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TL;DR
In its November 13 Financial Stability Report, the Federal Reserve said 87% of 23 market contacts surveyed in September and October named AI as a risk to U.S. financial stability, up from 50% in the spring. Australia’s APRA said it will examine AI-driven disruption in its 2027 system-wide stress test; both supervisors point to cyber threats and reliance on shared providers.
The Federal Reserve’s November 13 Financial Stability Report says 87% of 23 market contacts surveyed in September and October named artificial intelligence as a risk to U.S. financial stability, up from 50% in the spring. A day earlier, Australia’s prudential regulator, APRA, said its 2027 system-wide stress test will examine AI-driven disruption, citing cybersecurity threats and institutions’ reliance on common technology providers.
The Fed’s twice-yearly survey asks market participants which shocks could cause the most damage to the U.S. financial system over the following 12 to 18 months. The latest responses came from professionals at broker-dealers, banks, investment funds and advisory firms. The Fed cautioned that the survey summarizes respondents’ views and does not represent the views of the Federal Reserve.
AI was followed by a correction in risk assets, cited by 52% of contacts, up from 35% in spring; higher long-term interest rates, at 48% versus 20%; cyberattacks, at 43% versus 20%; and fiscal debt sustainability, also at 43% versus 30%. The report said cyberattacks and fiscal debt sustainability were rated as risks with the most severe potential consequences.
Respondents’ AI concerns covered potentially overvalued shares and uncertain returns on heavy investment, cyberattacks enabled by AI, and complex financing tied to AI. Separately, the Fed reported that debt issuance associated with advanced computing exceeded $680 billion by October 2026, about 31% of investment-grade nonfinancial corporate issuance. That compares with less than 6% in 2023. The report also put the largest U.S. bank holding companies’ exposure to firms and vehicles behind the buildout at close to $1 trillion.
Explained in motion
Banks, insurers and funds often rely on the same few models, platforms and service providers. Supervisors warn that one problem there can reach all of them at once.
Illustrative sequence, not a real incident
Shared providerMany institutions run on the same model, platform or service provider.
One changeA failure, a compromise or a model update changes how that provider’s AI works.
Many hit at onceEvery institution that depends on it is affected at the same time.
Services stallPayments, claims or trading slow down. The Fed warns that disruptions can hurt market liquidity and confidence.
No quick switchThe damage grows when there is no ready substitute for the service.
Source: APRA, System Risk Outlook (November 12, 2026) and letter to industry on AI (April 30, 2026); Federal Reserve, Financial Stability Report (November 2026), pp. 47–48. Illustrative sequence built from the mechanisms they describe.
Graphic: Powered by Thorsten Meyer AI
How AI Could Spread Financial Strains
The reports describe several ways AI-related problems could reach beyond technology firms. If expected returns from AI investment fall short, a correction in related shares could affect investors and lenders. The Fed’s discussion of rising data-center borrowing adds a financing channel, although the report does not say that a crisis is imminent.
Cyber risk could also have broader effects if an attack disrupts a provider used by multiple financial institutions. The Fed warned that disruption at a financial institution could weaken market liquidity, undermine depositor or investor confidence and prompt forced asset sales. These are described as possible consequences, not events the report says have occurred. For customers and businesses, the practical concern is whether essential services can keep operating if a widely used provider fails or is compromised.
APRA’s planned test matters because it could examine how disruption travels across a financial system rather than treating AI risk as a concern for individual firms alone. The agency’s findings may help supervisors identify dependencies and weaknesses, but the source material does not set out the test’s scenarios or expected results.
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The Fed report draws on responses collected in September and October, and says its data are current through October 28. The comparison with spring is between 23 contacts in the latest survey and 20 in the earlier one. The rise in AI mentions is a change in the share of respondents naming that risk; it is not a measure of the likelihood or scale of an AI-related financial event.
In its own assessment, the Fed said the banking system was “sound and resilient”, while noting high equity valuations partly associated with enthusiasm for super intelligence. It also reported that advances in large language models and agentic systems could make it easier to find and exploit software vulnerabilities. The report said accounts of agentic systems being involved in cyber events had increased since its May report, but provided no count.
APRA’s November 12 System Risk Outlook said frontier models, including those from Anthropic and OpenAI, are improving at identifying and exploiting software flaws. It also identified a shared-provider concern: an interruption at one critical supplier could affect multiple institutions. APRA reported that few institutions had tested how they could switch away from critical AI providers.
Survey Limits and Test Details
The survey involved only 23 unnamed market contacts, and the Fed explicitly says their answers are not the central bank’s own view. The results show what those respondents cited, not the probability that any risk will occur. The source material also gives no measure of how much financial exposure is directly attributable to AI-related activity beyond the stated debt and bank-exposure figures.
APRA has said its 2027 test will examine AI-driven economic disruption, but the specific scenarios, participating institutions, timetable and criteria for judging resilience are not provided. It is also unclear how many firms’ AI services depend on the same providers, or how quickly alternatives could be brought online. The Fed’s reference to increased reports of agentic systems’ involvement in cyber events is not accompanied by a number or details of those events.
The 2027 Stress-Test Questions
The next stated milestone is APRA’s 2027 System Stress Test, which is expected to examine AI-driven disruption. APRA’s published outlook does not provide further test details in the source material. Its findings could clarify how supervisors assess shared-provider dependencies and firms’ ability to maintain or restore services.
In the United States, the Fed’s report presents current findings and risk assessments rather than announcing a specific AI-focused test or new regulatory measure. Further clarity may come through later financial-stability reports and supervisory disclosures. Until then, the confirmed picture is that AI has become the most frequently cited risk in this survey, while the scale and likelihood of any resulting financial disruption remain uncertain.
Key Questions
What did the Federal Reserve survey find about AI?
87% of 23 market contacts surveyed in September and October named AI as a risk to U.S. financial stability. The Fed said the survey reflects respondents’ views, not the views of the Federal Reserve.
What risks did respondents associate with AI?
The report grouped concerns around AI-related valuations and investment returns, AI-enabled cyberattacks and complex financing connected to AI. Respondents also raised the possibility of damage caused by frontier AI models themselves.
What is Australia planning to test?
APRA said its 2027 system-wide stress test will examine AI-driven disruption. The source material does not specify the test scenarios or which institutions will take part.
Why are shared AI providers a concern?
If several financial institutions rely on the same critical provider, an outage or cyber incident could affect them at once. APRA reported that few institutions had tested a way to switch away from critical AI providers.
No. The survey records risks cited by a small group of market contacts; it does not estimate the likelihood of a crisis. The Fed also described the banking system as sound and resilient.
Source: ThorstenMeyerAI.com
