Meta AI layoffs spark HR legal firestorm: 26 workers on leave targeted

For HR professionals, the Meta case is a warning about the pitfalls of relying on productivity metrics like keystroke counts and token usage when making termination decisions. When 10% of a 70,000-person workforce is cut, any automated system that fails to exclude protected leave periods can create immediate legal liability—and erode employee trust in performance management.

A federal lawsuit filed by 26 Meta employees in Oakland, California, alleges that the company used artificial intelligence tools to select workers for its May 2026 layoffs in a manner that illegally discriminated against employees on protected medical, parental, or family leave. The complaint contends that Meta’s internal AI systems—including keystroke and activity monitoring, AI token-usage dashboards, and algorithmically assisted performance rankings—generated performance scores that “by design, cannot be accumulated by an employee who is on protected medical or family leave, or whose output is reduced by a disability.” The plaintiffs are among the roughly 8,000 employees (10% of Meta’s workforce) notified of layoffs, with separations scheduled to begin July 22, 2026. All 26 remain employed pending the final date.

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When 10% of a 70,000-person workforce is cut, any automated system that fails to exclude protected leave periods can create immediate legal liability—and erode employee trust in performance management.

The allegations strike at the intersection of AI-driven workforce management and longstanding employment discrimination protections. The lawsuit claims Meta failed to pause its automated evaluation system for individualized, leave-neutral review as required under the Family and Medical Leave Act (FMLA), the California Family Rights Act (CFRA), and the Americans with Disabilities Act (ADA). Approximately half of the plaintiffs took leave related to pregnancy or caregiving, and the group includes eight women. One employee was allegedly warned by a manager not to take approved medical leave because it could lead to layoff selection—a claim that, if substantiated, would constitute retaliation. The legal theory is that algorithmic metrics penalize absence and reduced activity, automatically converting protected leave into a layoff risk factor.

Meta has denied the allegations, stating that “workforce management and organizational decisions were and are made by people, not AI.” This defense, however, opens a discovery path into how human reviewers interacted with the AI outputs, whether they had visibility into leave status, and what override mechanisms existed. The case comes at a time when Meta, like other tech giants, has aggressively integrated AI across its operations, including HR functions. The company’s latest layoff round was part of a broader efficiency drive initiated in 2023, aimed at eliminating middle management and reallocating resources toward generative AI and the metaverse. With a market capitalization hovering around $1.7 trillion, Meta’s stock price had been buoyant through 2026, but legal liabilities of this nature could invite regulatory scrutiny and investor concern over algorithmic governance.