AI Could Leave White-Collar Workers Stranded in a Jobless Recovery

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A growing number of economists are warning that the next U.S. recession could produce a very different kind of recovery—one in which white-collar, knowledge-based workers struggle to regain employment. The shift is being driven by rapid advances in artificial intelligence, which are increasingly capable of performing tasks once reserved for skilled professionals.


Traditionally, white-collar workers have been among the first to bounce back after downturns. But with AI now able to draft reports, analyze data, and even handle complex decision-making, companies may see less need to rehire certain office staff once economic conditions improve.
This trend represents a major departure from past cycles, where automation primarily threatened lower-wage, routine jobs.

Experts say AI’s reach into higher-paying roles could slow the pace of job creation after the next recession, potentially leading to a “jobless recovery” in which economic growth resumes but employment remains weak.


Industries likely to feel the impact first include finance, law, marketing, and parts of tech—sectors where AI tools are already proving cost-effective and efficient. While some displaced workers may transition into new roles that emerge from AI adoption, the adjustment period could be long and challenging.


Economists suggest that workers and policymakers alike should prepare now, investing in retraining, upskilling, and policies that support career transitions, to avoid leaving large swaths of the white-collar workforce sidelined in the years ahead.

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