Meta is facing a lawsuit from 26 employees alleging that the company used internal AI systems to select 8,000 workers for layoffs, with particular targeting of employees with disabilities and those on protected medical or family leave. The complaint claims Meta's AI tools monitored keystroke activity, AI tool usage, and performance metrics in ways that systematically disadvantaged protected workers.
Meta counters that humans, not AI, made the final layoff decisions.
The lawsuit is reportedly the first of its kind against a major US company.
What happened
26 Meta employees filed a lawsuit in US District Court for the Northern District of California alleging that Meta's AI-fueled layoffs of 8,000 employees targeted workers with disabilities and those who took protected medical or family leaves. The complaint claims Meta used internal AI systems—including 'Metamate,' employee-trained 'second-brain' agents, keystroke- and activity-monitoring data, AI-token-usage dashboards, and algorithmically assisted performance ranking—to score, rank, and select employees for termination.
Why it matters
The lawsuit is reportedly the first against a major US company to challenge the alleged use of AI in conducting layoffs. The complaint alleges that Meta's monitoring tools could not account for differences caused by disabilities or protected leaves, meaning affected employees were systematically disadvantaged in the selection process. This raises legal questions about whether AI-driven workforce decisions can comply with disability rights and leave protection laws.
What to watch
Meta denies the core claim, stating in a response that "Workforce management and organizational decisions were and are made by people, not AI." The outcome of this case could set a precedent for how other companies are allowed to use AI in personnel decisions.
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The lawsuit represents a novel legal challenge to the use of AI in human resources decisions at scale. While companies have long used data and metrics to inform layoff decisions, the complaint alleges that Meta's approach systematically encoded discrimination by design—its monitoring tools could not account for the reduced output or activity that naturally results from a disability accommodation or protected leave. Employees on medical or family leave would necessarily accumulate fewer keystroke metrics, lower AI-token usage, and reduced productivity scores, placing them at a structural disadvantage in any system that treated those metrics as selection criteria. The lawsuit hinges on whether Meta's use of these AI systems, in the aggregate, violated employment law protections even if individual human managers made the final decisions. Meta's response—that people, not AI, made the decisions—does not directly address whether the AI tools improperly shaped the candidate pool before human review occurred.
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