Meta's AI Shift: 8,000 Jobs Cut

Meta job cuts of about 8,000 roles were announced Thursday as the company restructures around AI investment and leaves thousands of openings unfilled.

Jason Kwon ·

Meta's AI Shift: 8,000 Jobs Cut

Meta Platforms Inc. said on Thursday it will cut about 8,000 jobs, a reduction the company described as roughly 10% of its workforce, as it restructures while increasing investment in artificial intelligence (AI). The company also said it will leave thousands of open roles unfilled, widening the scope of the workforce pullback beyond the announced layoffs.

The announcement comes alongside Meta’s projected AI spending of $135 billion this year. The company said that figure is equivalent to what it spent on AI over the previous three years combined, underscoring how sharply its capital and operating priorities have shifted toward AI development and deployment.

Meta described the move as its largest round of job cuts since 2023. The decision also aligns with a broader pattern across major technology companies that have cited AI investment needs and changing operating requirements while reducing headcount.

Several large firms have reported layoffs this year. Amazon has laid off over 30,000 workers, Oracle more than 10,000, Block nearly 4,000, and Snap around 1,000, according to the figures cited alongside Meta’s announcement. On Thursday, Microsoft also offered voluntary buyouts to long-tenured employees.

Meta’s leadership has previously linked AI adoption to changes in how work is organized. Meta CEO Mark Zuckerberg said in January that AI tools were improving employee productivity, allowing smaller teams to deliver projects that previously required larger groups.

Separately, Meta recently told employees it would begin tracking interactions with work computers to train and improve its AI models. That internal notice coincided with the newly announced layoffs, placing workplace data practices and workforce strategy in the same time frame.

For markets, the announcement adds to a growing set of signals that large technology companies are reallocating resources toward AI while tightening staffing and hiring plans. For policymakers and regulators globally, Meta’s plan to track work-computer interactions for AI training may draw attention to how employee data is handled inside major multinational firms, particularly as AI development accelerates across jurisdictions with different privacy and labor frameworks.

Key unknowns include how quickly the cuts will be implemented, which teams will be most affected, and how the decision not to fill thousands of open roles will change Meta’s hiring outlook. Meta did not provide additional details in the announcement beyond the scale of the reduction, the hiring pause for open positions, and the AI investment figures.

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