Amazon to Cut Around 30,000 Corporate Jobs Starting Tuesday: Report

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Amazon to Lay Off 30,000 Corporate Employees in Major Cost-Cutting Move

New Delhi: E-commerce giant Amazon is reportedly set to lay off around 30,000 corporate employees starting Tuesday, in what could be one of the largest workforce reductions in the company’s history. The layoffs are expected to affect multiple divisions as part of a broader effort to trim costs and address over-hiring during the pandemic-driven boom.

While Amazon has not issued an official statement, reports suggest that employees will begin receiving layoff notices via email starting Tuesday morning (US time), according to Reuters.

Amazon currently employs more than 1.54 million people worldwide, including warehouse and logistics workers. Since 2022, the company has already cut over 27,000 jobs through smaller rounds of layoffs impacting its cloud, retail, and device units.

The latest job cuts are expected to hit several major departments — including Amazon Web Services (AWS), People Experience and Technology (HR), and the Devices and Services division.

This move follows a Fortune report that Amazon plans to reduce up to 15% of its human resources workforce, with additional cuts anticipated across other divisions.

The layoffs are part of CEO Andy Jassy’s ongoing cost-optimization strategy, aimed at “removing layers and flattening organizations” to make Amazon more agile and efficient.

According to Layoffs.fyi, this would mark the largest single round of layoffs in the tech sector since the tracker began recording industry data in 2020.

So far in 2025, over 200 tech firms have laid off nearly 98,000 employees, including major players such as Microsoft, Meta, Google, Intel, and Salesforce. Microsoft alone has cut 15,000 roles, Meta recently laid off 600 staff in its AI division, Google reduced over 100 design jobs in its cloud unit, and Intel leads the year with 22,000 layoffs.

The widespread cuts across the tech industry underscore a shift toward leaner operations and increased AI-driven efficiencies.

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