Meta ties layoffs to AI overhaul, shifts 7,000 workers into new roles

Meta linked its latest round of layoffs directly to a broader redesign around artificial intelligence, telling employees that 7,000 people would be moved into new AI-workflow initiatives while managerial roles were cut and teams were pushed into smaller pods and cohorts.

Chief People Officer Janelle Gale laid out the changes in a memo that described an overhaul meant to make Meta’s organization flatter and more tightly aligned with machine-learning tools. The company also closed 6,000 open roles, signaling that the shift was not just about trimming payroll but about redefining which jobs still mattered inside the Menlo Park company.

Meta planned to start laying off about 8,000 workers, or roughly 10% of its staff, on Wednesday, and told North American employees to work from home that day as the restructuring moved through the company quickly. Taken together, the layoffs and transfers would affect roughly 20% of Meta’s workforce, underscoring how deeply the company was rewiring its internal labor model around AI.

The cuts come as Meta continues to invest heavily in AI agents and automation systems designed to take on work once done by human staff. The memo said many leaders would announce their own organizational changes, and it framed the redesign around AI-native design principles, a sign that the company’s product strategy and reporting structure are being pulled toward the same objective.

At the end of March, Meta reported 77,986 employees. The current restructuring is the company’s largest reset since its “Year of Efficiency” campaign in 2023, when Mark Zuckerberg cut more than 11,000 jobs in November 2022 and then ordered 10,000 more layoffs in March 2023. Since then, Meta has repeatedly pared back teams across Reality Labs, recruiting, sales, Facebook, Instagram and WhatsApp in 2024 and 2026.

For workers, the message is stark: the company is no longer just asking how to add AI to its products, but how to reorganize people around it. That leaves managers, open requisitions and teams built for older workflows more vulnerable, while the jobs most protected are those that fit Meta’s push toward automation, smaller staffing layers and a more AI-centered future.