Meta Bets on Smaller Pods and Fewer Management Layers

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Meta has started the largest companywide restructuring since its 2022–2023 "Year of Efficiency," and the new organization is meant to look noticeably flatter. The company began notifying about 8,000 employees, roughly 10% of its workforce, that they were being laid off. Meta had just under 80,000 employees at the end of March.

Alongside the cuts, Chief People Officer Janelle Gale announced that upward of 7,000 workers will move into newly created AI-focused teams, including Applied AI Engineering, Agent Transformation Accelerator XFN and Central Analytics. Including these role changes, roughly 20% of everyone on Meta's payroll is affected.

Pods instead of pyramids

The management angle is explicit. Gale said managerial layers are being reduced across the company. In her memo she wrote that "many orgs can operate with a flatter structure with smaller teams of pods/cohorts" that can move faster. The company did not say how many managers are being cut. Engineering and product divisions are reportedly bearing a disproportionate share of the reductions.

The logistics were handled across time zones: employees in Singapore were notified first, with emails arriving at 4 a.m. local time, while staff in the UK and US heard during their own mornings. North American employees were asked to work from home that day, which is perhaps the one remote-work policy nobody wanted to discuss.

Paying for the AI push

Meta frames the restructuring as necessary to fund its AI ambitions. Projected capital expenditure for 2026 is $125 billion to $145 billion, more than double the 2025 figure. U.S. employees leaving receive a base severance of 16 weeks' pay plus two weeks for every full year of service, and 18 months of health coverage for themselves and their dependents.

• In January, Meta cut 10% to 15% of its Reality Labs workforce.
• In March, about 700 positions were eliminated across at least five divisions.
• Leaders have told staff that further cuts are possible later in 2026.

For managers who remain, the shift to small pods means fewer layers to escalate through and, very likely, more people per manager.