Meta's Applied AI Team: 6,500 Engineers in Revolt

What happened at Meta's internal employee meeting this week?

Someone interrupted a livestreamed, employee-only Meta presentation this week with an expletive-filled outburst. The person demanded attendees tell a senior Meta AI executive that he was "a piece of sh*t," according to a recording heard by Wired. One presenter covered their face with their hands. The two meeting leaders asked everyone to mute and moved on, while employees commented on the stream about the "spicy" start.

What is Meta's Applied AI team?

Meta's Applied AI team is a unit of roughly 6,500 engineers and product managers formed in March 2026 to support AI researchers at Meta Superintelligence Labs. The team is led by Maher Saba, a 12-year Meta veteran who previously served as a vice president in its Reality Labs division. The organization reports up to Meta CTO Andrew Bosworth.

Why were engineers drafted into the Applied AI unit?

Many employees say they learned they were being moved into the group through a surprise email. Workers describe the process as "quite random." An internal announcement reviewed by Business Insider explained the reasoning: 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, CEO Mark Zuckerberg explained why he chose Meta employees over outside contractors. Alexandr Wang — who sold his data-labeling startup Scale AI to Meta for $14.3 billion before becoming chief AI officer and heading Meta Superintelligence Labs — knows the data-labeling world well, Zuckerberg said. The average Meta employee has "significantly higher" intelligence than third-party contractors, he added, making them the better choice.

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What work are Applied AI engineers actually doing?

Employees describe being assigned tasks like generating puzzles and coding problems to train AI models. Three current employees told Wired the work is drudgework with little sense of purpose. "It's literally the gulag," one employee said. "You have zero purpose in life all of a sudden, you barely interact with anyone, you just have these tasks every week." Another said "most people find the work soul-crushing."

Originally, the unit was structured so that up to 50 employees reported to a single manager.

How widespread is the discontent at Meta right now?

The frustration extends beyond the Applied AI group. 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. Meta's chief product officer, Chris Cox, addressed the "brutal" environment on a call with employees this week, according to Wired.

Here's what we know so far: this is not an isolated incident but a pattern of discontent tied directly to Meta's aggressive AI pivot — the same pivot that has already driven Meta layoffs affecting 8,000 employees as the company funnels billions into AI research.

What did Zuckerberg say in response?

Zuckerberg addressed the situation in an internal memo on Friday. He acknowledged that recent changes had "caused distress" and admitted the company had made mistakes it plans to address. He wrote that "Meta's north star is to be the best place for the most talented people in the world to make an impact," according to TechCrunch.

Key facts about Meta's Applied AI team at a glance

What is the broader context of Meta's AI push?

Reality Labs — the division Maher Saba previously worked in — burned through $83 billion on the metaverse before Meta shifted focus to AI. The company has executed multiple rounds of layoffs in recent years as it redirects resources. Alexandr Wang's Scale AI was acquired for $14.3 billion, and Wang now heads Meta Superintelligence Labs, the research group the Applied AI team was built to serve.

For builders tracking how Meta's AI strategy is playing out across its product lines, or following the broader AI labor debate around using human workers to train models, this situation is a concrete data point about the human cost of rapid AI scaling.

Zuckerberg's Friday memo — acknowledging distress and promising to address mistakes — is the most concrete company response reported so far.