Meta Sued: Did an Algorithm Fire Employees on Medical Leave?

The Algorithm Will See You Out

An algorithm chose who got fired. That’s the explosive claim from twenty-six former Meta employees. They've filed a lawsuit alleging the company's automated layoff systems illegally targeted workers on protected medical or parental leave. The suit, which landed Monday in the Northern District of California, represents a major legal challenge to using AI in corporate restructuring, asking a question that terrifies Silicon Valley: What happens when code becomes the hatchet man? The entire Meta AI layoffs lawsuit hinges on the assertion that Meta's "constellation of internal artificial-intelligence systems" didn't just help—it unlawfully discriminated by scoring and ranking people for the chopping block.

The anonymous plaintiffs—engineers, managers, designers, researchers—say Meta’s AI penalized them for the simple act of taking time off. How? The tools allegedly tracked everything. Productivity metrics, keystroke activity, even internal AI token usage. All of it fed into a performance score. An employee on protected leave would, of course, generate less data. To the algorithm, the suit contends, that didn't look like a legal absence. It looked like a slacker. The 71-page complaint is blunt: “Meta did not assemble the termination list through the considered judgment of managers who knew the work.” Instead, it alleges, the company outsourced the dirty work to AI “to score, rank and select employees for inclusion on the list.”

A Black Box for HR Decisions

The firings in question went down in May, when Meta cut roughly 8,000 people—about 10% of its staff. But these weren't just any employees. The lawsuit claims these AI-powered decisions trampled on a host of federal and state laws, from the Family and Medical Leave Act (FMLA) and the Americans with Disabilities Act (ADA) to the Pregnancy Discrimination Act. And the plaintiffs? Every single one of the 26 had taken or been approved for protected leave in the past two years. Eight women on maternity leave. Four men on parental leave. Others were recovering from serious medical issues or caring for sick family. All of them got the axe.

The stories are brutal. One scientist was told she was laid off just two days before giving birth. Another manager on medical leave was cut loose 16 days into his approved absence. The complaint even alleges that some managers openly warned their teams against taking leave, terrified it would put a target on their backs. So as companies race to embrace AI, are they just building faster, more efficient machines for discrimination? The old fear—will AI take my job—has a dark new companion: will it fire me unfairly?

Here's the catch. The lawsuit claims Meta never bothered to audit its AI for bias. A failure that could put it on the wrong side of new laws in California and New York City designed to police exactly these kinds of automated HR tools. Now, the plaintiffs are fighting the clock. They're seeking an injunction to stop their terminations, set to be finalized on July 22, before the case even gets to arbitration. The stakes couldn't be higher. As their lawyers point out, some harms—like losing health insurance mid-pregnancy—can't be undone.

Meta's Denial and the Industry's Crossroads

Meta's response? A brick wall. A company spokesperson told outlets from The Guardian to Fox Business that the claims “lack merit and are not based on facts.” They insist their position is simple: “Workforce management and organizational decisions were and are made by people, not AI.” Spokesperson Andy Stone was even more blunt on X, formerly Twitter. He called the lawsuit's claims "patently untrue. Full stop."

Denials aside, this case couldn't have come at a more pivotal moment. Tech companies are desperately racing to inject AI into every corner of their business, from writing code to writing pink slips. But this frantic push for efficiency threatens to steamroll the messy, human obligations employers have to their people. It leaves managers stuck in the middle, trying to balance the corporate hunger for automation with the basic need for fairness—a dilemma at the heart of the AI automation vs. human jobs debate.

The plaintiffs want one thing: an independent audit. They want to peel back the curtain on Meta's AI and see precisely why they were flagged for termination. This demand for algorithmic accountability is only going to get louder as more businesses hand over critical decisions to code. This legal battle could set a huge precedent, forcing a conversation about the guardrails we need to prevent productivity tools from trampling all over basic workplace rights. And for everyone else? It's a stark reminder to think about what new skills are most valuable when your performance review might be conducted by a machine that can't tell the difference between a vacation and a disappearing act.