Meta has announced a major workforce restructuring plan, confirming that it will reduce its global headcount by around 10% in May 2026. The move is expected to impact nearly 8,000 employees across various regions and divisions, marking the first phase of layoffs, with additional cuts likely later in the year.
Janelle Gale, Meta’s Chief People Officer, informed employees through an internal memo describing the decision as “unsettling.” She stated, “We have been working on some changes to our organisation that will result in us laying off around 10% of the company on May 20.” The company will also be shutting down more than 6,000 open roles as part of the restructuring process.
In the same memo, Gale outlined the severance package for affected employees. In the US, impacted staff will receive 16 weeks of base salary along with an additional two weeks of pay for every year of service. Meta will also extend health insurance coverage for up to 18 months for employees and their families.
For employees outside the US, the company plans to offer similar severance benefits, although exact details may vary based on local laws and regional policies. The timing and execution of layoffs may also differ across countries.
Meta will additionally provide career transition support, including job search assistance and relocation services. While the company has not disclosed the exact regional breakdown of affected employees, it emphasized that the decision was driven by the need to improve efficiency and reallocate resources.
“We’re doing this as part of our continued effort to run the company more efficiently and to allow us to offset the other investments we’re making,” Gale noted, adding that the decision involved difficult trade-offs, including letting go of employees who have contributed significantly to the company.
The restructuring comes as Meta continues to increase its investment in artificial intelligence. The company is expected to raise its 2026 capital expenditure on AI to $135 billion, up from $115 billion, focusing on data centers, AI chip partnerships, and advanced computing infrastructure.
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