Meta employees sue over alleged AI-assisted layoff decisions
The lawsuit claims Meta used activity data and algorithmic rankings to select workers for layoffs.
A group of 26 Meta employees has sued the company, alleging that AI-assisted systems used in layoff decisions disproportionately affected workers who had taken medical, parental, or family leave.
The lawsuit was filed in federal court in Oakland, California, and relates to Meta’s May announcement that it would cut about 8,000 jobs, or roughly 10% of its workforce.
According to the complaint, Meta used internal AI systems, activity-monitoring data, token-usage dashboards and algorithmically assisted performance rankings to help select workers for layoffs.
The plaintiffs argue that those metrics could not be fairly accumulated by employees on protected leave or by workers whose output was affected by disability-related accommodations.
All 26 plaintiffs had taken protected leave and had requested or received disability-related accommodations. They have been notified of their layoffs but remain employed, with separations expected to begin on 22 July.
The complaint alleges violations of US labour and civil rights laws, including the Family and Medical Leave Act, the Americans with Disabilities Act, the Pregnancy Discrimination Act and the Pregnant Workers Fairness Act.
Meta denied the allegations, saying the claims lack merit and that people, not AI, made workforce decisions.
The case adds to broader scrutiny of algorithmic systems in employment decisions, especially where performance metrics may have a disparate impact on workers who exercise protected rights.
Why does it matter?
The lawsuit puts algorithmic management directly into the employment-discrimination debate. If AI-assisted performance metrics do not account for protected leave, disability accommodations or caregiving responsibilities, they can appear neutral while producing unequal outcomes. The case could therefore become an important test of how existing labour and civil rights laws apply when companies use AI systems, productivity data and automated rankings in workforce decisions.
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