Twenty-six Meta employees filed a federal lawsuit claiming the company used an artificial intelligence system to target workers with disabilities and medical leave for the May 2026 mass layoffs — and it may be the first case of its kind in U.S. history.
Story Highlights
- Twenty-six current and former Meta employees sued the company on July 14, 2026, in federal court in California, claiming AI systems drove discriminatory layoffs.
- The lawsuit says Meta used a “constellation of internal AI systems” to build its list of 8,000 workers to cut — about 10% of its global workforce.
- Plaintiffs say AI tools measured “token consumption” and productivity scores without adjusting for approved medical or pregnancy leave.
- Meta denies it, saying “workforce decisions were made by people, not AI” — but has released no internal data to back that up.
A First-of-Its-Kind Lawsuit Over AI and Firing Decisions
The lawsuit was filed Monday, July 14, 2026, in U.S. District Court in Oakland, California. Legal experts describe it as the first case in the country to directly challenge how a major company used artificial intelligence (AI) to decide who gets fired. The 26 plaintiffs — current and former Meta workers — say the company violated federal and state laws protecting employees from discrimination based on disability, medical leave, and pregnancy.
The complaint names specific AI tools inside Meta, including systems called “Meta Mate” and “second brain.” These tools reportedly tracked how much workers used AI features and generated productivity scores. The lawsuit says Meta then used those scores to build the termination list for its May 2026 round of layoffs. Workers who were on approved leave — for illness, surgery, or pregnancy — showed lower AI usage. The system allegedly counted that against them.
How the AI Metrics Allegedly Worked Against Protected Workers
The core complaint is about what the lawsuit calls “token consumption” — a measure of how much an employee interacted with Meta’s internal AI tools. Workers on medical leave naturally used those tools less. The lawsuit says Meta’s system treated those gaps as signs of weak performance, without ever adjusting for the fact that the employee was on approved, legally protected leave. That, the plaintiffs argue, is discrimination — even if no human manager ever made a conscious choice to target a sick employee.
The lawsuit also says the AI-generated list was used during Meta’s May 2026 layoffs, which cut roughly 8,000 jobs — about 10% of the company’s global workforce. CEO Mark Zuckerberg publicly linked those cuts to the company’s heavy spending on AI infrastructure, saying the costs of building out AI systems required cutting people. That framing makes the irony hard to miss: workers may have been fired by the very AI tools Meta was spending billions to build.
Meta Denies It, but Refuses to Show Its Work
Meta pushed back quickly. The company released a statement saying “workforce management organizational decisions were made and made by people, not AI.” That is a direct denial of the lawsuit’s central claim. But Meta has not released any internal documents, code, or data to support that position. No named engineers or human resources executives have stepped forward to explain exactly how the layoff list was built or what role, if any, the AI tools played.
Meta used AI to target workers with medical conditions for layoffs, lawsuit claims https://t.co/aWV8iQp3cw https://t.co/aWV8iQp3cw
— Reuters (@Reuters) July 15, 2026
That silence matters. The lawsuit will now move into a discovery phase, where Meta could be forced to hand over internal records, emails, and the actual logic behind its AI scoring systems. A court-ordered audit could show whether workers on protected leave were cut at higher rates than others. Until that data comes out, both sides are making claims without public proof. What is clear is that this case raises a serious question every American worker should care about: if a company uses an algorithm to decide who gets fired, who is accountable when that algorithm breaks the law?
Sources:
insiderpaper.com, wsj.com, cnbc.com, usatoday.com, claimsjournal.com, instagram.com
