Fed Scrutinizing AI's Economic Impact
The U.S. Federal Reserve is now closely monitoring AI's impact on employment and inflation. Unlike past automation waves, the Fed is focused on how generative AI is transforming white-collar jobs. Policymakers are trying to determine if AI's productivity gains will offset inflation or just accelerate job displacement.
Federal Reserve Governor Michael Barr has warned that the AI boom could be inflationary in the near term. He points to the massive capital investment and surge in energy demand from data centers as potential drivers of price pressures, suggesting the technology boom is not a reason to lower interest rates. This view directly conflicts with that of Fed Chair nominee Kevin Warsh, who has argued AI will be a significant *disinflationary* force. Warsh believes productivity gains from AI will hold down inflation, potentially allowing for interest rate cuts to spur the economy. San Francisco Fed President Mary Daly notes that despite the hype, there is currently limited evidence in macroeconomic data of a significant AI effect on productivity. This creates a familiar challenge for the Fed, reminiscent of the 1990s when then-Chair Alan Greenspan had to look beyond official data to gauge the impact of the computer revolution. The debate extends to a potential policy paradox outlined by Fed Governor Lisa Cook. She described a scenario where AI boosts overall economic growth but simultaneously increases unemployment, forcing a difficult choice between raising rates to fight inflation or cutting them to address job losses. Unlike past technology waves, the disruption is aimed at cognitive, non-routine tasks. One analysis found that jobs in software development, IT, mathematics, and legal and accounting professions are among the most exposed to generative AI. This potential for upheaval is prompting calls for new ways to measure the economy. Some economists suggest the Fed may need to start monitoring novel indicators like the price of computing power and the energy consumption of data centers to get an early read on AI-driven economic shifts.
