
Meta plans to cut up to 20 percent of its 78,865 employees, a reduction that would eliminate more than 15,000 jobs and rank as the company's largest layoff since its 2023 "year of efficiency" purge, according to Reuters. The cuts are designed to offset the massive cost of Meta's AI infrastructure buildout.
The scope has also expanded. Previous layoffs targeted specific divisions like Reality Labs, Meta's virtual reality and metaverse unit.
The current plans appear far more sweeping, touching teams across the organization. A Meta spokesperson told The Verge that the reports were "speculative reporting about theoretical approaches." The underlying pressure to cut costs and redirect resources to AI, however, is not theoretical.
But here is what most coverage misses. Meta is not just cutting costs.It is replacing human workers with AI-assisted workflows, betting that fewer employees with better tools will produce more output. If that bet pays off, it reshapes how every large tech company thinks about headcount, according to The Guardian.
Meta is planning layoffs, potentially impacting up to 20% of its workforce, to cut costs associated with its massive investments in AI infrastructure. The company is shifting its strategic focus and reallocating resources to AI development, requiring significant trade-offs in other areas.
Meta's layoffs could affect over 15,000 employees. As of December 31, 2025, Meta had a headcount of 78,865, and a 20% reduction would significantly reduce the company's workforce.
Meta's layoffs are part of a broader strategy to double down on AI and offset the expenses of building AI infrastructure. The company is recalibrating its workforce to align with its new core priorities, even if it means scaling back in other areas like Reality Labs.
Yes, Meta had significant layoffs in late 2022 and early 2023, impacting over 22,000 workers. CEO Mark Zuckerberg dubbed this period the 'year of efficiency,' and the current cuts signal that this efficiency drive is ongoing.
Meta's investment in AI includes acquiring AI talent, building expansive data centers, and acquiring AI startups. For example, Meta has acquired companies like Moltbook, a social network for AI agents, and Manus, which focuses on task automation through AI agents.
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