Meta laid off 8,000 employees on May 21, 2026, cutting approximately 10% of its 78,000-person workforce to fund what the company called its largest AI infrastructure buildout yet. The layoffs follow Meta's January forecast of $115 billion to $135 billion in capital expenditures for 2026, nearly double the $72.22 billion spent in 2025, earmarked primarily for Meta Superintelligence Labs and related AI projects.
The final headcount reduction landed below initial March estimates of 20% but still represents one of the largest tech-sector layoffs of 2026. Alongside the cuts, Meta reassigned more than 7,000 employees to AI initiatives and closed 6,000 open roles, effectively redirecting approximately 27,000 positions — active, reassigned, or unfilled — toward AI-related work or cost reduction.
“continued effort to run the company more efficiently and to allow us to offset the other investments we're making”— Meta management, internal memo to laid-off employees
Meta management told laid-off employees in an internal memo that the cuts were part of a broader effort to run the company more efficiently while offsetting AI investments. The company did not specify which divisions were most affected, though impacted employees began posting termination notices on LinkedIn within hours of the announcement.
Key facts
- 01Meta laid off 8,000 employees, approximately 10% of its 78,000-person workforce.
- 02The company plans $115B-$135B in capital expenditures for 2026, nearly double the $72.22B spent in 2025.
- 03Meta reassigned more than 7,000 staffers to AI initiatives and closed 6,000 open roles.
- 04Initial reports in March 2026 estimated cuts of 20% before the final figure landed at 10%.
- 05The layoffs began May 21, 2026, with impacted employees notified via internal memo.
The spending surge reflects Meta's aggressive push into foundation models, agentic AI, and the infrastructure required to train them at scale. The company disclosed in January that Meta Superintelligence Labs would absorb the majority of the 2026 capital budget, a significant escalation from 2025 when AI infrastructure accounted for roughly half of the company's $72 billion spend.
Meta's approach diverges from competitors like OpenAI and Anthropic, which have relied on external funding rounds to finance compute buildouts. Meta is instead reallocating internal headcount and closing non-AI roles to self-fund its infrastructure expansion, a strategy that preserves equity but requires deeper operational cuts.
The layoffs arrive as Meta faces mounting pressure to demonstrate returns on AI investments. The company has shipped several generative AI products across Facebook, Instagram, and WhatsApp but has not disclosed revenue attribution or user engagement metrics tied to those features. Investors have questioned whether the infrastructure spending will yield proportional revenue growth.
The 10% cut also signals a broader recalibration in Big Tech workforce planning. Meta's headcount peaked in 2022 before a series of layoffs in 2023 brought the company to approximately 78,000 employees entering 2026. The latest round brings Meta's total workforce closer to pre-2021 levels, even as the company's AI ambitions have expanded significantly since then.
Some former Meta employees posted on LinkedIn that the layoffs were conducted without advance warning, with one describing being notified alongside 8,000 colleagues. Meta did not respond to requests for comment on severance terms or whether the company plans further reductions later in 2026.
“We want to say again that we're grateful for your contributions. Your impact at Meta has been an important part of our story”— Meta management, internal memo to laid-off employees
The company's capital expenditure guidance remains the highest in the tech sector for 2026, exceeding even Microsoft's AI infrastructure spending. Whether Meta can deliver AI products that justify the investment — and the workforce cuts required to fund it — will define the company's competitive position in the foundation-model race over the next 18 months.
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