Warsh taps Andreessen to co-lead Fed's AI productivity panel

A venture capitalist whose firm invests heavily in AI startups will now help the Federal Reserve figure out what AI does to jobs and productivity. Chair Kevin Warsh named Marc Andreessen to co-lead the "Productivity and Jobs" panel of a five-task-force review of how the Fed conducts monetary policy, as reported by The Washington Post. His co-leads are Stanford economist Charles I. Jones, currently on leave at Anthropic, and Microsoft executive vice president Asha Sharma, who is CEO of Xbox.

The panel's stated remit, per the Fed's own announcement, is to "assess the economic impact of new general-purpose technologies, including artificial intelligence, to inform the Federal Reserve's policy judgments." Warsh has publicly said that productivity gains from AI could affect interest rates, so where this group lands feeds directly into how officials read the growth-versus-inflation tradeoff. All five task forces are expected to conclude their work by the end of the year, with recommendations reported back to the Federal Open Market Committee.

Why this deserves attention beyond the usual monetary-policy beat: an active AI investor and an economist on leave at a frontier AI lab are helping shape the frame a central bank uses to judge whether the technology is deflationary through productivity or inflationary through demand-side buildout. Both readings are already circulating inside the Fed, and some officials are warning AI may actually stoke inflation pressures rather than ease them. Sharma's title on the roster is Xbox CEO rather than one of Microsoft's AI product leads, which is at minimum a curious choice given the mandate.

The honest caveat is that these are advisory panels. Findings go to the FOMC, which will do with them what it does. The reporting also does not detail how conflicts of interest will be handled for members whose day jobs sit inside the sector the panel is analyzing, and it does not spell out how the group will separate near-term data-center demand from longer-run productivity gains.

If you build or invest in AI systems, the signal is that a major central bank now considers your sector's trajectory a formal input to rate-setting evidence. That is a bigger thing than the announcement's dry framing suggests.