Amazon to cut 30,000 corporate jobs in AI-driven restructuring

Amazon to cut 30,000 corporate jobs in AI-driven restructuring
Amazon to cut 30,000 corporate jobs in AI-driven restructuring

Amazon to cut 30,000 corporate jobs in AI-driven restructuring

Tech giant Amazon is set to embark on what could be its largest-ever round of corporate layoffs, with sources indicating plans to cut up to 30,000 white-collar jobs across its global operations.

The reductions would affect nearly 10 percent of Amazon’s ~350,000 corporate employees, although they represent only a fraction of the company’s total workforce of approximately 1.55 million. The job cuts are scheduled to begin as early as Tuesday, 28 October 2025, according to multiple media reports.

The rationale behind this massive restructuring is multifaceted. First, Amazon is seeking to correct what it describes as “over-hiring” during the pandemic-era surge in e-commerce demand. Second, the company’s leadership under CEO Andy Jassy is focused on streamlining operations, reducing layers of management, and removing internal bureaucracy. Third, and perhaps most significantly, Amazon acknowledges that the rise of artificial intelligence (AI) and automation will reduce the need for certain corporate roles. Jassy has already told employees that AI will lead to fewer people doing some of the jobs that are currently being done today.

The cuts are expected to impact several divisions, including human resources (known internally as People Experience & Technology, or PXT), devices & services, operations, and possibly the cloud business unit Amazon Web Services (AWS). Meanwhile, despite the cuts on the corporate side, Amazon plans to hire 250,000 seasonal workers to meet the upcoming holiday-season demand, reflecting a shift in workforce strategy from corporate to frontline roles.

This development comes amid a broader trend across the tech sector, where companies are cutting jobs and reconfiguring talent as they transition from rapid growth mode to sustained profitability and automation-driven operations.

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