🔍 Read the full analysis: The Fed’s Risk Survey Puts AI At 87% As Australia Plans A Regulatory Test on ThorstenMeyerAI.com
Prime made for students and young adults
- Fast, free delivery for dorm and study essentials
- Prime Video and Amazon Music included
- Member-only deals
TL;DR
The Federal Reserve’s November Financial Stability Report says 87% of 23 market contacts surveyed in September and October cited AI as a risk to U.S. financial stability, up from 50% in the spring. Separately, Australia’s prudential regulator APRA said its 2027 system-wide stress test will examine AI-driven disruption and warned about risks from shared AI providers.
The Federal Reserve’s latest 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, while Australia’s prudential regulator said it will examine AI-driven disruption in a 2027 system-wide stress test. The developments put attention on potential market corrections, AI-enabled cyber threats and the possibility that disruption at a widely used provider could affect multiple financial institutions.
The survey appears in the Fed report released Friday, November 13. It was conducted by staff at the Federal Reserve Bank of New York, who asked market contacts about shocks that could harm the financial system over the next 12 to 18 months. Responses came from professionals at broker-dealers, banks, investment funds and advisory firms. The report says its data run through October 28, so the survey responses predate events in November.
The share citing AI rose from 50% among 20 contacts in the spring to 87% among 23 contacts in the latest survey. Other commonly cited risks were a correction in risk assets, at 52%; higher long-term interest rates, at 48%; cyberattacks, at 43%; and fiscal debt sustainability, also at 43%. The report says respondents ranked cyberattacks and fiscal debt sustainability as risks with especially severe potential consequences.
The Fed grouped the AI concerns into market valuations, cybersecurity and financing. Respondents raised the possibility that AI-related stocks could fall if returns on large investments disappoint, and cited stretched valuations, debt and complex financing as potential amplifiers. The report also notes that borrowing tied to advanced computing exceeded $680 billion by October 2026, about 31% of investment-grade nonfinancial corporate issuance, compared with less than 6% in 2023. The report separately says the largest U.S. bank holding companies have close to $1 trillion of exposure to firms and vehicles involved in the buildout.
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 Reach Financial Markets
The figures point to concern about more than the performance of technology stocks. If large investments in data centers and advanced computing rely on debt and expected future returns, a reassessment of those returns could affect companies, lenders and investors. The Fed’s report identifies the possibility of a correction but does not say that one is inevitable.
Cyber risk creates a different route into the financial system. The Fed says attacks on critical third-party providers could affect several institutions, especially where services are difficult to replace. It warns that disruption at a financial institution could weaken market liquidity and confidence or prompt forced asset sales. For customers, that makes the reliability of the systems and suppliers banks depend on relevant beyond the AI sector itself.
APRA’s focus on shared providers highlights the concentration issue: institutions may depend on a small number of AI services, creating a common point of exposure. The regulator says few institutions had tested how they would switch away from critical AI providers. That finding makes contingency planning and the ability to maintain services during an outage an important part of the supervisory concern.
Popular right now
eufy E25 Robot Vacuum and Mop with HydroJet Roller Mop, 20,000 Pa Suction
Ninja Flip Toaster Oven and Air Fryer SP151
Bose QuietComfort Wireless Noise-Cancelling Over-Ear Headphones, Cypress Green
As an affiliate, we earn on qualifying purchases.
The Fed survey is a snapshot of the views of a small, unnamed panel, not a forecast or an official Fed ranking of its own. The report explicitly says the survey summary should not be interpreted as representing the views of the Federal Reserve Board or the New York Fed. Its comparison with the spring survey is descriptive: 87% of 23 contacts cited AI in the latest round, compared with 50% of 20 contacts in the earlier one.
The Fed’s broader assessment describes the banking system as “sound and resilient” while also noting high equity valuations and risks tied to cyber threats and the data-center buildout. It says advances in large language models and agentic systems have created new challenges in detecting and exploiting software vulnerabilities. The report also says reports of agentic systems being involved in cyber events increased since its May report, without providing a count.
In its System Risk Outlook published November 12, Australia’s Australian Prudential Regulation Authority (APRA) said frontier models, including those from Anthropic and OpenAI, are improving at identifying and exploiting software flaws. APRA said its 2027 System Stress Test will examine AI-driven economic disruption. The two regulators’ actions are separate; the source material does not indicate a joint exercise or shared findings.
“APRA said frontier AI models, “including those from Anthropic and OpenAI,” are improving at finding and exploiting software flaws.”
— Australian Prudential Regulation Authority
Limits of the Survey and Risk Picture
The Fed’s 87% figure reflects 23 market contacts, and the report does not identify them. It measures what those respondents cited as a risk, not the probability that an AI-related shock will occur or the likely scale of losses. The number of contacts also differs from the spring survey, so the comparison does not establish how views changed among the same individuals.
The report does not quantify the likelihood of an AI-related market correction, give a count of cyber incidents involving agentic systems, or identify which third-party providers could pose the greatest risk. It also does not establish that the cited debt issuance or bank exposures have caused financial instability. APRA’s outlook, as described in the source material, does not provide detailed test scenarios, participating institutions or a schedule for its 2027 exercise.
The 2027 Stress Test Ahead
APRA’s next stated milestone is its 2027 System Stress Test, which will examine economic disruption driven by AI. Details of the test, including its assumptions and how results will be reported, have not been provided in the source material.
The Fed report offers a current assessment rather than a new rule or announced intervention. Its findings place AI-related valuations, financing, cyber threats and provider concentration among risks supervisors and market participants are watching. Further reporting will be needed to establish how regulators translate those concerns into supervisory expectations and whether firms make changes to provider contingency plans or financing practices.
Key Questions
What does the Fed’s 87% figure measure?
It is the share of 23 market contacts surveyed by New York Fed staff in September and October who named AI as a risk to U.S. financial stability over the next 12 to 18 months. It is not a measure of the probability of a crisis.
What AI-related risks did respondents identify?
The Fed report groups concerns around AI-related valuations, cyber threats and complex financing. Respondents also raised the possibility that a correction could follow if large AI investments do not produce expected returns.
What will Australia examine in its 2027 stress test?
APRA says its 2027 System Stress Test will examine AI-driven economic disruption. The source material does not specify the test scenarios or participating institutions.
Does the survey represent the Fed’s official view?
No. The report says the survey summary reflects the views of respondents and should not be interpreted as the views of the Federal Reserve Board or the New York Fed.
Source: ThorstenMeyerAI.com
