メタの AI チームは「魂を削る強制収容所」だと、そこで働くエンジニアらが訴える

Anyone who works at Meta or knows anyone who works at Meta will tell you the same thing: It is not a happy place, particularly given the seemingly endless layoffs the company has executed over the last few years — cuts that have only accelerated as the company funnels billions into AI.

Now, a new report in Wired suggests the company’s Applied AI team is on the verge of revolt.

The drama kicked off when someone hijacked a livestreamed, employee-only presentation this week with an expletive-laden meltdown, demanding that attendees tell a senior Meta AI executive that he was “a piece of sh*t.” One presenter reportedly covered their face with their hands.

That outburst, Wired reports, reflects simmering rage inside the three-month-old unit of roughly 6,500 engineers and product managers who have been tasked with supporting the company’s AI research ambitions.

A report last month in Business Insider shed light on how many employees originally learned they’d be moved into the group — through a surprise email, a process that one self-described draftee described later on Reddit as “quite random.” According to an internal announcement reviewed by BI, the reason they were enlisted is that Meta’s AI models still lacked the knowledge to outperform humans at technical tasks like coding. “For agents to understand how people actually complete everyday tasks using computers, we need to train our models on real examples,” the announcement read.

In a leaked audio recording from an internal meeting that month, CEO Mark Zuckerberg offered his reasoning for drafting employees rather than outside contractors. Alexandr Wang — who sold his data-labeling startup Scale AI to Meta for $14.3 billion before taking the role of chief AI officer and heading up Meta Superintelligence Labs — knows the data-labeling world well, Zuckerberg said. And candidly, the average Meta employee has “significantly higher” intelligence than third-party contractors, he added, making them the better choice.

Employees describe being forced into the group with no real choice: join or quit. Many call themselves “draftees.” Their assigned work? Generating puzzles and coding problems to train AI models. “It’s literally the gulag,” one employee told Wired. “Most people find the work soul-crushing,” said another.

It’s not just the Applied AI group where morale is lousy. More than 1,600 Meta employees company-wide have reportedly signed a petition protesting a program that monitors their clicks and keystrokes for AI training data. The mood across the company is dark enough that Meta’s chief product officer, Chris Cox, felt compelled to address the “brutal” environment on a call with employees this week, said Wired.

TechCrunch has reached out to Meta for comment.

According to earlier reports, the Applied AI team is led by Maher Saba, a 12-year veteran of Meta who was previously a vice president in its Reality Labs division, the division that burned through $83 billion on the metaverse before Meta moved on to AI. The new organization reports up to Meta CTO Andrew Bosworth.

Originally, the unit was structured in such a way that up to 50 employees reported to one manager.

Zuckerberg, for his part, reportedly addressed the broader situation in an internal memo Friday, acknowledging that recent changes had “caused distress” and admitting the company had made mistakes that it plans to address. According to Wired, he added in his memo that “Meta’s north star is to be the best place for the most talented people in the world to make an impact.”

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Loizos has been reporting on Silicon Valley since the late ’90s, when she joined the original Red Herring magazine. Previously the Silicon Valley Editor of TechCrunch, she was named Editor in Chief and General Manager of TechCrunch in September 2023. She’s also the founder of StrictlyVC, a daily e-newsletter and lecture series acquired by Yahoo in August 2023 and now operated as a sub brand of TechCrunch.

You can contact or verify outreach from Connie by emailing connie@strictlyvc.com or connie@techcrunch.com, or via encrypted message at ConnieLoizos.53 on Signal.

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