Meta planning sweeping layoffs as AI infrastructure costs rise

Meta Platforms is reportedly planning sweeping layoffs that could affect as much as 20% or more of its workforce as the company seeks to offset costly artificial intelligence infrastructure bets and prepare for efficiencies tied to AI-assisted workers, according to Reuters sources. No date or final scope has been set for the cuts.

Three people familiar with the matter told Reuters that management is weighing large-scale reductions to balance the rising capital and operating costs of AI data centers against expected productivity gains from automated and AI-augmented workflows. A Meta spokesperson characterized the reporting as speculative; regulatory filings from early 2025 show headcount near 76,800, with later company disclosures cited at roughly 79,000.

The plan dovetails with previously disclosed investment ambitions: Meta has outlined multi-year plans for massive AI-focused data center spending in the United States, commitments that elevate capital expenditure forecasts and put short-term pressure on margins. Those infrastructure bets are central to the company’s strategy to support larger generative models and inference workloads.

Meta's potential new round of cuts follows earlier workforce reductions and unit-level reorganizations aimed at trimming costs and reallocating resources toward priority areas. Across the sector, technology firms have combined aggressive talent acquisition for AI roles with selective layoffs elsewhere, creating a pattern of simultaneous upskilling and headcount optimization. Investors and competitors will watch how Meta balances these competing priorities.

Market observers say the move would be intended to preserve long-term competitiveness while improving near-term financial metrics, but they caution about execution risk: cutting at scale can deliver cost savings quickly, yet may undermine product timelines and institutional knowledge critical for AI development. The coming weeks should clarify which divisions and geographies are targeted and how Meta intends to reallocate the savings to its AI roadmap.