By Hamza Faisal
The International Monetary Fund has named debt-fuelled artificial-intelligence spending one of the most serious new threats to global financial stability, warning that a web of "circular" financing deals between big tech firms and AI startups could turn a routine tech correction into a market-wide shock. The warning came in the Fund's October Global Financial Stability Report, released at its Bangkok annual meetings.
At its center are 14 publicly disclosed AI transactions struck since 2023. In them, hyperscalers — the giant cloud operators — channeled roughly $300 billion in equity into financially weaker AI companies, alongside about $650 billion in debt, including off-balance-sheet vehicles. In return, investors secured some $1.4 trillion in future revenue commitments: data-center contracts, compute purchases and chip orders flowing back to the firms providing the capital.
The circularity is the problem, the IMF said: the revenue meant to service the debt is promised to the same entities that supplied it. So if AI monetization disappoints, every leg buckles at once. Jason Wu, an assistant director in the IMF's monetary and capital markets department, called it a "triple whammy": equity investments lose value, debt becomes hard to service, and the future revenue commitments — the entire justification for the capital structure — fail to materialize.
"Wrong-way risk" at the core of the AI buildout
The Fund gave the structure a formal name: "wrong-way risk." Equity and debt investments in the AI firms depreciate in value precisely when the future revenue streams tied to them are impaired. Because a handful of companies hold most of the financing and the promises, stress at any single node could reverberate quickly across the system — a dynamic the IMF likened to circular mortgage-finance ties before the 2008 crisis.
About $320 billion of the $650 billion in debt sits with the firms receiving the money, including obligations backed by investor guarantees and contingent financing that never appear as conventional borrowing on a balance sheet — making it harder for investors to judge the true scale of the exposure.
The deals examined span the biggest names in AI: OpenAI, Anthropic, Nvidia, Amazon, Meta and Microsoft. With hyperscalers' share of global investment-grade bond issuance jumping to 10% from under 1% in 2024, AI-linked debt now competes directly with government bonds for investor capital — adding upward pressure on Treasury yields even as hyperscalers' free cash flow falls with spending outpacing returns.
Three triggers that could tighten global markets
The IMF named faltering AI investment as one of three developments that could sharply tighten global financial conditions — alongside a disorderly rise in government bond yields and cyber threats. "Faltering AI investment and profitability could challenge optimistic expectations and trigger a correction in asset prices linked to the AI industry," the report said.
The warning lands as markets already fret over AI debt. Chip stocks just logged their longest losing streak since 2008, and CoreWeave's bond yields have climbed to 15% — the exact pattern the "triple whammy" was designed to explain. The Brookings Institution estimates US AI investment could top $10 trillion from 2025 to 2032, a bigger share of US GDP than the railway or telecom booms.
The Fund's message is not that the AI boom is doomed, but that its financing has created hidden fragility. When the revenue that justifies $650 billion in borrowing is promised to the same companies that lent it, there is little shock absorber left — and the IMF has now put that structure on the record as one of the global economy's top risks.
By Hamza Faisal
