Meta is reportedly planning sweeping layoffs that could impact 20% or more of its workforce, as the company grapples with mounting costs from massive artificial intelligence investments.
According to sources familiar with the matter, this move aims to offset heavy spending on AI infrastructure while positioning the firm to leverage efficiency gains from AI tools that enable smaller teams to handle complex projects.
Massive Scale Potential Amid AI Push If the layoffs reach the 20% threshold, they would affect approximately 15,800 employees, based on Meta’s workforce of nearly 79,000 as of late last year. This would mark the company’s most significant workforce reduction since the major restructuring in late 2022 and early 2023, often called the “year of efficiency.”
No final decision has been made on the exact percentage or timing, with plans still in early stages. Top executives have signaled the possibility to senior leaders, instructing them to prepare for reductions.
Reasons Tied to AI Investments and Efficiency The primary drivers include skyrocketing expenses for AI development, such as a planned $600 billion investment in data centers by 2028.
Meta has also pursued aggressive talent acquisition, offering multimillion-dollar packages to top AI researchers for its superintelligence team, alongside acquisitions like a Chinese AI startup for at least $2 billion and recent purchases of AI-focused platforms.
CEO Mark Zuckerberg has previously noted that AI advancements allow “projects that used to require big teams now be accomplished by a single very talented person,” highlighting expected productivity boosts.
Broader Context and Company Response Meta has faced setbacks in its AI efforts, including delays with models like Llama 4 and the new “Avocado” initiative. The potential cuts follow earlier reductions, such as those in the Reality Labs division earlier in 2026, as the company shifts focus from metaverse ambitions to AI priorities.
A Meta spokesperson described reports as “speculative reporting about theoretical approaches.” This trend aligns with actions at other tech firms, where AI-driven efficiencies are prompting workforce adjustments to balance innovation costs.
The announcement has sparked discussions about the dual impact of AI—accelerating capabilities while reshaping employment in the tech sector.