Federal Reserve Chair Kevin Warsh declared artificial intelligence a "hinge point in history" at the Jackson Hole Economic Policy Symposium on Monday, citing hard numbers to support a call for fundamental shifts in how the Fed calibrates policy.
Annualized sales at the two leading AI laboratories now exceed $100 billion, Warsh said—a more than 500 percent increase from one year earlier. That velocity, he argued, qualifies AI as "potentially a new factor of production," moving it from technology novelty to economic input.
The core problem Warsh identified: traditional Fed models rely on economic indicators—inflation, employment, productivity—that AI may render unreliable. If AI reshapes industrial operations faster than historical data can capture, the models the Fed has used for decades to set interest rates and employment targets could begin to signal the wrong direction.
Warsh did not claim this shift is guaranteed. Job displacement and institutional lag remain real counterarguments. But his argument was explicit: policymakers cannot simply react to AI developments. The Fed must proactively integrate AI into its daily economic models and analytical tools.
He suggested two paths: the Fed could apply AI internally to sharpen its own forecasting and trend detection. Simultaneously, policymakers need to address workforce transition—preparing labor markets for industries that may look structurally different in five years.
Warsh also called for international cooperation, framing AI's risks and benefits as too large for competitive national strategies. He reiterated his long-standing position against extended Fed forward guidance, consistent with his broader thesis that the economic environment is shifting too fast for conventional policy signaling.
