The International Monetary Fund warned Tuesday that government bond yields could experience a sudden, disorderly spike as inflation pressures, escalating sovereign debt, and surging artificial intelligence borrowing threaten the stability of global bond markets.
The warning came in the IMF's October Global Financial Stability Report, released during the IMF-World Bank annual meetings in Bangkok, Thailand. The report identifies rising bond yields as a systemic risk that has worsened since the fund's April assessment. Bond yields in several advanced economies have already climbed to multidecade highs, driven by higher energy costs stemming from the Middle East conflict and market expectations for tighter monetary conditions as central banks attempt to control resurgent inflation.
The IMF emphasized that the combination of high public debt levels and rollover risks makes sovereign bond markets vulnerable to fiscal and inflation shocks. The fund warned last week that global public debt had reached near its highest level since World War II and was on track to exceed 100% of global GDP. "Impact could be severe given the foundational importance of sovereign bond markets," the IMF stated in its report. A sharp rise in yields would reduce asset values across financial markets through higher discount rates and erode the value of government bonds held as collateral by financial institutions.
One significant new pressure on bond markets is the exponentially rising borrowing by artificial intelligence firms. According to the IMF's analysis, hyperscalers' share of global investment-grade bond issuance has risen to 10% from less than 1% since 2024, as technology giants such as Alphabet Inc's Google and Meta Platforms have raised hundreds of billions of dollars in debt this year to fund AI infrastructure buildout. The IMF noted that AI-linked debt issuance—much of it longer-dated—has grown large enough to compete with government bonds for investor capital. Marc Seidner, chief investment officer of non-traditional strategies at Pacific Investment Management Company, confirmed that while AI borrowing does not appear to be the dominant driver of yields, it represents a meaningful source of competition for investor funds.
The IMF also highlighted structural risks within Treasury markets themselves. Hedge funds' share of U.S. Treasury holdings has risen to approximately 9% in 2025 from about 4% in 2022, mostly through highly arbitraged strategies, according to Federal Reserve data cited by the fund. This concentration of leveraged positions creates vulnerability to a disorderly market unwinding. Caio Ferreira, IMF deputy division chief for financial supervision and regulation, noted that the concern stems from hedge funds' rising leverage and their increasingly overlapping positions, meaning multiple funds hold the same trades and could amplify market impact if they collectively unwind their positions.
The IMF also raised concerns about unusual financing structures within the AI sector. Since 2023, 14 publicly disclosed deals have channeled approximately $300 billion of equity, led by hyperscalers, into financially weaker AI firms, alongside $650 billion of debt. In exchange, the investors secured $1.4 trillion of future revenue commitments through services or chip orders. Jason Wu, assistant director of the IMF monetary and capital markets department, noted that the future revenue commitments distinguish these deals from previous financing arrangements, introducing an additional element of financial interconnection and risk.
On a more positive note, the IMF reported that liquidity has held up adequately in U.S., European, and U.K. bond markets. Japan presents an exception: liquidity in its government bond market has deteriorated as yield volatility has risen following the end of yield curve control. The fund urged debt managers to lengthen debt maturities to reduce rollover risk, warning that strategies replacing long-term debt with large-scale short-term borrowing could amplify vulnerabilities. The IMF identified rising bond yields, an AI market correction, and major cyberattacks as plausible near-term catalysts that policymakers should monitor closely.
