Twenty-six Meta employees have sued the company in the US District Court for the Northern District of California, alleging that internal AI systems — not managers — selected the 8,000 workers cut in Meta's May 2026 layoffs. The complaint, filed under Doe pseudonyms, says the plaintiffs were disproportionately drawn from employees who had taken protected medical or family leave, or who had requested disability accommodations, in the 24 months before selection. Meta denies the claim, saying layoff decisions were made by people. Separations are scheduled to begin on July 22, 2026.
The plaintiffs allege Meta ranked employees using a stack of internal AI tools, including a system called Metamate, employee-trained 'second-brain' agents, keystroke- and activity-monitoring data, AI-token-usage dashboards, and algorithmic performance calibration. Workers were graded in part on how heavily they used Meta's own AI products. According to the filing, this is the first US lawsuit challenging a major company's alleged use of AI to conduct layoffs.
Meta's internal ranking system, according to the complaint, sorted staff into tiers based on AI adoption. Employees were labeled as 'AI Native,' 'AI First,' or 'AI Enabled,' with the labels feeding into calibration scores used to build the termination list.
“Meta's internal dashboards classified employees by their stage of adoption of its artificial-intelligence tools, using categories such as 'AI Native,' 'AI First,' and 'AI Enabled'”— Doe Plaintiffs, Complaint filed in US District Court for the Northern District of California
Key facts
- 0126 Meta employees sued in the US District Court for the Northern District of California, alleging AI tools selected 8,000 workers for layoff.
- 02The complaint names an internal system called Metamate, plus AI-token-usage dashboards and 'second-brain' agents, as inputs to the ranking.
- 03Meta committed to spending $125B–$145B on AI in 2026, more than double its 2025 outlay, while announcing 10% headcount cuts.
- 04All 26 plaintiffs requested medical leave or disability accommodations in the 24 months before selection; separations are set to begin July 22, 2026.
- 05Meta denies the allegation, saying workforce decisions 'were and are made by people, not AI.'
The plaintiffs argue these inputs are structurally biased against workers on leave. Performance ratings, output metrics, and AI-token consumption cannot be accumulated by someone on approved medical or family leave, or whose productivity is limited by a disability. The suit says Meta did not neutralize those inputs, exclude leave-takers from the selection cohort, or pause the system for individualized review — creating what the plaintiffs describe as an automated penalty for exercising legally protected rights.
Meta rejects the framing. In a statement, the company said the allegations 'lack merit and are not based on facts,' adding that 'workforce management and organizational decisions were and are made by people, not AI.' Meta declined further comment.
“These claims lack merit and are not based on facts. Workforce management and organizational decisions were and are made by people, not AI”— Meta, Company statement
The plaintiffs work across California, Illinois, Washington, New York, the District of Columbia, Pennsylvania, and Florida. They cite the US Family and Medical Leave Act, the Pregnancy Discrimination Act, the Americans with Disabilities Act, and the Pregnant Workers Fairness Act, along with several state-level statutes. California's Fair Employment and Housing Act, recently updated, forbids the use of an automated-decision system that produces disparate-impact discrimination on the basis of disability or sex, including pregnancy — a provision the complaint leans on heavily.
The layoffs followed an internal memo from Chief People Officer Janelle Gale announcing cuts of roughly 10% of staff and a hiring freeze on about 6,000 open roles. The complaint notes that Meta announced these cuts even as it reported record revenue the prior month and committed to spending between $125 billion and $145 billion on AI in 2026 — more than double its 2025 expenditure. The mismatch between record revenue, record AI spending, and mass layoffs is central to the plaintiffs' argument that efficiency, not necessity, drove the terminations.
“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”— Janelle Gale, Meta Chief People Officer
The complaint includes striking individual examples. One Meta scientist was selected for layoff while on approved pre-birth pregnancy leave — the day before her water broke, and two days before she gave birth. Others were selected while on maternity or paternity leave, or on medical leave for disabilities. Some had already returned to work under approved work-from-home accommodations that remained in effect at the time of selection.
The plaintiffs are asking for a preliminary injunction to freeze their employment status — preventing Meta from finalizing separations or changing compensation, benefits, equity vesting, or leave status — while an independent audit examines the selection process. That audit, as proposed, would recompute selection scores using leave- and accommodation-neutralized inputs, and identify any plaintiff whose selection cannot be justified on neutral grounds. Because Meta's employment contracts include mandatory individual arbitration and a class-action waiver, the case is not a class action; the 26 plaintiffs plan to arbitrate separately.
The evidentiary question is whether Meta's ranking process was, in substance, algorithmic — regardless of whether a human signed off at the end. Meta's public position that 'people, not AI' made the decisions may not resolve that question if the inputs those managers relied on were themselves generated by scoring systems the plaintiffs allege were biased. Discovery, if the case proceeds, would likely turn on how the Metamate outputs and AI-token dashboards were used in calibration meetings.
For the broader AI industry, this is the case to watch. Every large employer is now embedding AI usage metrics, copilots, and productivity dashboards into performance review, and many are quietly using those signals to inform reductions. If a court or arbitrator finds that inputs like AI-token consumption cannot lawfully be used without adjusting for protected leave, the compliance burden extends well beyond Meta — to every company running similar dashboards. The outcome will shape how HR software vendors design their next generation of workforce-analytics products, and how carefully AI-adoption metrics can be tied to employment decisions at all.
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