The US Federal Reserve has set up a dedicated task force to study how artificial intelligence could reshape the American economy and guide future monetary policy, with a report expected before the end of 2026, Fed Chair Kevin Warsh confirmed on 17 September 2026. The announcement places the central bank among the first major global monetary authorities to formally institutionalise AI scrutiny within its policy framework.

What Warsh Said

Speaking at a news conference following the Federal Open Market Committee (FOMC) meeting, Warsh said the Fed was examining AI's effects on both the demand and supply sides of the US economy. He framed the task force as a direct response to the technology's growing footprint in economic activity.

'I care so much, I think it's so important, that we established a task force that should report by the end of the year to help us think about the implications for our future policy conjecture,' Warsh said.

He was responding to questions about warnings from AI industry leaders regarding the risk of losing control of the technology and the potential for economic disruption. Warsh declined to directly assess those warnings, instead clarifying the Fed's boundaries: 'The policy decisions that are made about the risks and rewards, the challenges and opportunities, those are decisions made by other parts of the government.'

Rate Hike Backdrop

The AI task force announcement came alongside a significant monetary policy decision — the FOMC unanimously voted to raise its benchmark interest rate by a quarter of a percentage point, bringing it to a range of 3.75–4 per cent. Warsh described the broader US economy as resilient, citing strong domestic spending, robust productivity growth, and elevated capital investment.

He also flagged a surge in capital expenditure by large technology infrastructure operators — commonly referred to as hyperscalers — as a factor behind rising longer-term US Treasury yields. 'The surge in capital expenditures, which I referenced in my remarks, is real and the so-called hyperscalers are out in the market raising funding,' he said. He listed economic strength and geopolitical developments as two additional explanations for higher yields.

Inflation and Employment Context

The AI review arrives at a delicate moment for the Fed. Warsh acknowledged that inflation had remained above the Fed's 2 per cent target — measured by the annual change in the personal consumption expenditures (PCE) price index — for more than five years. The labour market, he said, was broadly consistent with full employment.

Asked whether AI-driven economic activity complicated the inflation fight, Warsh offered no separate assessment of the technology's direct effects. He did, however, assert that he did not believe the Fed needed to harm employment to bring inflation to target — a significant signal given ongoing market sensitivity to rate trajectory.

What Remains Unknown

Warsh provided no details on the task force's membership, the specific research questions it would pursue, or whether its findings would be made public. He offered no estimate of AI's contribution to economic growth or inflation, leaving markets and observers to await the year-end report for substantive guidance.

This comes amid a broader global conversation about AI's macroeconomic implications, with central banks and international institutions increasingly grappling with whether existing monetary frameworks are equipped to handle productivity shocks driven by transformative technology. The Fed's findings, when published, are expected to influence how other central banks — including the Reserve Bank of India (RBI) — frame their own AI-and-economy assessments.