Amazon announces 16,000 job cuts worldwide after message to staff leaked in error
Amazon told employees it will eliminate 16,000 positions globally, a second major round of reductions after layoffs announced three months earlier, as the company says it is streamlining layers and speeding decision-making.

Amazon has informed employees it will cut 16,000 jobs worldwide, describing the move as an effort to streamline operations by reducing layers, increasing ownership and removing bureaucracy. The announcement follows an apparent internal communications mishap in which staff at Amazon Web Services received a meeting invitation that included draft language about layoffs before it was canceled.

The reduction is the company’s second large wave of job cuts within a few months, coming after Amazon previously announced the elimination of thousands of roles in late 2025. Amazon is one of the world’s largest employers, and even reductions concentrated among corporate roles can ripple through teams, suppliers and local job markets where Amazon maintains major hubs.
In internal messaging, Amazon framed the changes as part of a broader restructuring meant to help the company move faster. Management has been pushing to simplify reporting lines and decision-making, and executives have repeatedly warned that automation and modern AI systems will reshape the nature of many white-collar jobs.
Reports indicate the largest share of the job cuts is expected to fall in the United States, though some roles in other countries may also be affected. Employees who are impacted may be given time to pursue other roles inside the company, depending on location and local rules, while Amazon continues hiring in select strategic areas.
The layoffs land amid a wider corporate shift across the tech sector, where executives are trying to balance heavy investment in AI and cloud infrastructure with demands for efficiency and profitability. Investors and workers alike are watching whether large companies treat these reductions as a one-off adjustment or as part of a longer pattern of leaner staffing models.