Hassett: AI Economy Accelerating Faster Than Dot-Com Boom, Creating Labor Market 'Quiet Period'

• Kevin Hassett, a top economic adviser, argues the AI-driven economic shift is outpacing the 1990s tech boom, rapidly boosting productivity.
• This acceleration is creating a short-term 'quiet period' in hiring, particularly for new graduates, as firms leverage AI for greater output with existing staff.
• The dynamic presents policymakers with a balancing act: fostering AI-driven growth and wage gains while addressing near-term labor market dislocations and bipartisan concerns over job losses.

Kevin Hassett, who served as chair of the Council of Economic Advisers under President Donald Trump, framed the current economic moment as one of profound and rapid technological transformation. In recent remarks, he argued that the artificial intelligence economy is moving faster than the dot-com boom of the 1990s, driving strong output and real wage growth while simultaneously cooling demand for new hiring—a phenomenon he describes as a temporary "quiet period" in the labor market rather than a precursor to long-term collapse.

"We are seeing a short-lived adjustment phase where the labor market is digesting a major technology shock," Hassett suggested, according to people familiar with his comments. He linked robust U.S. GDP growth and rising purchasing power directly to AI-driven productivity gains, which are allowing companies to achieve more with their current workforce. This, he contends, explains the recent "mixed signals" where output indicators remain "really positive" even as job creation, especially for entry-level and routine roles, shows notable softening.

The comments arrive as the AI sector becomes a central plank of strategic economic and national security policy. Recent executive actions have aimed to ease regulatory barriers and accelerate the build-out of critical infrastructure like data centers. Yet, Hassett's analysis implicitly acknowledges the growing unease on Capitol Hill, where lawmakers from both parties are scrutinizing AI's potential to displace workers faster than the economy can create new roles for them. Unions and advocacy groups are increasingly vocal in debates over retraining programs, social insurance expansions, and potential safeguards.

By drawing a parallel to the 1990s, Hassett signals that this wave may be more pervasive, touching every sector that can automate cognitive tasks. The concern, as with earlier tech shocks, is that the adjustment costs—job losses and regional disruption—are front-loaded, while the broader benefits of new AI-enabled industries and consumption patterns may take longer to materialize. In the near term, central bankers are likely watching this labor market softness as a factor in future interest-rate decisions.

Efforts to reach Hassett for further comment on the policy implications were not immediately successful. Similar debates are unfolding globally, with European and Asian regulators racing to establish competitive frameworks and guardrails simultaneously, reinforcing the view that this cycle is uniquely accelerated.

Correction: An earlier version of this article misstated the timeline of Hassett's recent comments. They were made in the context of ongoing economic analysis, not a specific policy announcement.