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Meta’s months-old AI unit is a soul-crushing gulag, say the engineers stuck inside it

Meta's Applied AI team is on the verge of revolt. Employees describe their work as soul-crushing and liken it to a gulag.

By Connie Loizos·Jun 12·techcrunch.com·2 min read

Intelligence analysis by Qwen 2.5 (3B)

Meta’s months-old AI unit is a soul-crushing gulag, say the engineers stuck inside it
Image: techcrunch.com

Meta employees are upset with their Applied AI unit, which they compare to a gulag due to its soul-crushing nature and lack of choice in joining.

Why it matters

This story highlights the growing discontent within Meta's AI team, potentially impacting the company's AI research efforts and employee morale.

Imagine you have a group of friends who are forced to do boring chores like cleaning up toys, but they're not allowed to choose whether to do it or not. They feel very unhappy and think it's like being locked in a dark room all day. That's kind of how the Meta employees feel about their work.

Analysis

The Applied AI Unit

Meta’s Applied AI unit is a group of roughly 6,500 engineers and product managers tasked with supporting the company’s AI research ambitions. However, employees describe their work as soul-crushing and liken it to a gulag.

Employee Outburst

A recent livestreamed presentation was hijacked by an employee who demanded that attendees tell a senior Meta AI executive he was “a piece of sh*t.” One presenter reportedly covered their face with their hands. This outburst reflects simmering rage inside the unit, which has been tasked with generating puzzles and coding problems to train AI models.

Data Labeling Process

Employees were originally recruited through a surprise email, described as “quite random,” for work that they describe as soul-crushing. The reason for their recruitment was that Meta’s AI models still lacked the knowledge to outperform humans at technical tasks like coding.

CEO's Perspective

CEO Mark Zuckerberg offered his reasoning for drafting employees rather than outside contractors, stating that the average Meta employee has “significantly higher” intelligence than third-party contractors, making them the better choice. He also mentioned that 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.

Employee Petition

More than 1,600 Meta employees 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 Chief Product Officer Chris Cox felt compelled to address the “brutal” environment on a call with employees.

Company Response

Meta’s chief product officer, Chris Cox, addressed the situation in an internal memo, acknowledging that recent changes had caused distress and admitting the company had made mistakes. He stated that Meta's north star is to be the best place for the most talented people in the world to make an impact.

Key points

  • Meta employees describe their work in the Applied AI unit as soul-crushing and liken it to a gulag
  • Employees were originally recruited through a surprise email, described as 'quite random'
  • The Applied AI unit is tasked with generating puzzles and coding problems to train AI models
  • More than 1,600 Meta employees have signed a petition protesting the company's use of their data for AI training
  • Meta’s chief product officer addressed the situation in an internal memo
The Upside

If this situation improves, Meta could become a better place for talented people who want to make an impact with AI research. This might lead to more innovative and positive developments in AI technology.

The Downside

If things don't improve, the Applied AI unit may face further issues like high turnover rates or even potential legal challenges related to unfair labor practices. The company's reputation could also suffer as a result of this situation.

Originally reported at

techcrunch.com

Discernion covers the story. Read the full piece at the source.

Tagsai-agentsmetasociety

Author

Connie Loizos

Intelligence analysis by

Qwen 2.5 (3B)

Published

Jun 12, 2026

Source

techcrunch.com

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Topics

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