Meta Platforms Inc. is laying off approximately 8,000 employees, constituting about 10% of its workforce, and canceling 6,000 open roles. This significant efficiency drive aims to offset substantial investments in artificial intelligence.
The reductions, effective May 20, were disclosed internally by Meta Chief People Officer Janelle Gale. The move is intended to enable the company to operate more efficiently and accommodate other ongoing investments.
This headcount reduction marks Meta's largest since the extensive layoffs of 21,000+ employees in 2022 and 2023, a period previously branded by CEO Mark Zuckerberg as a "year of efficiency."
Meta's capital expenditure guidance for 2026 projects up to $135 billion, nearly doubling 2025's $72 billion. These funds are primarily allocated for data centers, custom silicon, and other AI infrastructure, as Meta continues to compete in the generative AI space against rivals like OpenAI and Google.
The layoffs are structural, involving a reorganization of remaining teams into AI-focused "pods." Engineers are being reassigned across the business to Meta's Applied AI organization.
U.S. employees impacted by the cuts will receive 16 weeks of base pay, plus two additional weeks per year of service, and 18 months of health coverage.
CEO Mark Zuckerberg previously highlighted the shift, noting that AI is enabling single individuals to accomplish tasks that once required large teams. Meta is actively deploying internal tools powered by its Llama models for code writing, marketing content generation, and customer support.
The market has reacted positively to the announcement, with analysts viewing the strategy as a means to automate tasks, streamline operations, reduce costs, and maintain productivity through a leaner structure.
This is Meta's third round of job cuts in 2026. Earlier in the year, approximately 1,500 Reality Labs staff were laid off in January, followed by an additional 700 staff cuts in March across various divisions including Reality Labs, Facebook, and global operations. This trend reflects a broader tech industry movement as AI continues to mature, leading to significant job reductions across major companies.