Lawsuit claims Meta's layoff decisions were made by AI, not humans
Ars Technica Jon Brodkin
26 fired Meta workers say AI tools, not managers, picked them for layoffs. The suit claims the system penalized disability and medical leave — Meta denies it.
Based on reporting by Ars Technica, Jon Brodkin — read the original for the full story.
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Twenty-six anonymous plaintiffs have taken Meta to federal court in California, arguing that the company's recent round of 8,000 layoffs wasn't really a human decision at all. According to the complaint, filed under Doe names in the Northern District of California, Meta leaned on an internal web of AI systems to score and rank employees before cutting them loose — including a tool called Metamate, employee-trained "second-brain" agents, keystroke and activity monitoring, dashboards tracking AI-token usage, and algorithm-assisted performance calibration.
What makes the case notable, per Reuters, is that it appears to be the first lawsuit against a major US company to directly challenge the use of AI in layoff decisions. The plaintiffs say Meta didn't just use AI as a background tool — it built entire classification tiers around how enthusiastically employees adopted AI, sorting workers into labels like "AI Native," "AI First," and "AI Enabled." The suggestion is that how much you used Meta's own AI products became part of your survival score.
The more serious allegation is about who got hurt by that scoring. The complaint says the inputs feeding these systems — performance ratings, calibration scores, productivity metrics, AI-native ratings, AI-token consumption — are the kind of numbers that simply can't be racked up by someone on protected medical or family leave, or by someone whose output dips because of a disability. In other words, if the system rewards constant activity and heavy AI usage, anyone stepping away for medical reasons is structurally set up to score worse, lawsuit or not.
Meta's response has been blunt and short. A company statement given to Ars Technica insists the claims "lack merit and are not based on facts," and that workforce decisions were and are made by people, not AI. Meta didn't offer any further comment, and it isn't clear yet how the company plans to counter the specific claims about Metamate, the token dashboards, or the AI-adoption labels described in the filing.
The case is early, and none of these allegations have been tested in court. But the questions it raises — about who actually reviews an AI system's output before firing someone, and whether policies meant to protect people on leave get quietly overridden by an algorithm's blind spots — aren't going away just because Meta says humans were in the room.
My take — AI-written commentary, not fact-checked reporting
Companies love telling regulators that AI is just a helpful assistant right up until a lawsuit asks who actually pulled the trigger on someone's job. If performance dashboards quietly reward nonstop activity and heavy use of a company's own AI tools, anyone on medical leave was never going to score well, tool or no tool. Meta says people made the calls, but the whole point of dashboards like this is that people stop checking the math once a machine hands them a tidy ranked list.
Read more about this at: Ars Technica
