Warsh names Andreessen to Fed AI panel in 5-group push

The Federal Reserve is building formal machinery to treat artificial intelligence as an input to the price of money, and that machinery now has names, a mandate, and a year-end deadline.

Federal Reserve Chairman Kevin Warsh named Marc Andreessen to co-lead a task force assessing AI's economic impact on monetary policy, signaling the central bank's formal integration of technology-driven productivity into rate-setting. The productivity and jobs group is one of five task forces announced Thursday, alongside panels on communications led by former Bank of England Governor Mervyn King, balance sheet policy co-chaired by Raghuram Rajan and Jeremy Stein, and inflation frameworks staffed by Greg Mankiw and Nobel laureate Thomas Sargent.

"The productivity gains we're seeing from AI are the kind that don't show up in official statistics until years later, just like the internet in the 1990s," Warsh said at the announcement, drawing a direct parallel to Alan Greenspan's strategy during the last productivity boom. All 15 outside experts have been asked to deliver recommendations by year-end.

The composition of the productivity group drew immediate attention. Alongside Andreessen sit Charles I. Jones, the Stanford economist whose career work is the theory of technology-driven growth and who is currently on leave at Anthropic, and Asha Sharma, the Xbox chief executive who previously ran Microsoft's CoreAI product group. All three have spoken or written in sharply positive terms about AI's economic effects. The Washington Post noted that Warsh and Andreessen have been friends for decades.

Committees telegraph their conclusions through their membership. The Fed convened a group that already believes AI is reshaping the economy and asked it what follows for policy, which means the direction of the recommendations is visible before the first meeting. What remains open is how far they go and how quickly the policy committee absorbs them.

The Greenspan Precedent

The Greenspan-era playbook is the operating theory of Warsh's chairmanship. In 1996 and 1997, with unemployment falling and conventional wisdom demanding preemptive rate increases, Greenspan held rates steady after detecting productivity gains that had not yet surfaced in official statistics. Productivity growth accelerated from roughly 1.5% in the early 1990s to between 2.5% and 3% from 1996 through 2004, inflation stayed contained, and the expansion ran for years past the point where old models said it should have been choked off. A central bank that recognizes a productivity boom early can let the economy run. A central bank that misses one strangles the boom by fighting inflation that was never coming.

The task force is the institutional version of Greenspan's scattered corporate reports — a body designed to detect the productivity shift faster than official statistics will show it. Warsh has asked the groups to deliver recommendations by the end of the year, and market watchers are already parsing the Fed's language for signs of a shift.

What It Means for Markets

If the Fed concludes that AI-driven productivity gains are disinflationary, it could tolerate economic expansions that the old playbook would have cut short — reaching every asset priced against the policy rate, including the majority of stocks that have nothing to do with AI. The old reaction function treated strong growth and tight labor markets as inflation warnings that justified higher rates. A Fed that formally credits AI-driven productivity reads the same data differently: growth becomes evidence the technology is working rather than evidence of overheating.

The June nonfarm payrolls report, which showed just 57,000 net new jobs against a 115,000 consensus forecast, adds urgency to the question. The Atlanta Fed's GDPNow model for the second quarter has crashed to 1.3% from above 4% just weeks ago — a slowdown that would normally trigger rate-cut expectations but has been complicated by lingering inflation concerns. The current fed funds rate stands at 4.25% to 4.50% after the 25-basis-point cut in March, and OIS markets currently price no change at the late July meeting.

For investors, the task force points at a channel that gets far less attention than the AI earnings story: AI as a rates story. Most portfolios treat AI as a company-by-company earnings opportunity. The second channel — AI's potential to reshape the Fed's reaction function — reaches every asset discounted against the policy rate. If the Fed decides AI lets the economy grow without stoking inflation, rates sit lower than the old playbook allowed, and every valuation in the market gets measured against that lower bar.

This article is for informational purposes only and does not constitute investment advice.