Meta sued over AI-driven layoffs targeting disabled workers

On July 15, 2026, the Equal Employment Opportunity Commission (ETA) lodged a lawsuit against Meta Platforms in Oakland, California federal court, accusing the technology giant of using AI-powered software to target employees with disabilities or those on medical leave for layoffs. The case names 26 anonymous plaintiffs from six states and is widely regarded by legal experts as likely the first of its kind against a major U.S. company, challenging a growing trend of automated decision-making in employment.

The lawsuit alleges that Meta relied on AI-assisted systems to score and rank employees on productivity metrics when it conducted a major workforce reduction in May 2026. That restructuring cut 10% of Meta's global workforce—approximately 8,000 people—part of a broader company push to increase AI investments. The plaintiffs allege they were harmed because the AI system penalized workers who missed work due to illness or family care obligations, thereby disproportionately targeting employees with disabilities, those on medical leave, or those with other legally protected statuses. The 26 plaintiffs were notified in May that their jobs would be eliminated on July 22. They are seeking a preliminary ruling to block Meta from carrying out the layoffs until they can pursue their claims in private arbitration, and they allege the company violated federal and state anti-discrimination statutes.

Meta has denied the core accusation. In a statement, the company said, "These claims lack merit and are not based on facts," and emphasized that "workforce management and organizational decisions were and are made by people, not AI." Yet legal experts and recent court precedent suggest that using AI as the primary input for employment decisions—even with human sign-off—may not protect employers from liability if the system is shown to have a discriminatory effect. Jon Hyman, chair of the employment and labor practice at law firm Wickens Herzer Panza, explained that "the legal question won't be whether an employer used AI but whether it blindly trusted it." He added that employers who rigorously audit their AI systems, understand how they reach recommendations, and ensure human independent judgment before any employment decision is made will fare best. Hyman also cautioned that if AI penalizes employees for protected absences, disabilities, or other legally protected characteristics, "employers will be held accountable."

The Meta case arrives as courts have already begun scrutinizing AI hiring tools. A federal judge in San Francisco recently ruled that enterprise software company Workday must face a class-action lawsuit alleging its AI screening software discriminates against job applicants. The combination of the Workday ruling and the Meta lawsuit suggests that AI-assisted employment decisions—from hiring to promotion to termination—are entering a period of increased legal exposure and regulatory scrutiny.

The Meta lawsuit reflects a tension at the heart of modern employment technology. Employers increasingly adopt AI to screen resumes, rank applicants, and evaluate workers because these automated tools improve efficiency and reduce hiring costs. Yet the legal system is beginning to treat AI-assisted employment decisions as potential liability, particularly when those systems correlate with protected characteristics—disability status, pregnancy, medical leave, and other legally shielded conditions.

What distinguishes this case is the scale and the allegation of intent. Meta's May 2026 workforce reduction eliminated 10% of its global workforce (about 8,000 people) as the company accelerated its AI investments. The lawsuit does not allege that Meta explicitly programmed discrimination into the system; rather, it alleges that the company used productivity-based AI scoring in a way that mechanically disadvantaged workers with protected absences. Meta's defense—that humans, not AI, made the decision—may not shield the company if the AI system was the primary input and if courts find that reliance on an untested or unaudited algorithm constitutes negligence or discrimination by proxy.

The Workday class-action ruling signals that courts are willing to scrutinize AI hiring tools, shifting the burden to employers. Legal experts now frame the risk not as "whether an employer used AI" but "whether it blindly trusted it," meaning companies must demonstrate rigorous auditing, transparency about how the system reaches recommendations, and genuine human judgment independent of the AI output. For businesses deploying AI in workforce decisions, the implication is clear: efficiency gains do not override discrimination risk.