Federal Lawsuit Challenges Meta’s AI-Based Layoff Process

Person holding a document titled LAWSUIT in office.

Meta is facing a new lawsuit that says its layoff tools turned medical leave into a mark against workers.

Quick Take

Twenty-six current and former Meta workers filed a federal lawsuit in Oakland, California.
The complaint says Meta used artificial intelligence and employee data to rank workers for layoffs.
Plaintiffs say the system punished people on medical, parental, or disability-related leave.
The case adds to wider worries about AI tools making job cuts less fair and less transparent.

What the Lawsuit Says Meta Did

The complaint says Meta used AI-assisted systems to score and rank employees before cutting about 8,000 jobs in May. The plaintiffs say the process relied on work output, software development activity, and AI tool usage. They argue those measures could not fairly track workers who were away on protected leave. The suit says that left some employees looking like weak performers when they were actually out for medical or family reasons.

The lawsuit also says Meta used internal tools such as its Metamate chatbot, employee activity data, and productivity scores. According to the complaint, the company also used monitoring data from keystrokes, screen content, emails, and browser history. The plaintiffs say those systems fed layoff decisions and helped place some workers on termination lists. They claim that employees’ scores fell while they were away from work, which made leave itself work against them.

Why the Case Matters

The suit could become a major test of how existing civil rights law applies to AI-driven layoffs. The plaintiffs say Meta violated laws that protect workers with disabilities, medical conditions, pregnancy-related needs, and protected leave. They also say the company failed to test its AI systems for bias, which they claim is required under newer California and New York City rules. That makes the case bigger than one company, because many employers now use software to guide job cuts.

That wider concern cuts across politics. Workers on both the left and right have watched large companies use automated systems to make life-changing decisions with little human review. Supporters say these tools save time and improve efficiency. Critics say they can hide bias behind numbers that sound objective. This lawsuit fits that divide, because it says a system built for speed may have ignored basic fairness for people already dealing with illness or leave.

Meta’s Wider AI and Layoff Push

Meta had already cut about 10 percent of its global workforce earlier in the year as it shifted more money into artificial intelligence. Reuters reported that 26 plaintiffs filed the suit after that round of layoffs, and the complaint says the company used AI-adoption labels such as “AI Native,” “AI First,” and “AI Enabled” in its review process. The case lands at a time when many employers are using AI language to justify cuts, while workers want clear proof that the process is fair.

For employees, the concern is not only losing a job. It is losing one after a system scores them badly for being sick, pregnant, or on leave. For employers, the case raises a costly warning: if the data is not adjusted for time away, a tool meant to measure output may measure absence instead. The lawsuit does not prove Meta did that, but it does say workers believe the company built layoffs around numbers that missed the human reality behind them.