• Federal Reserve Chair Jerome Powell signals that AI is set to displace a significant number of jobs, particularly entry-level and routine positions.
  • The central bank chief acknowledges limited tools to counter the tech-driven disruption, pointing to the need for Congressional action.
  • Early signs of a cooling job market for recent graduates highlight the immediate economic pressures.

Federal Reserve Chair Jerome Powell delivered a sobering assessment of artificial intelligence’s impact on the U.S. labor market, confirming that the technology is likely to phase out certain jobs and that the effects are already beginning to surface.

Speaking amid growing economic uncertainty, Powell stated that while the full impact is not yet "great," rapid advances suggest more pronounced changes within a few years. He specifically highlighted the vulnerability of roles involving routine, repetitive tasks, such as administrative support and data entry. "Some jobs are going to be phased out," Powell said, pointing to expert warnings that up to 50% of entry-level white-collar positions could be threatened by automation in the next five years.

The remarks, which align with recent comments from tech leaders like Anthropic CEO Dario Amodei, mark a significant acknowledgment from the nation's top monetary policymaker that technological disruption is becoming a tangible economic force. Powell emphasized that the Federal Reserve’s traditional levers, like interest rate adjustments, are ill-suited to address this structural shift. Handling the social and economic fallout, he indicated, will require a coordinated response from Congress and industry stakeholders to mitigate rising inequality and a widening skills gap.

Early signs of strain are appearing in the job market for recent college graduates, where hiring has cooled noticeably. This has intensified debates on Capitol Hill about the need for retraining initiatives and potential updates to the social safety net. Powell’s intervention suggests that policymakers are grappling with the possibility that this transition could be faster and more disruptive than previous technological revolutions, leaving less time for workers and the economy to adapt.