The Federal Reserve's latest Financial Stability Report has a new top concern: artificial intelligence. In a survey of market professionals conducted by the New York Fed, 87% of respondents flagged AI as a risk to US financial stability—up sharply from 50% in the spring. That makes AI the most-cited threat in the report, overtaking more traditional worries like high interest rates and market corrections.
What the survey found
The New York Fed polled 23 professionals across broker-dealers, banks, investment funds, and advisory firms in September and October. The results, published in the stability report, show that AI-related risks are now top of mind for the people who manage money and trade in markets every day.
The concerns aren't just about stock prices. Respondents also highlighted AI-enabled cyberattacks and the complicated financing behind the data-center boom. Traditional risks are still on the list: a correction in risk assets was the second most-cited risk (52%), followed by higher long-term interest rates (48%). Cyberattacks and US fiscal debt sustainability were each cited by 43% and were seen as among the most severe if they were to materialize.
What's new is how fast the financing "plumbing" around AI is growing. The Fed said advanced computing-related debt issuance topped $680 billion as of October—about five times the total for all of 2023. It also noted that the largest US bank holding companies have close to $1 trillion of exposure to big tech firms, data center developers, related special purpose vehicles, private credit vehicles, and utilities.
Why AI debt matters
A large slice of the AI buildout is debt-funded, and much of it is routed through special purpose vehicles (entities set up for a specific project) and private credit funds. These structures can be sensitive to tighter funding conditions. If investors turn more risk-averse or rates stay higher for longer, refinancing becomes harder, lenders demand wider interest-rate spreads, and projects can lose access to fresh cash right when they need to roll over loans.
The knock-on effect is that credit conditions for data centers and related infrastructure can swing quickly. Any strain may land back on big banks through their exposures and a reduced appetite to underwrite the next wave of AI-infrastructure deals. This is a classic example of how a technology boom can create financial vulnerabilities that aren't always visible in the headlines.
For everyday investors, the key takeaway is that the AI boom isn't just about stock prices—it's also about debt. When companies and projects borrow heavily to build data centers and other AI infrastructure, they become sensitive to interest rates and credit markets. If those conditions tighten, it could ripple through the financial system, affecting everything from bank stocks to the broader economy.
What it means for investors
The Fed's report is a warning, not a forecast. It doesn't say a crisis is coming, but it does highlight where the risks are building. For investors, this means paying attention to how much debt is piling up in the AI sector and how that debt is structured. Special purpose vehicles and private credit can be less transparent than traditional corporate bonds, making it harder to assess risk.
It's also a reminder that the AI trade, which has been a major driver of stock market gains, carries risks beyond just valuation. If credit conditions tighten, the companies and projects that have borrowed heavily could face stress, and that could spill over into the broader market. The Fed's survey is a signal that regulators are watching these risks closely, and that could lead to more scrutiny or even new rules down the road.
For now, the report is a useful reality check. The AI boom is real, but it's not risk-free. As the Fed's survey shows, the people who are closest to the markets are increasingly worried about the potential downsides. That doesn't mean you should panic, but it does mean you should be aware of the risks as you make your own investment decisions.
