holding most of the financing and revenue promises4

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Hyperscalers Drive Explosive Growth in AI-Related Borrowing

Hyperscalers now issue 10% of the world's investment-grade bonds, a dramatic surge from less than 1% in 20243

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. This exponential AI-related borrowing has become large enough to compete with sovereign bond markets for investor capital, adding strain to government bond yields already pressured by inflation risks and mounting debt3

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. The magnificent seven tech stocks—Alphabet, Amazon, Apple, Meta, Microsoft, Nvidia and Tesla—now account for more than 35% of the S&P 500, up from 12% a decade ago, with their total market capitalization increasing by over 50% in the past two years5

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. Yet hyperscalers' free cash flow is falling rapidly as spending on AI infrastructure continues, making debt increasingly necessary to fund operations4

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Growing Evidence Questions Massive Investment Scale

The IMF warned of "growing evidence" that 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 expected5

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. 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 arrangements5

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. An AI-driven market correction could ultimately cut global GDP by 1.1% by 2028, including a 1.8% drop in US output2

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. Jefferies strategist Chris Wood has warned that America's AI spending spree could cause "massive capital destruction," with cheaper Chinese open source models threatening the returns US tech giants are counting on1

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Multiple Leverage Sources Heighten Forced Selling Risk

Beyond corporate borrowing, the IMF identified additional leverage amplifying potential market turbulence. Hedge funds' gross equity positions plus margin loans have grown to approximately 15% of advanced economies' GDP, up from 10% since 20244

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. Hedge funds' share of U.S. Treasuries rose to about 9% in 2025 from about 4% in 2022, mostly through highly arbitraged strategies, leaving the market "susceptible to a disorderly unwind"3

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. Retail investors are using geared exchange-traded funds to bet on AI shares, with single stocks now making up 28% of these funds, up from 16%4

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. These growing sources of leverage heighten the potential for forced selling and surges in equity volatility in the event of an AI-led market downturn5

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Cybersecurity Threats Compound Financial Stability Concerns

The IMF identified cybersecurity threats as another critical risk to global financial stability, with AI potentially making matters worse1

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. More than 70% of tracked vulnerabilities exploited in 2026 were already being abused by attackers before or on the day they were publicly disclosed, giving software vendors almost no time to patch flaws1

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. This represents a 20 percentage point increase from a year ago, compared to 2021 when providers typically had close to 300 days4

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. State-sponsored groups, ransomware gangs and insiders now have access to frontier AI models that have shown strong capabilities in network-attack simulations4

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. Banks have become increasingly reliant on the same handful of cloud providers and software suppliers, creating shared points of failure that could spread disruption across institutions if a cyberattack took down a major bank or critical tech provider1

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Regional Impact and Banking System Resilience

An AI share crash would have global consequences, though impact would vary by region. Advanced Asian stock markets, which move most closely with global AI shares, would likely suffer the most in a market correction4

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. The UK and euro area are potentially more insulated, though their investors with exposure to the US would still be hit5

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. The IMF's 2026 bank stress test combined an energy price shock from the Middle East conflict, higher inflation and bond yields, and an AI-led market correction4

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. While banks would remain broadly resilient, institutions holding 22% of global banking assets would end up weak with core capital ratios below 7%, up from 18% a year ago4

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IMF Raises Growth Forecast Despite Mounting Risks

Despite these warnings, the IMF is not predicting imminent financial collapse. In its World Economic Outlook also published Tuesday, the IMF raised its 2026 global growth forecast to 3.1%, up from 3.0% in July, as still-strong AI infrastructure investment offset higher oil prices caused by the Middle East conflict2

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. The fund predicts 3.4% growth in 2027, though this assumes the Strait of Hormuz reopens by March and shipping conditions return to pre-war levels by October 20272

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. Trade in AI goods grew 29% between 2023 and 2025, more than triple the 8.3% growth rate of global trade over the same period2

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. IMF Managing Director Kristalina Georgieva emphasized that while the economy has shown resilience, stakeholders should not take it for granted and must continue working to maintain stability2

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