A lawsuit from 26 Meta employees alleges the company [1]used AI-driven scoring and monitoring systems to select workers for layoffs , disproportionately targeting employees with disabilities or those who had taken protected medical, family, pregnancy, or parental leave. "Meta did not assemble the termination list through the considered judgment of managers who knew the work. Instead, Meta used a constellation of internal artificial-intelligence systems -- including a system referred to internally as 'Metamate,' employee-trained 'second-brain' agents, keystroke- and activity-monitoring data, AI-token-usage dashboards, and algorithmically assisted performance ranking and calibration -- to score, rank, and select employees for inclusion on the list," the [2]lawsuit (PDF) said. Ars Technica reports:

> Employees were allegedly graded, among other things, on how much they used Meta's AI tools. "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,'" the lawsuit said. The lawsuit is apparently "the first against a major U.S. company to challenge the alleged use of AI in conducting layoffs," according to [3]Reuters . The complaint alleges that Meta's tools for monitoring employees did not account for differences caused by disabilities and protected leaves. "Those tools draw on inputs -- performance ratings, calibration scores, productivity and output metrics, 'AI-native' ratings, and AI-token consumption -- that, by design, cannot be accumulated by an employee who is on protected medical or family leave, or whose output is reduced by a disability," the lawsuit said.

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> The lawsuit alleged that Meta management did not take steps to adjust scores for employees who took leave or who requested reasonable accommodations for disabilities. "Meta did not neutralize those inputs for protected leave; did not exclude protected-leave-takers or accommodation-seekers from the selection cohort; and did not pause the system for the individualized, leave- and accommodation-neutral review that the law requires," the complaint alleged. "The result was that employees who took protected leaves were disproportionately selected for layoff, based on scoring that not only failed to account for their protected leaves, but in effect penalized the employees for exercising their legal rights to these leaves." The 26 plaintiffs requested leaves or disability accommodations in the 24 months before being selected for layoffs, the lawsuit said. The layoffs are not yet finalized, but employees are scheduled to start losing their jobs on July 22, the lawsuit said.

"These claims lack merit and are not based on facts," said Meta in a statement. "Workforce management and organizational decisions were and are made by people, not AI."



[1] https://arstechnica.com/tech-policy/2026/07/lawsuit-claims-metas-layoff-decisions-were-made-by-ai-not-humans/

[2] https://storage.courtlistener.com/recap/gov.uscourts.cand.474171/gov.uscourts.cand.474171.1.0.pdf

[3] https://www.reuters.com/world/meta-used-ai-target-workers-with-medical-conditions-layoffs-former-employees-2026-07-14/