Federal Reserve's Lisa Cook Warns AI Spending Could Drive Inflation into 2027

In a recent speech at Oakland Tech Week, Federal Reserve Governor Lisa Cook highlighted concerns regarding the inflationary impact of artificial intelligence (AI) spending. She noted that while AI is expected to enhance productivity, the significant capital investments in AI infrastructure could initially lead to increased costs, particularly in sectors like utilities and construction.

Cook pointed out that companies have announced approximately $2 trillion in AI-related investments, primarily aimed at developing data centers, but only a small fraction of this amount has been spent. She emphasized that rising costs associated with infrastructure buildout, including electricity, are already contributing to inflationary pressures.

Looking ahead, Cook indicated that these pressures could become a central concern for the Federal Reserve as it navigates monetary policy through late 2026 and into 2027. She identified ongoing supply chain bottlenecks and uncertainty regarding when productivity gains from AI will materialize as key factors influencing inflation.

Importantly, Cook clarified that the Federal Reserve should not attempt to target inflation in specific sectors, as its monetary policy tools are not designed for such precision. Instead, the broader implications of AI-related cost increases on overall inflation will be crucial to monitor in the coming years.