Meta's 2026 push into AI has triggered internal resistance, from forced reassignments and keystroke monitoring to mass layoffs and a sharp drop in employee morale. The friction comes even as the company commits billions to AI infrastructure.
Meta wanted to go all-in on AI. Its employees had other ideas. The company's aggressive restructuring throughout 2026 has produced a cascade of internal problems that threaten to undermine the very AI ambitions driving the changes.
Reassigned engineers call the work a gulag
In March 2026, Meta created an Applied AI unit composed of roughly 6,500 engineers and product managers. Many of them didn't choose to be there — internally, reassigned workers were labeled draftees. The unit's primary mission was generating training data for Meta's AI models, and according to Crypto Briefing, employees described the work as being in "a soul-crushing gulag".
Between 30% and 50% of core engineering teams were reassigned to data tasks following the restructuring, pulling experienced engineers away from the product work they were hired to do. The shift shows up in the numbers: internal data showed a 220% increase in code changes year-over-year, while user-facing features grew just 36%. Security and reliability incidents jumped 40%, and firefighting time surged 70%.
Surveillance sparks a 1,600-signature petition
Meta rolled out the Model Capability Initiative, or MCI, a program that monitored employee keystrokes and tracked their activities to measure productivity tied to AI work. Over 1,600 workers signed a petition protesting the surveillance protocols, and the pushback eventually led to some limited pauses in MCI monitoring, though the program wasn't scrapped entirely.
Layoffs and a morale collapse
In May 2026, Meta cut approximately 8,000 jobs, about 10% of its total workforce, as the company reassessed its AI plans against the resistance and operational difficulties emerging internally. Employee sentiment, measured through internal surveys, dropped from 74% favorability to 55%. The tension reached a symbolic peak in June 2026, when an employee disrupted a company-wide presentation with an expletive-laden outburst directed at executives.
Despite the turmoil, Meta invested approximately $14.3 billion for a 49% stake in Scale AI, the data-labeling and AI infrastructure company.
What the gap in the numbers signals
For investors, the gap between the 220% rise in code changes and the 36% growth in user-facing features should raise questions about execution efficiency. The 40% jump in security incidents stands out as the most operationally concerning data point, since reassigning experienced engineers away from their areas of expertise creates real vulnerabilities in systems that billions of people use daily.
Source: Crypto Briefing
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