San Francisco Federal Reserve President Mary Daly said the rapid buildout of artificial intelligence infrastructure could help extend an energy shock that is already complicating the inflation outlook, underscoring how the technology boom is now intersecting with monetary policy in a more direct way. Daly's comments suggest the Fed is watching not only the pace of economic growth, but also the second-order effects of AI-related investment on electricity demand, industrial costs and broader price pressures.
AI Meets Energy Costs
Daly's warning lands at a moment when markets have been trying to reconcile two competing narratives: a resilient U.S. economy that can absorb higher borrowing costs, and a disinflation process that still appears vulnerable to new shocks. The AI investment cycle has become one of the most powerful forces in equities, driving spending on data centers, chips, networking equipment and power infrastructure. But that same investment wave is also raising electricity consumption and straining grids in some regions, which can feed through to utility bills, construction costs and the price of running large-scale digital infrastructure.
For the Fed, that matters because energy shocks are among the most difficult inflation impulses to offset with interest rates. If AI demand keeps power usage elevated for longer, it could delay the kind of broad-based cooling in prices that policymakers need to see before declaring victory over inflation. Daly's framing implies that the central bank may have to distinguish between temporary volatility and more persistent cost pressures that could keep headline inflation sticky.
Policy Still Data-Dependent
Daly also indicated that the need for additional rate hikes would depend on how these shocks evolve, reinforcing the Fed's familiar data-dependent stance. That message is important for investors who have been trying to gauge whether the current policy rate is high enough to slow demand without tipping the economy into recession. If inflation remains supported by energy, tariffs or other supply-side disturbances, the Fed may be forced to keep rates restrictive for longer than markets currently expect.
The challenge is that AI-related capital spending can be both growth-supportive and inflationary. On one hand, it boosts productivity hopes and corporate earnings prospects, especially for semiconductor makers, cloud providers and utilities tied to the buildout. On the other, it can intensify demand for power, land, labor and specialized equipment, all of which can keep costs elevated even if consumer demand softens. That combination makes the current cycle unusually difficult for central bankers to interpret.
Daly's remarks also align with a broader concern among policymakers that the inflation fight is not over simply because the most acute post-pandemic price spikes have faded. New shocks, whether from geopolitics, trade policy or technology-driven infrastructure demand, can reintroduce pressure into the system. In that sense, AI is no longer just a market story or a corporate earnings story; it is becoming part of the macroeconomic transmission mechanism the Fed must manage.
Markets Watch The Fed
Equity investors have largely treated AI as a secular growth theme, rewarding companies exposed to the buildout even as higher rates weigh on more traditional sectors. But Daly's comments are a reminder that the Fed may not view the boom purely through the lens of innovation. If the investment surge contributes to sustained energy inflation, it could keep real yields elevated and limit the scope for multiple expansion in rate-sensitive parts of the market.
That would be especially relevant for utilities, industrials and data-center-linked infrastructure names, where demand expectations are already being repriced around AI capacity needs. It also raises the stakes for earnings season, as companies may be pressed to explain how power costs, supply constraints and financing conditions are affecting their expansion plans.
For now, Daly's message is less about an imminent policy pivot than about the persistence of shocks. The Fed can tolerate growth, and it can tolerate some volatility, but it cannot easily ignore a world in which AI-driven demand helps keep an energy shock alive. That makes the inflation path more uncertain and the rate outlook more conditional, leaving markets to price a central bank that remains alert to new sources of price pressure even as the technology boom accelerates.