Against the backdrop of escalating geopolitical conflicts in the Middle East and persistent inflation, the vulnerabilities of global financial markets are being amplified. On Tuesday (October 13), the International Monetary Fund (IMF) issued a stern warning, explicitly stating that government bond yields face a significant risk of disorderly surges. Rising inflation, heavy national debt, and the massive financing demands driven by artificial intelligence are collectively squeezing the survival space of sovereign bond markets, and a potential financial turmoil is quietly brewing.

Treasury yields are facing a surge, and sovereign debt risks continue to escalate.

In its latest Global Financial Stability Report, the International Monetary Fund (IMF) has solemnly stated that risks in the sovereign bond market are on the verge of deterioration, with bond yields potentially experiencing a sharp and disorderly rise. The report emphasizes that the heavy debt burden and refinancing risks make the bond market highly vulnerable to more frequent fiscal and inflationary shocks. The IMF had already warned last week that global public debt has reached a new high since World War II and is rapidly approaching the dangerous threshold of exceeding 100% of GDP. On Tuesday, the IMF further warned that given the cornerstone role of the sovereign bond market in the modern financial system, any shocks to it would be extremely devastating. A sharp surge in yields would not only lead to a significant devaluation of various assets through higher discount rates but would also severely erode the book value of government bonds used as collateral.

AI financing demand surges, tech giants squeeze out bond market funds.

Beyond traditional macroeconomic pressures, the explosive growth of the artificial intelligence (AI) industry is becoming another major source of pressure on the bond market. The International Monetary Fund (IMF) specifically points out that the exponentially growing borrowing demand from AI companies is competing with sovereign bonds for limited investor funds. Reports show that since 2024, the share of global hyperscale data center operators in global investment-grade bond issuance has surged from less than one percent to ten percent. This year alone, tech giants including Alphabet Holdings (Google's parent company) and MetaPlatform, as well as various hyperscale data center operators and AI research institutions, have raised hundreds of billions of dollars in debt globally. Marc Seidner, Chief Investment Officer of Unconventional Strategies at PIMCO, points out that the sheer volume of long-term AI-related bond issuances is large enough to compete with government bonds for investor capital. Even though it is not yet the dominant force driving soaring yields, its structural squeeze on the market cannot be ignored.

Leveraged trading carries numerous risks, and its cumulative effects could lead to a chain reaction.

The International Monetary Fund (IMF) believes that hedge funds' increasing holdings of US Treasury bonds are exposing the market to significant risks of disorderly liquidation. While some leveraged basis trading has already occurred in the short-term loan market without triggering major pressure, the remaining high leverage remains a hidden danger hanging over the market. Data shows that hedge funds' share of the US Treasury market has jumped dramatically from about 4% in 2022 to about 9% in 2025, relying heavily on complex arbitrage trading. Caio Ferreira, Deputy Director of the Financial Supervision and Compliance Department at the IMF, explicitly stated that the root of market concerns lies in the increasing leverage ratios of hedge funds and their increasingly convergent trading positions. When numerous funds hold identical trading positions, the impact on the market will be magnified exponentially in the event of a collective liquidation and retreat. On the positive side, liquidity in the US, European, and UK markets remains stable, with Japan being the sole exception. With the end of yield curve control, liquidity in its bond market is deteriorating due to increased yield volatility. The organization used this opportunity to urge all debt management institutions to extend debt maturities and to be wary of the strategy of using short-term loans to finance long-term loans, which could exacerbate refinancing risks.

The circular financing model has raised concerns, and a potential default storm may be inevitable.

In its report, the International Monetary Fund (IMF) also issued a stark warning about the complex cyclical financing transactions among artificial intelligence (AI) companies. Since 2023, led by hyperscale operators, approximately $300 billion in equity and $650 billion in debt have been injected into AI companies with relatively weak financial foundations in 14 publicly disclosed transactions. In return, investors have locked in up to $1.4 trillion in future revenue commitments through service or chip purchase orders. Jason Wu, Assistant Director of the IMF's Monetary and Capital Markets Department, emphasized on Tuesday that it is these hard commitments regarding future revenue that give these transactions a unique cyclical nature. He further analyzed that if the commercialization of AI falls short of expectations, a triple blow is highly likely to strike simultaneously. Once the market seriously questions the monetization capabilities of AI, the value of related equity investments will shrink dramatically, huge debts will face the predicament of being unable to repay on time, and previously promised future revenues will vanish. Because this intensive financing and revenue commitment is highly concentrated in a very small number of AI companies, some core node companies will be in an extremely vulnerable state. If any of these key entities experience any disturbance, this cyclical pattern of idle funds will immediately pose a substantial systemic risk to the entire financial market.

Conclusion

In summary, the continued rise in global debt and the massive financing needs of the artificial intelligence industry are jointly reshaping the landscape of global financial markets. This warning from the International Monetary Fund not only reveals the fragility of traditional sovereign bond markets but also highlights the hidden risks posed by emerging technology financing models. Faced with the dual pressures of inflation and debt, regulatory agencies in various countries urgently need to strengthen risk prevention mechanisms to cope with potential market turmoil.