Federal Reserve flags AI as the top financial stability risk in its latest survey

In its twice-yearly Financial Stability Report, released Friday, the Federal Reserve now ranks artificial intelligence as the top near-term risk to U.S. financial stability. In the report's Survey of Salient Risks, run with market contacts in September and October, 87% of respondents cited AI as a salient risk, up from 50% in the spring 2026 survey and far ahead of every other danger the participants named.

What the Fed's new survey shows

The report's top five cited risks are artificial intelligence at 87%, a risk asset correction at 52%, higher long-term rates at 48%, cyberattacks at 43% and fiscal debt sustainability at 43%, each a share of the market contacts surveyed. The report says respondents flagged three distinct AI areas of concern: elevated equity valuations and the chance that lower-than-expected earnings produce a market correction; cybersecurity risk, either from a malicious attack by a sophisticated state actor or from damage caused by frontier AI models themselves; and risks attached to complex forms of AI-related financing.

Related reading: Federal Reserve Skips Rate Vote at October 2027 Meeting.

Why AI is now a valuation story

The AI ranking is not abstract. The report ties the theme directly to its valuation warning, writing that asset valuation pressures "continued to be elevated" and that measures of equity valuations remained high, in part driven by market enthusiasm for what it calls super intelligence (SI). The price-to-earnings ratio for S&P 500 companies "stayed well above its historical median," and the equity premium, the extra return investors demand for holding stocks over risk-free bonds, remained low, near the lower end of its historical distribution. The survey's first AI concern, an overvalued market that reprices when earnings disappoint, is the same mechanism the report's valuation section treats as the priority.

Who pays if the trade resets

The direct exposure sits with equity owners. A risk asset correction is the survey's second-most-cited risk at 52%, and it is the scenario an expensive market faces if super intelligence earnings fall short. The current tape is already testing part of the story. The S&P 500 closed Friday at 7,561.67, and the 10-year Treasury yield ended near 5.15% on Friday, up from about 4.86% a week earlier and its highest level in roughly three months. Higher long-term rates are themselves the survey's third-most-cited risk, and the report notes Treasury term premiums "rose notably" since its May edition. Richer term premiums layered over a low equity risk premium is the combination the report's valuation section flags as fragile.

For the broader framework, see our Fed policy coverage.

Related reading: 10-Year Treasury Yield Nears 5.14% as Long End Climbs.

There is a counterweight in the same document. The survey is a readout of expectations, not a projection, and the report describes the system as otherwise fairly stable. The fundamentals case also runs the other way: rising earnings expectations have pushed the forward price-to-earnings ratio down over the past year, which is the growth logic behind super intelligence spending. Enthusiasm and correction risk sit inside the same publication, and the honest tension between them is the core of the report.

The dated catalyst is the Federal Reserve's December rate-setting meeting, the next chance for officials to speak to the term premium and long-rate discussion the survey highlights. That decision arrives with the report's valuation flags on the table and long-term rates near recent highs, so how the committee frames the balance between inflation, employment and financial stability is the first market test of whether its own flagship survey shifts the rate conversation into next year.

Related reading: 10-Year Treasury Yield at 5.09% as Curve Steepens Into the Fed's Rate Bind.

Related reading: FOMC rate decision October 27-28: consensus expects a hold, December stays live.

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