Federal Reserve Chair Kevin Warsh offered a cautiously optimistic view on artificial intelligence on Friday, describing it as potentially the most significant economic shift of his lifetime while cautioning that the journey will be rocky.
Speaking at the IMF-World Bank Annual Meetings in Bangkok, Warsh said, "I want you to hear from me optimism, but optimism leavened by the seriousness of purpose." He envisions AI boosting productivity over the long term, but the path could be uneven and disruptive, a message that resonates as markets question whether massive AI infrastructure spending will yield adequate returns.
Warsh declined to comment on the Fed's upcoming October 27-28 policy meeting.
AI transformation does not guarantee AI returns
Warsh's stance is not a typical AI warning. He sees AI as a powerful productivity shock capable of reshaping output, employment, and the global economy. However, the investment landscape is shifting.
Steve Sosnick, chief market analyst at Interactive Brokers, told Reuters that investors are now questioning "the speed, the efficacy and the profitability of the rapid build-out in AI." He noted that a slower pace of data-centre construction would eventually reduce hardware spending as customers stop buying equipment at almost any price.
This distinction is crucial: technologies can transform economies while still producing poor investments during the build-out. Railways, telecoms, and the internet created enormous economic value, but investors also lost money when capital flooded into projects whose returns failed to justify costs.
CoreWeave shows financing is becoming the bottleneck
CoreWeave has become the clearest example of this tension. The Nvidia-backed cloud provider carries around $50 billion of debt, and yields on some of its unsecured bonds have surged into distressed territory. One bond due in 2031 traded above a 16% yield this week.
Demand has not disappeared. CoreWeave continues to point to a large contract backlog and strong demand for GPU computing. But when borrowing costs rise sharply, every new data centre must generate a higher return before the project makes economic sense. That can slow expansion even while customers still want more computing power.
Charu Chanana, chief investment strategist at Saxo, said markets are becoming more demanding about profitability, financing, and capital discipline as investors separate profitable AI suppliers from heavily indebted infrastructure companies.
That is the risk beneath Warsh's optimistic long-term view. AI adoption can continue accelerating while weaker projects are forced to stop because capital becomes too expensive.
AI investors now want cash flow, not just adoption
Investors spent much of the AI boom rewarding companies for user growth, product launches, and rising usage. They are increasingly demanding evidence that those products can generate enough cash to support the infrastructure behind them.
Meta's Muse illustrates the challenge. The product has attracted millions of users, offering evidence that agentic AI can achieve genuine consumer adoption. Ben McMillan, chief investment officer at IDX Advisors, told Business Insider that Meta's existing audience gives it time to monetise Muse, "but only so much," particularly as higher bond yields offer investors an increasingly attractive alternative.
That comparison becomes more important when the risk-free rate is high. AI projects must now generate returns that compensate investors for both execution risk and the opportunity cost of capital.
Warsh's message therefore strengthens the long-term AI bull case while making the investment case more demanding.
This article is for informational purposes only and does not constitute financial advice.
