Meta reportedly used AI to target workers with medical conditions for layoffs

Meta Platforms is facing a federal lawsuit in the United States after 26 current and former employees alleged that the company used AI-assisted tools during a…

Meta Platforms is facing a federal lawsuit in the United States after 26 current and former employees alleged that the company used AI-assisted tools during a major round of layoffs in a way that disproportionately affected workers with medical conditions, disabilities, or those on protected medical or family leave. The lawsuit claims Meta relied on AI-driven productivity metrics and internal analytics that failed to account for legally protected leave, resulting in discriminatory employment decisions.

Meta has strongly denied the allegations, stating that human managers—not artificial intelligence—made layoff decisions. The company says AI tools were not used to determine who would be terminated and that it intends to defend itself against the claims in court.

The case could become one of the first major legal challenges over the use of AI in employment decisions.

Case Overview Details Company Meta Platforms Plaintiffs 26 current and former employees Main allegation AI-assisted layoff process discriminated against protected workers Employees affected Workers with disabilities, medical leave, parental leave and family leave (according to the lawsuit) Meta’s position Denies AI determined layoffs

The plaintiffs are seeking to halt the layoffs while the dispute proceeds through arbitration and litigation.

According to the complaint, Meta allegedly relied on internal AI-powered systems and productivity measurements when evaluating employees.

The lawsuit claims the company considered:

The plaintiffs argue these measurements unfairly penalized employees whose productivity declined because they were on protected leave or managing medical conditions. These are allegations that have not been proven in court.

AI did not determine who was terminated.

The lawsuit mischaracterizes its employment process.

The company intends to vigorously defend itself.

The court has not ruled on the merits of the allegations.

Laws at the Center of the Case

Legal Issue Alleged Concern Disability protections Alleged discrimination against disabled workers Medical leave Alleged failure to account for protected leave Pregnancy and family leave Alleged disparate impact AI bias regulations Alleged non-compliance with AI bias testing requirements

The complaint cites federal and state anti-discrimination laws, along with newer AI-related employment regulations in jurisdictions such as California and New York City.

The lawsuit raises broader questions about AI in human resources.

Legal experts say the outcome could influence how companies deploy AI in hiring, performance reviews, and workforce reductions.

AI and Employment Under Growing Scrutiny

Businesses are increasingly adopting AI across HR functions.

The Meta case could become an important test of how existing employment laws apply when AI-assisted systems influence workplace decisions.

The legal process is expected to include:

No court has yet determined whether the allegations are valid.

The lawsuit against Meta represents one of the most closely watched legal disputes involving artificial intelligence and employment practices. The plaintiffs argue that AI-assisted productivity metrics disproportionately affected workers with disabilities or those on protected leave, while Meta maintains that human managers—not AI—made all layoff decisions. Because the case is still in its early stages, the allegations remain unproven.

As organizations increasingly integrate AI into workplace management, courts and regulators are likely to play a larger role in defining how these technologies can be used without violating employment and anti-discrimination laws. The outcome of this case could shape future standards for transparency, human oversight, and accountability in AI-assisted HR decision-making.

What It Means for the Future of AI in HR

The Meta lawsuit highlights the growing tension between AI-driven workplace efficiency and employee protections. While AI can help organizations analyze large amounts of workforce data, companies may need to ensure that automated or AI-assisted systems do not unintentionally disadvantage employees covered by disability, medical leave, or anti-discrimination laws.

For employers, the case serves as a reminder that the use of AI in employment decisions may face increasing legal and regulatory scrutiny. For workers, it underscores the importance of transparency and human oversight whenever AI tools influence hiring, evaluations, promotions, or layoffs.