Fed Official Explains AI Role in Monetary Policy

Federal Reserve President Mary Daly says AI is impacting the economic landscape but not yet driving policy decisions.

Updated on Oct. 30, 2026 in Artificial Intelligence

Isometric editorial illustration showing a monolithic industrial data center structure, representing large-scale infrastructure and economic analysis.
San Francisco Federal Reserve President Mary Daly noted that while AI infrastructure spending influences current economic trends, the central bank does not rely on the technology for its policy decisions. AI Illustration. Upload story photo >

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

San Francisco Federal Reserve President Mary Daly stated that while AI is currently influencing economic trends through infrastructure spending, the Federal Reserve does not utilize the technology for policy formulation or forecasting. The institution currently monitors AI-driven productivity shifts to help navigate the future path of monetary policy.

Why it matters

The gap between current heavy investment in AI infrastructure and measurable productivity gains creates significant uncertainty for economic forecasters. Understanding this disconnect is essential for the Federal Reserve as it evaluates potential future deflationary impacts and necessary policy adjustments.

The Federal Reserve focuses on a 12-month horizon for immediate monetary policy decisions while evaluating the 5- to 10-year outlook for AI-driven deflation. Officials currently use AI primarily for research efficiency and coding tasks rather than economic modeling.

The players

Mary Daly

She serves as the President of the Federal Reserve Bank of San Francisco and is a key voice in United States monetary policy discussions.

Alan Greenspan

He is a former chair of the Federal Reserve who oversaw a major technology-driven economic period during the 1990s.

The details

While companies are actively boosting demand through substantial AI infrastructure spending, macroeconomic studies show limited evidence of immediate productivity boosts. The Federal Reserve continues to monitor disaggregated data to identify early economic signals as it maintains what Mary Daly describes as a slightly restrictive policy stance.

Timeline

  1. February 17, 2026: Mary Daly spoke at the Silicon Valley Leadership Group.

  2. June 2026: Daly identified AI as potentially deflationary.

  3. October 2026: Daly described monetary policy as slightly restrictive.

  4. 1990s: A technology revolution occurred during Alan Greenspan's tenure at the Fed.

The Tech Race

This evaluation of AI echoes the 1990s technology revolution during Alan Greenspan's tenure by scrutinizing how new tools translate into long-term productivity. The current focus represents an effort to distinguish between genuine technological paradigm shifts and cyclical investment trends.

The current slightly restrictive monetary policy directly influences borrowing costs and interest rates on consumer loans across the country. Readers should monitor these Fed signals to understand the potential for future shifts in inflation and overall economic growth.

The takeaway

Technological advancements often require years of infrastructure spending before they meaningfully lower the cost of goods and services. Consumers should remain aware that today's AI investment boom may not immediately lower prices but could shift the economic landscape over the coming decade.

Further reading

For more context on how machine learning intersects with economic strategy, visit the Artificial Intelligence section.

Live Poll

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