Fed Vice Chair Jefferson Examines AI's Role in US Productivity Growth

Federal Reserve Vice Chair Philip Jefferson offered an analysis of how emerging technologies, including artificial intelligence, may reshape U.S. productivity trends and broader macroeconomic conditions, speaking before the University of California, San Diego Economic Roundtable.

Jefferson framed his remarks around what economists call the "productivity puzzle" — the persistent gap between expectations for technology-driven output gains and the relatively modest productivity growth recorded in official statistics. The question carries direct relevance for the Fed's monetary policy deliberations, since sustained productivity improvements can influence inflation dynamics, wage growth, and the neutral rate of interest.

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The speech drew on historical parallels, examining how previous waves of transformative technology — from electrification to the computing revolution of the 1990s — took years or even decades to register meaningfully in productivity data. That lag, economists have argued, reflects the time required for businesses to reorganize processes, train workers, and develop complementary innovations before efficiency gains become measurable at a macroeconomic scale.

Jefferson's remarks arrive at a moment of intense debate inside and outside the Fed over whether the current AI investment cycle will generate the kind of durable productivity surge that would allow the economy to grow faster without stoking inflation. Policymakers and investors are closely watching business investment data and labor productivity reports for early signals of an AI-driven inflection point.

The implications for monetary policy are significant: a genuine productivity acceleration could raise the economy's noninflationary speed limit, potentially affecting how the Federal Reserve calibrates interest rates over the medium term. Continue reading at FRB: Speeches