Fed Chair Warsh Signals AI as Historic Economic Shift, Tracking $100B+ Annual Token Sales
Federal Reserve Chair Kevin Warsh called artificial intelligence a watershed moment in economic history, noting that spending on AI infrastructure has surged to levels unseen since 2021, with token sales at leading labs exceeding $100 billion annually.
AI Reshapes Capital Spending Across the Economy
Federal Reserve Chair Kevin Warsh used his Jackson Hole speech to underscore the transformative role artificial intelligence is playing in capital allocation. According to Warsh’s remarks, business capital expenditures have climbed to their fastest rate since 2021, rising roughly 9% over the past four quarters—with more than half of that growth driven by AI infrastructure buildout. The Fed chair framed this as a reversal of post-2008 economic thinking, when policymakers worried about “secular stagnation” and a shortage of productive investment opportunities. AI, in Warsh’s assessment, has fundamentally altered that equation.
Token Sales Surge as AI Labs Attract Massive Capital Inflows
Perhaps most striking were Warsh’s figures on actual revenue flowing into AI companies. He reported that annualized token sales at the two leading AI labs alone have reached more than $100 billion, representing a gain exceeding 500% from the prior year. Tokens, in this context, represent the basic units by which AI companies monetize access to their models—users purchase tokens to interact with large language models. This explosive growth underscores how rapidly capital is flooding into AI-related infrastructure globally. Warsh characterized this phenomenon as resembling a “hyper-Moore’s law,” suggesting that AI capability is advancing even faster than the traditional observation that computing power doubles roughly every two years.
The Fed’s New Framework for AI as Economic Factor
Beyond the spending figures, Warsh signaled a significant shift in how the Federal Reserve conceptualizes artificial intelligence. The central bank now treats AI as “potentially a new factor of production”—a classification typically reserved for fundamental drivers like capital and labor. This framing reflects growing recognition that AI could reshape productivity, economic growth, and inflation dynamics for years to come. Warsh emphasized that he will be monitoring the “second derivative” of AI spending—not just the level of current investment, but whether the growth rate itself continues accelerating or begins to decelerate. That metric matters enormously for policymakers trying to forecast long-term inflation and growth scenarios.
Warsh’s comments reflect a wider institutional acceptance that artificial intelligence represents a genuine inflection point in economic history, reshaping how capital is deployed and how productivity gains may materialize. As AI spending continues to dominate business investment decisions, the implications for monetary policy and broader market dynamics could prove substantial—particularly for asset classes sensitive to shifts in growth expectations and capital allocation patterns.
Source: Federal Reserve Chair Warsh’s Jackson Hole speech (August 28, 2026), via Decrypt. Not financial advice.