A strong argument suggests that robust economic spending combined with weak labor growth points to higher productivity, potentially from AI. Because productivity gains are disinflationary over the long term, this could give the Fed justification to lower interest rates now without worrying as much about current inflation levels.

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AI challenges traditional monetary policy logic. Historically, lower interest rates spur capital investment that creates jobs. However, if lower rates now incentivize investment in job-reducing AI, the Fed's primary tool for boosting employment may become less effective or even have ambiguous effects, a new dynamic policymakers must understand.

Despite his reputation as an inflation hawk, Fed Chair nominee Kevin Warsh is arguing for lower interest rates. He claims a coming AI-driven productivity boom will be disinflationary, allowing for looser monetary policy. This stance strategically aligns with President Trump's desire for rate cuts, making his nomination politically palatable.

For 2026, massive capital expenditure on AI infrastructure like data centers and semiconductors will fuel economic demand and inflation. The widely expected productivity gains that lower inflation are a supply-side effect that will take several years to materialize.

For 2026, AI's primary economic effect is fueling demand through massive investment in infrastructure like data centers. The widely expected productivity gains that would lower inflation (the supply-side effect) won't materialize for a few years, creating a short-term inflationary pressure from heightened business spending.

Federal Reserve Chair Jerome Powell stated that after accounting for statistical anomalies, "job creation is pretty close to zero." He directly attributes this to CEOs confirming that AI allows them to operate with fewer people, marking a major official acknowledgment of AI's deflationary effect on the labor market.

While AI is expected to be disinflationary long-term, its immediate impact could be inflationary. The massive capital expenditure required to build AI infrastructure will significantly increase demand in a fully employed economy before the productivity benefits are realized.

AI is creating a secular trend of higher productivity but lower labor demand, leading to a 'jobless recovery' and structurally higher unemployment. This consistent threat to the Fed's maximum employment mandate will compel it to maintain dovish monetary policy long-term, irrespective of political pressures or short-term inflation data.

The podcast highlights a contradiction in the argument that an AI productivity boom justifies rate cuts. Standard economic theory suggests that higher productivity increases the economy's potential, raising the equilibrium interest rate (R-star). To prevent overheating, the Fed should theoretically raise, not lower, its policy rate.

As AI gets exponentially smarter, it will solve major problems in power, chip efficiency, and labor, driving down costs across the economy. This extreme efficiency creates a powerful deflationary force, which is a greater long-term macroeconomic risk than the current AI investment bubble popping.

A rapid, broad adoption of AI could significantly boost productivity, leading to faster real GDP growth while simultaneously causing disinflation. This supply-side-driven scenario would present a puzzle for the Fed, potentially allowing it to lower interest rates to normalize policy even amid a strong economy.