Meta Platforms is reportedly considering layoffs that could affect up to 20% of its workforce as the company increases spending on artificial intelligence and the infrastructure needed to train AI models, raising the possibility of one of the largest Meta layoffs in recent years.
According to Reuters and other reports, Meta has discussed workforce reduction scenarios as it weighs the rising costs of data centers, cloud computing, and new AI systems. If such a plan were implemented, it could affect roughly 15,000 to 16,000 employees based on Meta’s nearly 79,000-person workforce.
Meta layoffs come as AI spending continues to rise
Meta has been expanding its artificial intelligence efforts in recent years, with a growing focus on large-scale data centers and the computing capacity required to train advanced models.
One analyst estimate cited in reports suggests Meta’s AI-related capital expenditures could reach about $135 billion by 2026, nearly double the level seen a year earlier.
That spending is expected to support several areas, including:
- new data center construction;
- GPU clusters and cloud computing resources;
- hiring AI researchers and engineers;
- development of proprietary AI models and services.
Reports also say the company has signed major cloud computing agreements and continued investing in AI startups as it looks to speed up development.
Reports point to model delays
Meta has not officially announced any layoffs, but the reported discussions come as the company faces pressure to show results from its growing AI investments.
According to recent reports, an internal model codenamed Avocado has faced development delays and delivered weaker-than-expected results in internal testing.
Those reported setbacks have added to questions about spending priorities and the pace of Meta’s AI rollout.
Analysts see possible cost savings
Analysts say workforce reductions could materially lower costs if Meta were to move ahead with such a plan.
Rosenblatt Securities estimates that cutting around 20% of staff could save Meta roughly $5 billion to $6 billion per year and increase operating profit by about 5%.
Meta’s shares rose following the report, suggesting investors may have viewed potential cost reductions as supportive of the company’s AI spending plans.
Part of a broader tech pattern
The reported situation at Meta reflects a wider pattern across the technology sector, where companies are increasing AI investment while also rethinking headcount.
Some analysts argue that AI tools could allow companies to handle some functions with fewer employees. Others say the AI narrative can also serve as a justification for workforce reductions after aggressive hiring in earlier growth periods.
In Meta’s case, the reported layoff scenarios underline how strongly AI investment is influencing strategic decisions.
What happens next
Meta has not officially confirmed plans for large-scale layoffs, and the scenarios described in reports remain unconfirmed.
Still, the discussions have drawn attention because they could mark one of Meta’s biggest restructurings since its “year of efficiency” period in 2022 and 2023.
If implemented, the cuts would stand as a major example of how the race to build AI infrastructure is reshaping priorities inside large technology companies.
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