Fed’s Barr says AI’s economic payoff hinges on competition versus concentration

Federal Reserve Governor Michael Barr has framed artificial intelligence's economic impact as dependent on whether the technology increases market concentration or competition. According to Barr, AI represents a fork in the road with potentially divergent outcomes for the economy.

Down one path, the gains would pool among a handful of dominant firms, which Barr terms 'hyperscalers' – massive tech companies with the cloud capacity and capital to train and run AI at enormous scale. The alternative path would see benefits spreading more widely across the economy as smaller companies adopt the tools, compete harder, and pass gains to customers and workers.

Adoption gap

Barr has pointed to data showing the concentration question is already relevant. As of 2024, about 75% of large companies were using generative AI, while smaller businesses showed adoption rates in the high single digits. This gap suggests early benefits may be accruing primarily to larger enterprises.

Barr has framed AI's effects as a spectrum ranging from mild augmentation of individual tasks to revolutionary disruption of entire industries, with the speed of adoption and productivity gains determining where the economy lands.

Infrastructure impact

Barr has highlighted the physical infrastructure requirements of AI, pointing to an expected surge in data center investment estimated at around $3 trillion. While this spending could lift productivity over time, it may also create localized inflationary pressure in sectors like electricity and construction.

Market risks

In a November 11, 2025 address at the Singapore Fintech Festival, Barr warned about AI's potential to transform economies while highlighting financial market risks. These include AI-powered trading algorithms that could lead to tacit collusion and heightened volatility, as well as market herding if firms rely on similar models trained on similar data.

Barr has also flagged bias in lending as a concern, noting that AI models used to approve loans could inadvertently disadvantage certain borrowers. Through all these considerations, he has stressed the need for regulation that manages risks without stifling innovation.