AI Is Eating the Bond Market—And the IMF Just Blew the Whistle

The Bedrock Is Cracking

Sovereign bond markets are supposed to be the calmest part of the financial system. Governments borrow at near-zero risk; central banks use those bonds as collateral; pension funds park their savings there. That assumption is where the IMF’s latest Global Financial Stability Report takes its sharpest hit.

The fund warned Tuesday at its annual meetings in Bangkok that government bond yields could rise in a “disorderly” fashion—as if the calm part of the ocean suddenly went rogue. Yields in several advanced economies are already at multidecade highs, driven by energy costs from the Middle East conflict and central banks fighting resurgent inflation. But the IMF sees the inflation-debt overlap as the deeper structural problem: high debt loads and frequent rollover needs make sovereign bond markets “susceptible to more frequent fiscal and inflation shocks.”

Global public debt has reached near its highest level since World War II and is on track to exceed 100% of GDP soon. When the IMF says a sharp rise in yields would mark down asset values through higher discount rates and erode the value of government bonds posted as collateral, it is describing a chain reaction that reaches into every corner of global finance.

Who Is Stealing the Capital?

Here is the part English-language readers outside Washington and London tend to miss: the AI buildout is no longer just an equity story. It has become a debt story—and it is competing directly with governments for the same pool of investor capital.

Hyperscalers’ share of global investment-grade bond issuance has risen to 10% from less than 1% since 2024, the IMF reported. Tech giants including Alphabet’s Google and Meta Platforms, along with other hyperscalers and AI labs, have raised hundreds of billions of dollars in debt this year alone. Much of it is longer-dated.

“AI-linked issuance has grown large enough to compete with government bonds for investor capital, even if it does not appear to be the dominant driver of yields,” said Marc Seidner, CIO of non-traditional strategies at Pacific Investment Management. The qualifier “does not appear to be the dominant driver” is doing a lot of work there. When a shock hits, dominance matters less than concentration.

The implication is straightforward and underpriced: as AI companies absorb more of the investment-grade slot, there is less capacity for sovereigns to issue without pushing yields higher. That is not a cyclical pressure. It is structural.

The Circular Deal That Could Triple-Whammy the Market

Even more striking is what the IMF flagged as a web of circular financing among AI firms. Since 2023, 14 publicly disclosed deals have channeled approximately $300 billion of equity, led by hyperscalers, into financially weaker AI firms, alongside $650 billion in debt. In return, the investors secured $1.4 trillion in future revenue commitments through services or chip orders.

Jason Wu, assistant director of the IMF’s monetary and capital markets department, called the revenue promises the unusual part. “What makes this a little bit unusual compared to previous deals is the future revenue commitments, hence the circularity.”

The mechanism is subtle but dangerous. Hyperscalers lend to and invest in smaller AI firms, then promise to buy their services or chips. The revenue commitments support the borrower’s ability to service debt. If AI commercialization falls short, three things break simultaneously: the equity investments lose value, the debt becomes harder to service, and the future revenue commitments do not materialize. Wu called it a “triple whammy.”

Because these deals cluster in a handful of AI firms, the exposure is concentrated. “There are certain companies and nodes that are particularly exposed,” Wu said. “If there are some kind of issues with those entities, then the circularity would pose risk to the market.”

This is not a traditional credit cycle. It is a self-referential web of promises that assumes continuous AI monetization growth. When that assumption wavers, the links tighten across asset classes in ways that standard stress tests do not capture.

Where the Squeeze Comes From

The hedge-fund angle is equally important. Hedge funds’ share of U.S. Treasuries rose to about 9% in 2025, up from about 4% in 2022, mostly through highly arbitraged strategies, the IMF said, citing Federal Reserve data. Leveraged basis trades have partially unwound without notable pressure in the short-term loan market so far. But the leverage that remains is a concern.

Caio Ferreira, IMF deputy division chief for financial supervision and regulation, flagged that the worry stems from hedge funds’ rising leverage and increasingly overlapping positions. Multiple funds holding the same trades means a collective unwind amplifies itself. The IMF warned that hedge fund holdings leave the market “susceptible to a disorderly unwind.”

Liquidity has held up in the U.S., Europe, and the U.K., the IMF noted. Japan is the exception: liquidity in its government bond market has “continued to deteriorate,” with yield volatility rising since the end of yield curve control. Japan’s experience is a preview. When yield volatility rises and liquidity falls in the world’s second-largest bond market, it is a signal that the plumbing is fraying—not just in one country, but in the architecture that other markets lean on.

What Happens Next

The IMF urged debt managers to lengthen maturities, warning that rollover risk could worsen if governments replace long-term debt with short-term borrowing on a large scale. That advice is sound and, given current issuance patterns, largely unheeded.

So what changes? Three things are likely to matter first.

First, watch the overlap. When two or more hedge funds run the same Treasury basis trade and AI issuers are absorbing the same investment-grade capacity, a shock to either side compresses both. The IMF’s language about disorderly yield spikes is not a prediction of direction—it is a prediction of mechanics. Yields move when the market cannot find a buyer, not when it cannot find a seller.

Second, the circular AI financing deals will be the stress-test scenario nobody is pricing in. Equity analysts focus on hyperscaler balance sheets. Credit analysts focus on sovereign spreads. The link between them—the revenue commitments that bind them—is fragile by design. A single material miss on AI monetization timelines could activate the triple whammy across multiple firms simultaneously.

Third, Japan’s deteriorating liquidity should be treated as a leading indicator, not a local problem. The IMF identified it specifically. When the world’s mostintervention-heavy bond market shows stress, the rest of the system inherits that stress through collateral channels, swap lines, and institutional cross-holdings.

The IMF’s warning is not that bond markets are broken today. It is that the conditions for disorderly movement are stacking up in ways that standard risk frameworks underestimate. AI debt has shifted from a sector narrative to a market-structure variable. Hedge-fund concentration has shifted from a portfolio choice to a systemic amplifier. Circular financing has shifted from corporate deal-making to a potential contagion vector.

Bond investors who treat these as separate stories are reading the wrong report.