Meta Sued for Using AI Dashboards to Pick Layoff Targets

Twenty-six former Meta employees filed suit in July, accusing the company of using AI-enabled systems to decide who was laid off in this year's major round of cuts—and claiming the process disproportionately targeted people with disability accommodations or on parental leave.

The complaint's most concrete allegations come from two plaintiffs whose cases Fast Company documents in detail. One, a former Meta employee of five years, had never received a performance rating below "exceeds expectations." Her managers had even granted her a rare equity award for her performance. This past spring, she was laid off anyway.

What went wrong with the ratings?

The pattern emerged after she took a medical leave in late 2025. Her performance rating slipped during that period. She later learned why: her manager had initially rated her "exceeds expectations" but had been forced to lower the rating to fit a bell curve.

Her job responsibilities also changed substantially after her return. She had always ranked high on Meta's internal dashboards tracking AI adoption, which labeled the most enthusiastic users "AI first" or "AI native." But her scores dropped after her leave—and she discovered the dashboards had not accounted for the fact that she was on protected leave.

A second plaintiff, a former director at Meta, reached a similar conclusion. He monitored his team's AI usage almost daily. In recent legal filings, he said the dashboards had "failed to distinguish employees' leave from lack of engagement." In other words, the system could not tell whether a ranking had dropped because someone was disengaged or simply on leave.

Are algorithms deciding layoffs?

The lawsuit lands in what the source calls an era of "forever layoffs"—a period of continuous, rolling job cuts across tech. Some tech workers have long suspected that an algorithm or AI might be deciding who goes. The plaintiffs' claim, if it holds up in court, suggests those fears are now being realized in legal filings rather than in speculation.

The case also widens the lens beyond individual job loss. Job displacement is not the only consequence of widespread AI adoption, the source notes—though the Fast Company article, citing its own LinkedIn poll, cuts off before detailing the broader findings.

What does this change for tech workers?

For individuals, the suit raises a practical question about how performance is measured when AI tools do the measuring. If adoption dashboards track engagement with AI tools but ignore protected leave, a strong performer on medical or parental leave could see her internal standing fall through no fault of her own—right before a layoff round.

The 26 anonymous plaintiffs are joined by a number of former colleagues also laid off this year. Their core allegation is that Meta's AI-enabled systems, not human judgment alone, determined the cut list—and that this mechanically penalized people who needed accommodations.

The suit is a novel one. It is among the first to put algorithmic layoff selection at the center of a legal claim about disability and parental-leave discrimination at a major U.S. employer.

How courts treat the claim will shape whether companies must audit AI-driven performance and staffing tools for bias against workers on protected leave—a question likely to follow the case into next year's proceedings.