WASHINGTON – Consumers are right to sense the pinch of rising costs, and Federal Reserve Chair Jerome Powell acknowledged Wednesday that the surge in demand for data centers powering artificial intelligence is, in the short term, contributing to inflation. The comments mark a shift in the conversation around AI’s economic impact, pushing back against the idea that productivity gains from the technology should be immediately translating into lower prices. The core issue, Powell explained, is that building the infrastructure to support AI – the data centers themselves – is driving up demand and costs for a range of goods, and services.
“In the short term, what’s happening is we’re building data centers everywhere, and that’s actually putting pressure on all kinds of goods and services that go into building these things,” Powell said during a press conference following the Fed’s decision to hold interest rates steady. “So that’s actually probably pushing inflation up.” This acknowledgment comes as policymakers grapple with understanding the complex economic effects of the rapid advancement of AI, and how to balance potential long-term benefits with immediate inflationary pressures. The discussion around AI’s impact on GDP growth has been ongoing, but Powell’s latest remarks highlight a more nuanced picture.
The Demand Side is Driving Costs
Powell’s assessment challenges the conventional wisdom that AI-driven productivity should inherently lead to lower inflation. He argued that the current situation is different, with the massive physical buildout required for AI – the demand side of the equation – outpacing any immediate productivity benefits. So that the demand for resources like electricity, land, and specialized hardware is increasing faster than the supply of goods and services AI is theoretically enabling us to produce more efficiently. He suggested that AI may even raise the neutral interest rate in the near term, rather than lowering it.
“In the near term, you’re not looking at something that would immediately call for lower rates, or that would be lowering inflation,” Powell stated. He emphasized that the disinflationary benefits of AI remain largely theoretical at this point, and that the Fed is closely monitoring the situation. This cautious approach reflects the uncertainty surrounding the long-term economic consequences of AI, and the need to avoid premature policy adjustments.
Electricity Bills and the Strain on the Grid
The impact of the data center boom is already being felt by consumers, particularly through rising electricity bills. Goldman Sachs warned last month that consumer electricity prices could jump 6% between 2026 and 2027, largely due to the increased strain on the power grid from data centers. Utilities requested a record $31 billion in rate increases in 2025 – more than double the previous year – with lower-income households disproportionately bearing the burden of these costs.
The problem isn’t simply increased demand, but also the capacity of the existing infrastructure to handle it. A recent report from Wood Mackenzie found that data center development is actually slowing, not given that of waning interest, but because the power grid is struggling to preserve up. According to the report, only about a third of planned data center projects are currently under active development, and many may never be completed due to limitations in power availability.
Productivity Gains and the “Empirical Question”
Despite the short-term inflationary pressures, Powell acknowledged that the Fed has been observing “meaningfully higher productivity” for several years, and expects this trend to continue. He expressed some surprise at the sustained level of productivity growth, stating, “I never thought I’d see this many years of really high productivity.” However, he cautioned that the full effects of generative AI are yet to be seen.
“We haven’t really started to see the effects of generative AI,” Powell said. “And that should certainly contribute. But it’s an empirical question — is demand growing faster or slower than the supply side?” He repeatedly emphasized that the Fed’s understanding of the situation is incomplete, stating, “We just don’t know.” This uncertainty underscores the challenges facing policymakers as they navigate the evolving economic landscape shaped by AI. The question of whether AI will ultimately be a force for deflation or inflation remains open, and will depend on how quickly productivity gains can offset the costs of building and powering the necessary infrastructure.
Disclaimer: This article provides information for general knowledge and informational purposes only, and does not constitute financial advice.
The Federal Reserve will continue to monitor economic data closely, with the next policy meeting scheduled for [Date to be determined]. Updates on inflation and economic growth will be released regularly by the Bureau of Economic Analysis and the Bureau of Labor Statistics. Readers are encouraged to share their thoughts and experiences in the comments below.
