Meta is facing a potentially landmark lawsuit alleging that artificial intelligence played a discriminatory role in selecting employees for mass layoffs. According to data, 26 former Meta employees have sued the company in federal court in Oakland, California, claiming AI-powered software disproportionately targeted workers with disabilities, medical conditions, or those who had taken protected medical leave. If successful, the case could become one of the first major legal tests of whether companies can be held liable for discriminatory employment decisions influenced by artificial intelligence.
The lawsuit centers on Meta’s workforce reductions announced earlier this year, when the company eliminated approximately 10% of its global workforce, affecting nearly 8,000 employees, as part of a broader restructuring tied to its growing investments in artificial intelligence. The company planned additional job cuts later in 2026 while redirecting resources toward AI development and automation.
According to the complaint, Meta relied on AI-assisted performance evaluation tools that examined factors such as employee productivity, internal communication patterns, AI token usage, and other workplace activity metrics. Former employees argue these systems failed to account for legitimate absences caused by disability, illness, pregnancy, or approved medical leave. As a result, workers who exercised legally protected rights allegedly appeared less productive than coworkers who remained continuously active, making them more likely to be selected for layoffs.
The plaintiffs also allege Meta used internal AI tools, including an internal large language model known as Metamate, together with automated monitoring systems that ranked employee performance. They argue these systems effectively penalized workers for circumstances protected under federal and state employment laws rather than evaluating their actual job performance. The lawsuit claims Meta violated the Americans with Disabilities Act, the Family and Medical Leave Act, the Pregnancy Discrimination Act, and similar protections under California law. It also cites newer AI regulations adopted in California and New York City that require employers to evaluate automated employment systems for potential bias.
Meta strongly disputes the allegations. A company spokesperson said that workforce management decisions “were and are made by people, not AI,” arguing that human managers—not automated systems—made the final layoff decisions. Meta maintains that the lawsuit lacks merit and rejects the claim that artificial intelligence determined who lost their jobs.
Even so, legal experts say the case could have implications far beyond Meta. Increasing numbers of large companies now use AI to assist with recruiting, performance reviews, promotions, scheduling and workforce planning. While these systems can improve efficiency, critics warn they may unintentionally reproduce or amplify existing biases if the underlying data fail to account for legally protected circumstances such as parental leave, disability accommodations or medical absences. The lawsuit raises the broader question of whether employers remain responsible when AI-assisted systems produce discriminatory outcomes, even if humans technically make the final decisions.
The plaintiffs are asking the court to temporarily halt layoffs scheduled to begin on July 22, arguing that losing their jobs could immediately jeopardize healthcare coverage, immigration status for some workers, and other employment-related protections. They also seek damages through arbitration and an injunction requiring Meta to stop relying on allegedly biased AI systems until they can be independently tested for fairness.
The lawsuit was a significant milestone in the growing debate over artificial intelligence in the workplace. The case is not simply about one company’s layoffs; it could establish important legal standards governing how employers use AI to evaluate workers and whether automated decision-making systems can comply with long-standing anti-discrimination laws. As AI becomes more deeply integrated into corporate management, the outcome may influence employment practices across the technology industry and beyond.
