On November 13 the Federal Reserve published its semiannual Financial Stability Report. Of 23 market contacts surveyed by the New York Fed in September and October, 87% cited AI as a risk to financial stability, up from 50% in the spring and the most of any risk. A box in the report says advanced computing debt issuance passed $680 billion by October, about five times all of 2023, and that leases, guarantees and equity stakes from hyperscalers and GPU makers create a "circular financing" dynamic.
Key Takeaways
- ✓AI was the most-cited risk at 87% (50% in spring), ahead of a risk asset correction at 52%, higher long-term rates at 48%, and cyberattacks and fiscal debt sustainability at 43% each.
- ✓Respondents named three AI concerns: stretched valuations and an earnings miss triggering a correction, cyber risk from state actors or frontier models themselves, and complex AI-related financing.
- ✓Advanced computing debt issuance passed $680 billion by October (vs $130 billion in all of 2023), rising from under 6% to about 31% of nonfinancial investment-grade corporate issuance.
- ✓Not-yet-commenced leases (over $1 trillion undiscounted) plus take-or-pay contracts and residual value guarantees (over $2 trillion) sit off balance sheets, so big tech exposure may be larger than it looks.
- ✓The survey reflects respondents only; the report says it does not represent the views of the Fed Board or the New York Fed.
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Background
The Federal Reserve publishes its Financial Stability Report twice a year. The edition released on November 13 (US Eastern) reflects data as of October 28. For its salient-risks survey, the New York Fed asked 23 contacts at broker-dealers, banks, investment funds and advisory firms in September and October, and 87% cited AI as a risk, up from 50% in the spring survey. The report drew wide discussion on X because it puts the AI investment boom at the center of a financial-stability framework.
How the money flows
A box titled "Leverage in the Data Center Buildout" explains the mechanics. Hyperscalers sign long-term leases with third-party data center developers, who use those leases to finance construction. GPU makers often guarantee the residual value of GPU collateral for compute or LLM firms buying their chips. Equity stakes from hyperscalers and GPU makers in those smaller firms then create a "circular financing" dynamic. The debt mix is also shifting from corporate bonds to private credit, structured credit and project finance.
Numbers that matter
This is a regulatory report, not a benchmark. Key figures: advanced computing debt issuance passed $680 billion by October, versus $130 billion in all of 2023; outstanding public debt tied to advanced computing is over $1.1 trillion; not-yet-commenced leases exceed $1 trillion undiscounted and take-or-pay contracts and residual value guarantees exceed $2 trillion; the largest US bank holding companies have close to $1 trillion of exposure to tech firms, data center developers and related vehicles.
What developers should do
Nothing changes in policy for developers, but it is a signal: compute supply leans heavily on debt and long-term contracts, so an AI earnings miss could ripple into GPU prices, cloud discounts and startup funding. Teams that depend on a single cloud or a single model API may want a multi-vendor fallback and a close look at compute contract terms. The full PDF is on the Federal Reserve website.
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