Federal Reserve Assesses Economic Impact of AI

The central bank monitors AI investment to guide interest rate policy, though it currently avoids using the tech for forecasting.

Updated on Oct. 30, 2026 in Artificial Intelligence

Federal Reserve Assesses Economic Impact of AI

Live Poll

Should artificial intelligence developments play a formal role in national monetary policy decisions?

Federal Reserve officials are currently evaluating how artificial intelligence influences the United States economy, though the agency does not yet use the technology for formal forecasting or policy formulation. While investment in AI infrastructure is increasing demand, current data shows limited evidence of immediate productivity gains.

Why it matters

The gap between massive corporate spending on AI infrastructure and lagging productivity growth creates significant uncertainty for central bankers. Understanding this disconnect is essential for determining the future path of interest rates and monetary policy.

The Federal Reserve currently limits its use of AI to internal coding and research efficiency tasks. Officials are monitoring disaggregated data to identify early signals, as current productivity gains have yet to materialize in macroeconomic studies.

The players

Mary Daly

President of the Federal Reserve Bank of San Francisco who monitors how technological shifts impact macroeconomic conditions and interest rate policy.

The details

The Federal Reserve assesses economic growth by tracking disaggregated data, or granular information broken down by sector, to identify shifts in productivity. Officials are currently reconciling high capital expenditure on AI infrastructure with the lack of measurable efficiency gains in the wider economy. This analysis remains observational, as formal monetary policy formulation currently relies on traditional economic models rather than machine-learning forecasts.

1990s: Technological advancements occurred during the tenure of Alan Greenspan.
February 17, 2026: Mary Daly addressed the Silicon Valley Leadership Group.
June 2026: Daly identified AI as a potential deflationary factor.
October 2026: Daly characterized United States monetary policy as slightly restrictive.

The Tech Race

This cautious stance follows the precedent of the 1990s technology revolution, where massive corporate infrastructure spending took years to yield measurable productivity gains. The Federal Reserve is actively comparing current AI investment trends against that period to inform its growth projections.

Investors and business leaders should anticipate continued uncertainty in central bank guidance as officials weigh AI-driven spending against productivity results. There is no timeline for when AI-assisted forecasting might become a primary tool for setting national interest rates.

The takeaway

The Federal Reserve remains focused on real-world productivity data rather than hype when setting monetary policy. Watch for upcoming macroeconomic reports to see if productivity gains begin to match the current scale of AI infrastructure spending.