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Home»News»Meta’s own employees are having a hard time digesting AI. Who would’ve thought?
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Meta’s own employees are having a hard time digesting AI. Who would’ve thought?

News RoomBy News Room9 May 20263 Mins Read
Meta’s own employees are having a hard time digesting AI. Who would’ve thought?
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If you wanted a snapshot of what it looks like when a tech giant tries to force-feed its workforce an AI future, look no further than Meta right now. The company that built its empire on knowing everything about its users has turned that same appetite inward, and its employees are not happy about it. Last month, Meta quietly informed tens of thousands of its U.S. workers that their corporate laptops would begin tracking their keystrokes, mouse movements, clicks, and screen activity. The purpose was to feed that behavioral data into Meta’s AI models so they could learn how people actually use computers. The reaction was immediate — within hours, internal comment threads were flooded with anger, confusion, and more than a hundred emoji reactions that left little to the imagination about how employees felt.

When an engineering manager asked how to opt out, Meta’s chief technology officer, Andrew Bosworth, had a blunt answer: there was no opt-out, at least not on a company laptop. This is the same company that is also tying AI tool usage to performance reviews, running mandatory “AI Transformation Weeks” to retrain its workforce, and building internal dashboards that gamify how many AI tokens employees consume in a day — a metric so aggressively tracked that some workers started building AI agents to manage their other AI agents. The whole thing started to resemble a feedback loop eating itself.

The layoffs just made everything worse

None of this is happening in a vacuum. On April 17, news broke that Meta was planning to cut roughly 10% of its workforce — around 8,000 people — with the first wave scheduled for May 20. Employees who had spent weeks being told to embrace AI, train with AI, and now have their computer behavior harvested to train AI were suddenly also wondering whether they had spent that time building their own replacements. The timing was, to put it generously, awful. Internal posts described the mood as “incredibly demoralizing.” At least three countdown websites appeared, tracking the days to the layoff date. Employees circulated nihilistic memes. One popular internal post simply read: “It does not matter.”

Mark Zuckerberg addressed the data collection at a company-wide meeting, framing it not as surveillance but as a way to teach AI how “smart people use computers to accomplish tasks.” He also noted that AI is “probably one of the most competitive fields in history” — a line that landed differently for people sitting in an office, wondering if they’d still have a job in three weeks.

This is just a preview of what’s coming everywhere

What’s unfolding at Meta isn’t limited to Meta; it’s just further along than most. Microsoft, Coinbase, and Block have all made similar moves recently, restructuring around AI that has led to layoffs and internal friction. The difference is that Meta is doing all of it simultaneously and at scale: retraining workers, surveilling their behavior, tying job security to AI adoption metrics, and cutting headcount to fund the whole endeavor.

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There is no clean way to do any of this. An employee revolt over keystroke tracking at one of the world’s most powerful technology companies — one that is, among other things, actively building AI systems designed to monitor and understand human behavior — is its own kind of irony. Meta spent years convincing billions of people to share their data willingly. Getting its own employees on board is proving considerably harder.

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