After a new round of high-profile job cuts, companies from Amazon to UPS are citing artificial intelligence as a factor in workforce reductions—though economists caution against drawing sweeping conclusions. Amazon plans to trim roughly 14,000 corporate roles to run “more leanly” and capitalize on AI, even as sales rose 13% to $167.7 billion last quarter. Chegg and Salesforce have also tied reductions to AI tools and agents, while UPS has linked some redundancies to machine learning. Researchers say the data are mixed: a St. Louis Fed analysis found higher unemployment in occupations more exposed to AI since 2022, and University of Pittsburgh’s Morgan Frank saw a post-ChatGPT rise in jobless claims among office and administrative workers, but not in computer and math roles. Analysts note pandemic-era overhiring and higher interest rates are also pushing firms to reset. The near-term picture looks like a classic cycle—hire fast, then tighten—while the longer-term question is how quickly AI reshapes roles and reallocates work rather than eliminating jobs outright.
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