🔍 Read the full analysis: How AI Became A Focus Of The Fed’s Risk Survey At 87% on ThorstenMeyerAI.com
TL;DR
The Federal Reserve’s November Financial Stability Report says 87% of 23 market contacts named AI as a risk to U.S. financial stability, up from 50% in the spring survey. Respondents pointed to high AI-related valuations, cyber threats and complex financing; the Fed said the survey reflects contacts’ views, not the Federal Reserve’s own assessment.
Artificial intelligence was the most-cited risk in the Federal Reserve’s latest survey of financial-market contacts, with 87% of 23 respondents naming it as a potential threat to U.S. financial stability over the next 12 to 18 months. That was up from 50% in the spring survey, according to the Financial Stability Report released November 13; the Fed cautioned that the results represent respondents’ views, not the Federal Reserve’s own position.
The New York Fed collected responses from 23 contacts in September and October, including people at broker-dealers, banks, investment funds and advisory firms. The report’s data cutoff was October 28, so the survey reflects views gathered before events in November. In the spring, the survey drew 20 responses from March through April.
Contacts cited several distinct AI-related concerns, rather than one single risk. The report says respondents pointed to a possible correction in AI-related stocks if large investments fail to generate expected returns, and to stretched valuations, debt dependence and circular financing as factors that could amplify losses. They also raised the prospect of AI-assisted cyberattacks and complex financing tied to AI development.
The report’s ranking placed AI ahead of a correction in risk assets, cited by 52%; higher long-term interest rates, at 48%; cyberattacks, at 43%; and fiscal debt sustainability, also at 43%. These percentages describe the share of the surveyed contacts who named each risk, not measured probabilities of those events occurring. The Fed said cyberattacks and fiscal debt sustainability were rated by respondents as having the most severe potential consequences.
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
AI Risks Span Markets and Operations
The survey points to concern that AI could affect financial stability through multiple channels at once: investor losses if AI-related valuations fall, cyber incidents that disrupt institutions or vendors, and borrowing that links companies to the buildout. These are risks identified by market contacts; the survey does not establish that a market correction or a major AI-related disruption is imminent.
The Fed’s report also discusses the system’s exposure to the infrastructure supporting advanced computing. It says debt issuance tied to advanced computing exceeded $680 billion by October 2026, about 31% of investment-grade nonfinancial corporate issuance. The report’s figures put that share below 6% in 2023. It also says the largest U.S. bank holding companies had close to $1 trillion of exposure to firms and vehicles behind the buildout. Those figures underscore why a change in AI investment prospects could matter beyond technology companies, though exposure alone does not show that losses will occur.
Cyber risk could travel through shared suppliers as well as direct attacks on banks. The Fed warned that an attack on a critical third-party service provider could affect several institutions, especially where alternatives are limited. If disruptions impair a financial institution, the report said, consequences could include weaker market liquidity, reduced confidence among investors and depositors, and forced asset sales.
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How the Fed Survey Was Conducted
The Federal Reserve’s market-contact survey is conducted twice a year and asks participants which shocks could do the most damage to the U.S. financial system over the following 12 to 18 months. The latest findings appear in the Board’s Financial Stability Report, which also assesses conditions across markets and the banking system. The report described the banking system as “sound and resilient”, while noting high equity valuations partly driven by enthusiasm for superintelligence.
The survey is a small panel rather than a representative poll of all financial institutions or investors. The Fed does not identify the respondents, and its report explicitly says the survey summary should not be interpreted as the views of the Federal Reserve Board or the New York Fed. The increase from 50% to 87% shows a change in the share of contacts who cited AI, but does not by itself quantify the probability or likely scale of financial losses.
A separate development in Australia added a supervisory perspective. In its System Risk Outlook released November 12, prudential regulator APRA said frontier AI models, including those from Anthropic and OpenAI, were improving at finding and exploiting software vulnerabilities. APRA said its 2027 System Stress Test would examine AI-driven disruption. It also reported that few institutions had tested whether they could switch away from critical AI providers, highlighting a potential concentration risk that can arise when many firms rely on the same services.
What the Survey Cannot Establish
The survey does not show how likely an AI-related market correction, cyberattack or financing failure is, nor does it estimate potential losses. With 23 unnamed respondents, it offers a snapshot of views among selected market contacts rather than a broad measure of the financial industry’s position. The report also does not identify which contacts cited each specific AI concern.
The Fed said reports of agentic systems being involved in cyber events had increased since its May report, but it provided no count or measure of those events in the cited discussion. It remains unclear how much AI-enabled activity has caused real-world harm to financial institutions, how concentrated individual firms’ dependence on AI providers is, and how quickly they could move to alternatives. The report’s exposure figures also do not specify that the identified debt will become distressed.
Supervisors Turn to Stress Testing
APRA has said its 2027 System Stress Test will examine disruption driven by AI, while the Fed’s November report adds AI-related cyber threats, market valuations and data-center financing to its current financial-stability discussion. The source material does not give a date for a follow-up Fed survey or a new U.S. stress test focused specifically on AI.
For now, the next developments to watch are how supervisors assess firms’ exposure to shared technology providers, whether institutions test their ability to switch vendors, and whether AI-related borrowing and investment continue to grow. The current survey records concerns, not a forecast; later reports or tests may offer more detail on the scale of those exposures and the resilience of institutions facing a disruption.
Key Questions
What does the 87% figure mean?
It means 87% of 23 market contacts surveyed in September and October named AI as a potential U.S. financial stability risk over the next 12 to 18 months. It is not a probability that a crisis will happen.
Why did AI-related concerns rise?
The report does not give one explanation for the increase. Respondents cited AI stock valuations, cyber threats and complex AI-related financing as separate concerns; the survey does not show which one drove the change from spring.
Does the Fed say AI has caused a financial crisis?
No. The report records market contacts’ concerns and discusses possible risks. It describes the banking system as sound and resilient and does not say that an AI-related financial crisis has occurred.
What is the shared-provider risk?
If several institutions rely on the same critical technology provider, an outage or attack at that provider could disrupt multiple firms. The Fed warned that limited alternatives could make such effects harder to contain.
What happens next?
Australia’s APRA says its 2027 System Stress Test will examine AI-driven disruption. The source material does not identify a comparable upcoming Fed test focused specifically on AI.
Source: ThorstenMeyerAI.com
