Amazon announced last week that it is cutting 16,000 corporate jobs, citing “efficiency gains” from artificial intelligence (AI), though economists caution that the link between AI adoption and layoffs remains uncertain. The job cuts also include about 5,000 retail positions at Amazon’s on-location stores in the United States.
The move is part of a broader reduction of staff at the e-commerce giant. Last October, the company laid off 14,000 employees as it signaled a push toward AI-driven organizational changes. Analysts say Amazon may also be scaling back from the surge in hiring during the COVID-19 pandemic. “So you could potentially have just been bloated in the first place, reduce head count, attribute it to AI, and now you’ve got a value story,” said Karan Girotra, a professor of management at Cornell University’s business school.
Amazon CEO Andy Jassy has framed AI as a tool to increase productivity, urging employees to learn and experiment with the technology. In June, Jassy encouraged teams to “be curious about AI, educate yourself, attend workshops and take trainings, use and experiment with AI whenever you can, participate in your team’s brainstorms to figure out how to invent for our customers more quickly and expansively, and how to get more done with scrappier teams.”
Despite Amazon’s messaging, economists say it is difficult to determine whether AI is the primary reason for the layoffs. “We just don’t know,” Girotra said. He noted that integrating AI into a company requires time, adjustment of workflows, and changes to management structures, with most efficiency gains often benefiting individual employees rather than the organization. If AI is contributing to job reductions, middle management roles are likely the first to be affected, as companies look to cut costs.
A January report from Goldman Sachs tracking AI adoption in the US labor market found that very few employees had been affected by layoffs attributed to AI as of December 2025. The report noted that AI’s overall impact remains limited, though some industries may see changes in roles where AI can perform key tasks, such as writing emails, marketing materials, generating synthetic images, answering questions, or assisting with coding.
Girotra said that the pace of adoption matters. “It requires a lot of adjustment and most of the gains accrue to individual employees rather than to the organization,” he explained. Companies need time to reorganize and understand how AI will reshape workflows before it significantly affects staffing levels.
Amazon’s latest round of layoffs highlights the tension between the promise of AI-driven efficiency and the realities of workforce management. For now, the e-commerce giant is continuing to promote AI as a way to boost productivity while reducing overhead, even as economists urge caution in linking technology directly to job cuts.
