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Reading: Meta Considers Layoffs Affecting 20% of Workforce Amid AI Investment
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Finance

Meta Considers Layoffs Affecting 20% of Workforce Amid AI Investment

News Desk
Last updated: March 14, 2026 10:33 am
News Desk
Published: March 14, 2026
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Meta Platforms Inc. is reportedly evaluating a significant reduction in its workforce, with potential layoffs affecting up to 20% of its employees. This strategic move comes as the tech giant seeks to manage rising costs associated with its investments in artificial intelligence. According to sources familiar with the matter, the company is preparing for the efficiency gains promised by AI-assisted roles, which have been cited as a driving force behind the potential job cuts.

While the specifics regarding the timing and extent of these layoffs remain undetermined, senior executives at Meta have reportedly discussed these plans within the company. A spokesperson for Meta described the reports as speculative, emphasizing that discussions about theoretical approaches are ongoing.

If the layoffs proceed as anticipated, they would represent the largest restructuring since the company made substantial cuts in late 2022 and early 2023. Last November, Meta laid off approximately 11,000 employees, equating to about 13% of its workforce at that time, and followed up with an additional reduction of around 10,000 jobs a few months later.

As of the end of 2022, Meta employed nearly 79,000 individuals. The potential upheaval reflects a broader trend within the tech industry, where other major companies, including Amazon, have also implemented large-scale layoffs amid increasing advances in artificial intelligence. In January, Amazon cut about 16,000 positions and indicated that further layoffs could be on the horizon, attributing these reductions to efficiency improvements from AI and a shifting corporate culture.

As companies navigate the evolving landscape shaped by AI technologies, the implications of potential layoffs highlight the ongoing changes and challenges faced by the tech sector in adapting to new efficiencies and operational structures.

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