The International Monetary Fund (IMF) has issued a warning that government bond yields may experience a disorderly spike amid worsening risks from rising inflation, escalating debt, and increased borrowing by artificial intelligence (AI) companies. Sovereign bond yields across advanced economies have surged to multidecade highs, driven by higher energy costs linked to the Middle East conflict and expectations of tighter monetary policies to combat inflation. The IMF’s latest Global Financial Stability Report, released during the IMF-World Bank annual meetings in Bangkok, highlights that record-high debt burdens make bond markets vulnerable to frequent fiscal and inflation shocks.

One notable stressor to sovereign bond markets is the rapid increase in borrowing by AI firms, which is competing for investor capital alongside governments. The share of global investment-grade bond issuance by hyperscalers and AI-related companies has surged to 10% in 2026, rising from less than 1% in 2024. Tech giants including Alphabet’s Google and Meta Platforms have raised hundreds of billions of dollars in debt this year to finance AI buildouts. While AI-linked issuance has become a significant component, the IMF notes that it is not yet the primary driver of rising yields but adds a layer of strain on the market.

Hedge funds’ growing involvement in U.S. Treasuries has also prompted concern from the IMF, with their market share more than doubling to approximately 9% in 2025 since 2022. The fund cautions that leveraged positions and overlapping trades among hedge funds increase the potential for a disorderly unwind, which could amplify market disruption if multiple funds simultaneously exit similar bets. Despite these risks, liquidity in major bond markets in the U.S., Europe, and the U.K. remains resilient, whereas Japan’s government bond market continues to suffer from deteriorating liquidity and growing yield volatility.

The IMF further expressed alarm over “circular” financing arrangements among AI companies, involving about $300 billion in equity and $650 billion in debt tied to future revenue commitments totaling $1.4 trillion. This structure, where future revenues are pledged to investors in exchange for current funding, creates a concentration risk in a few firms. If AI commercialization falls short, the simultaneous decline in equity values, debt servicing ability, and revenue realization could lead to a "triple whammy" causing amplified market losses. The IMF cautioned that such concentrated exposure might pose systemic risks if problems arise with these AI-related entities.