Amazon Plans To Lay Off 30,000 Corporate Employees: Report

Last Updated:October 28, 2025, 02:45 IST

Amazon plans to lay off 30,000 corporate employees, nearly 10% of its corporate workforce, citing expense reduction and AI-driven productivity gains, Reuters reports.

The decision is line with Amazon company's move to reduce expenses and compensate for overhiring during the peak demand of the pandemic. (File Photo)

Amazon is planning to lay off as many as 30,000 corporate employees from Tuesday.

Reuters quoted sources as saying that the decision is line with company’s move to reduce expenses and compensate for overhiring during the peak demand of the pandemic.

While this layoff would be the largest job cut at Amazon since around 27,000 jobs were eliminated starting in late 2022, laying of 30,000 will represent a small percentage of Amazon’s 1.55 million total employees but nearly 10% of the company’s roughly 350,000 corporate employees.

According to Reuters, Amazon has been trimming smaller numbers of jobs over the past two years across multiple divisions, including devices, communications, podcasting and others.

The recent job cuts will affect various divisions, including human resources, known as People Experience and Technology, devices and services and operations, among others.

Reuters quoted the sources as saying that managers of impacted teams were asked to undergo training on Monday for how to communicate with staff following email notifications that will start going out on Tuesday morning.

Previously, Amazon CEO Andy Jassy had announced his decision to reduce an excess of bureaucracy at the company, including by reducing the number of managers.

In June, he said the increased use of artificial intelligence would likely case further job cuts.

“This latest move signals that Amazon is likely realizing enough AI-driven productivity gains within corporate teams to support a substantial reduction in force," said Sky Canaves, an eMarketer analyst. “Amazon has also been under pressure in the short-term to offset the long-term investments in building out its AI infrastructure."

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