A novel lawsuit accuses Meta Platforms of using artificial intelligence systems to disproportionately select employees who took protected medical leave for mass layoffs, testing whether algorithmic management tools can violate federal and state anti-discrimination laws.
Twenty-six current and former Meta employees filed the complaint Monday in the Northern District of California, alleging the social media giant relied on a suite of internal AI tools — including a large language model assistant called "Metamate," keystroke- and activity-monitoring data, and AI-token-usage dashboards — to score, rank and select roughly 8,000 workers for termination starting in May.
"Meta did not assemble the termination list through the considered judgment of managers who knew the work," the plaintiffs wrote in the 71-page complaint. "Instead, Meta used a constellation of internal artificial-intelligence systems."
The lawsuit, assigned to U.S. District Judge William Orrick, seeks a preliminary ruling blocking Meta from completing the layoffs while the workers pursue individual claims in arbitration. The company requires employees to sign mutual arbitration agreements with class-action waivers.
The AI selection process
Meta announced in April it would cut about 10 percent of its global workforce, or roughly 8,000 jobs, while reassigning several thousand additional employees to new artificial intelligence initiatives as part of a broader restructuring. Chief Executive Officer Mark Zuckerberg later acknowledged at an internal town hall that executives had "miscalculated" the timing of the changes and that the company's AI agents had not progressed as quickly as anticipated.
Earlier this year, Meta deployed an employee-monitoring program that captured keystrokes, screen content, mouse activity, browser history, messages, emails and voice, video and location data on company-issued devices, according to the complaint. The data gathered through the tracking program was used to build AI tools, including by a new engineering organization to which employees were reassigned on a non-optional basis.
The plaintiffs — who work in roles across California, Florida, Illinois, New York, Pennsylvania, Washington state and the District of Columbia — said they share one common factor: all took, requested or were approved for protected leave within the past 24 months. Because the AI system scored employees based on performance ratings, productivity metrics and output data, workers who had taken time away from work had fewer measurable data points, effectively penalizing them for exercising their legal rights, the complaint alleges.
Legal and regulatory stakes
The claims include violations of the Family and Medical Leave Act, the Pregnancy Discrimination Act, the Americans with Disabilities Act and various state-protected leave laws. The plaintiffs also allege Meta failed to test its AI systems for bias in violation of recently adopted California and New York City laws requiring algorithmic impact assessments.
Meta rejected the allegations. "Workforce management and organizational decisions were and are made by people, not AI," a company spokesperson said.
The lawsuit is among the first against a major U.S. company to directly challenge the alleged use of AI in conducting layoffs. It follows separate litigation in California state court accusing a Meta-owned startup of misclassifying AI trainers as independent contractors, signaling growing legal scrutiny of how technology companies deploy automated systems in workforce management.
This article is for informational purposes only and does not constitute investment advice.