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California, July 15, 2026 – Meta Platforms is facing a groundbreaking lawsuit filed by 26 former employees who claim the company used artificial intelligence to unfairly target workers with medical conditions, disabilities, or those on medical leave during its sweeping layoffs earlier this year.
The case, lodged in federal court in Oakland, raises urgent questions about the role of AI in corporate workforce management and its potential to amplify bias.
The plaintiffs, hailing from six states including California, New York, and the District of Columbia, allege that Meta relied on AI powered productivity scores and “AI token usage” to determine which employees would be cut.
According to the lawsuit, workers who took medical leave or required disability accommodations disproportionately flagged as underperforming, leaving them vulnerable during Meta’s restructuring.
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Meta has strongly denied the accusations. A company spokesperson insisted that “workforce management and organizational decisions were and are made by people, not AI.”
The firm maintains that its layoffs, which eliminated roughly 10 percent of its global workforce about 8,000 jobs were part of a broader strategic pivot toward artificial intelligence investments.
The lawsuit argues that Meta’s reliance on AI driven metrics violated federal and state anti discrimination laws, including protections for disability, pregnancy, and medical leave.
Plaintiffs are seeking a court order to block further layoffs while arbitration proceeds.
Legal experts note that this could be the first major U.S. case challenging the use of AI in employment decisions, potentially setting precedent for how companies deploy automated systems in human resources.
The timing of the layoffs coincided with Meta’s aggressive push into AI, embedding artificial intelligence agents across its products and internal operations.
While the company has touted these moves as essential for innovation and competitiveness, critics argue that the integration of AI into workforce management has blurred accountability.
California and New York City recently enacted laws requiring employers to test AI systems for bias.
Plaintiffs claim Meta failed to comply with these regulations, further strengthening their case.
If proven, the allegations could expose Meta to significant regulatory scrutiny and reputational damage.
Industry observers warn that the lawsuit underscores a broader risk AI systems, when applied to productivity and performance metrics, may inadvertently penalize employees who take legitimate medical leave.
Without safeguards, such tools could reinforce systemic discrimination rather than eliminate it.
For Meta, the stakes are high. Beyond potential financial liability, the case could reshape public perception of its AI strategy and intensify calls for stricter oversight of algorithmic decision-making in the workplace.
For the tech industry at large, the lawsuit highlights the urgent need to balance efficiency with fairness as AI becomes increasingly embedded in corporate structures.
As the case unfolds, it will test not only Meta’s defense but also the legal system’s ability to grapple with the complexities of AI in employment.
The outcome could influence how companies nationwide deploy artificial intelligence in hiring, promotions, and layoffs and whether workers can trust that technology will serve them equitably.
