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Jerome Powell's successor and the Chicago Fed president foresee wildly different interest rate outcomes from the evolution of AI.
Kevin Warsh, who is positioned as Jerome Powell's successor, offers a distinct perspective on the economic ramifications of artificial intelligence (AI), primarily viewing its widespread adoption as a disinflationary force. During his testimony to the Senate Banking Committee on April 21, Warsh articulated a thesis centered on AI's potential to drive substantial productivity gains within corporate America. He acknowledged that the initial surge in capital expenditures required to build AI data centers and related infrastructure would create a temporary increase in demand, estimating its impact to be a few tenths of a percentage point. However, Warsh strongly emphasized that the long-term effects on the supply side of the economy, leading to a significant increase in potential output, would considerably outweigh these short-term inflationary pressures. This structural disinflation, he argues, would provide the Federal Open Market Committee (FOMC), the key monetary policy-setting body, with the flexibility to implement lower interest rates. This stance is particularly noteworthy given Warsh's historical reputation as a monetary hawk during his previous tenure on the FOMC (2006-2011), where he consistently opposed lower interest rates, even amid rising unemployment, due to concerns about accelerating inflation. His current view on AI suggests a fundamental shift in his economic outlook based on this transformative technology's potential.
In sharp contrast to Warsh's disinflationary outlook, Chicago Fed President Austan Goolsbee projects that AI's integration into the economy could paradoxically lead to higher inflation, potentially even stagflation—a challenging economic condition characterized by stagnant growth, high unemployment, and rising prices. Goolsbee, who participates in Fed monetary policy discussions, presented his argument at the Hoover Institution Monetary Policy Conference on May 8. His central premise distinguishes between unexpected and anticipated productivity increases driven by technology. He cited the internet's unexpected growth acceleration in the mid-1990s, which allowed the then-Fed chair Alan Greenspan to cut interest rates without fueling inflation. However, Goolsbee contends that the current AI revolution is different because businesses and investors are *already aware* of its imminent productivity benefits. This widespread anticipation, he fears, will prompt businesses and consumers to pull forward their spending and investments, creating an overheated economy *before* the actual productive capacity fully materializes. He specifically highlighted that "Higher investments in data centers driven by rising stock market valuations driving up the cost of land, electricians, computer chips, etc., for non-AI industries" would contribute to this inflationary pressure. This scenario would push the "ideal interest rate higher, not lower," directly contradicting Warsh's view. Goolsbee's commentary implies a risk of stagflation, where excessive spending, driven by AI expectations, outstrips real economic capacity, leading to rising inflation while constraining job and economic growth. This presents a critical dilemma for the Fed, as conventional tools for combating inflation (higher rates) could exacerbate economic slowdown, while promoting growth (lower rates) could worsen inflation.
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