Meta employees say the company used AI-linked tools to help decide who would be laid off, and they claim that the choice hit workers on medical and parental leave hardest.
Quick Take
- Twenty-six current and former Meta employees filed a federal lawsuit in Oakland, California.
- The suit says Meta used AI-assisted systems, productivity scores, and activity data in layoff selection.
- The plaintiffs say protected leave, disability, pregnancy, and family care were not fairly counted.
- Meta says the claims lack merit and that people, not AI, made the workforce decisions.
The Lawsuit at the Center of the Fight
The case turns on a simple but explosive claim: Meta did not just cut jobs; it allegedly used internal AI tools and work-tracking data to rank workers for layoffs. The plaintiffs say that method punished people whose medical leave, parental leave, or disability reduced their measured activity.
Reuters reports that 26 employees filed the suit in federal court and said Meta relied on internal AI-assisted systems, including productivity data drawn from keystrokes, screen content, emails, and browser history.
A lawsuit accusing Meta of discriminatory artificial intelligence use in firing workers demonstrates how companies leaning on the emerging technology for employment decisions can incur liability. https://t.co/jpeh9SPay7
— Bloomberg Law (@BLaw) July 28, 2026
That matters because the plaintiffs say the system was not neutral. They argue that a worker on approved leave cannot generate the same output as someone at work every day.
ABC News reported that the complaint says the scores and ratings “by design, cannot be accumulated” by an employee on protected medical or family leave, or by someone whose output is reduced by disability. In plain English, the case says the model may have punished absence itself.
Why Leave Status Matters So Much
The lawsuit ties the alleged harm to leave that the law is supposed to protect. Reporters say the plaintiffs included people who took maternity leave, paternity leave, medical leave, family-care leave, and disability-related leave or accommodations.
That is the legal heart of the case. If a company uses work-activity data without adjusting for protected leave, it can turn a lawful absence into a bad score.
The plaintiffs also say the layoffs came during a broad job cut at Meta. Reuters reported that the company had announced roughly 8,000 layoffs, about 10 percent of its workforce, and that workers were notified in May their jobs would end starting July 22.
The timing adds pressure to the claim because the workers say the ranking system was active right as the company chose who would go and who would stay.
What Meta Says, and What Is Still Unproven
Meta has denied the allegations. Reuters reported that a company spokesperson said the claims “lack merit” and that workforce decisions were made by people, not AI. That denial matters because it frames the central dispute in the case.
The plaintiffs say AI-assisted systems shaped the layoff list. Meta says human managers made the call. For now, the public record shows a sharp conflict, not a resolved fact.
The strongest evidence now available is still the complaint and the reporting about it, not a full technical audit. The sources do not show the actual scoring model, the exact weight given to each input, or a company document proving that leave status directly caused the terminations.
Reuters also reported that a judge declined to block the layoffs, which is a procedural setback for the plaintiffs but not a ruling on whether discrimination occurred.
Why the Case Is Getting So Much Attention
This lawsuit matters beyond Meta because it hits a growing fear in modern workplaces: when companies use hidden scoring tools, workers may never know why they were cut. The more opaque the system, the harder it is to prove bias.
Reuters noted that the case appears to be the first against a major United States company to challenge the use of AI in layoffs, which helps explain why it is drawing so much attention.
The plaintiffs are asking for emergency relief while they pursue their claims, which suggests they believe the harm is immediate. They also face a hard proof problem. The relevant data lives inside Meta’s systems, and the company controls the records that could confirm or weaken their case.
That is why this lawsuit is about more than one round of cuts. It is about who gets to see the machinery behind a layoff, and who has to guess.
