Meta Leadership Acknowledges Internal Morale Crisis Amid AI Shift
- March 2026: The AI mega-pivot
- Spring layoffs and forced transfers
- June: Leaders admit “atrocious” rollout and low morale
- Attempting to repair culture
Meta Leadership Acknowledges Internal Morale Crisis Amid AI Shift Meta’s aggressive pivot to artificial intelligence has delivered financial momentum but triggered what executives now concede is one of the worst morale crises in the company’s history. Inside the social media giant, thousands of engineers say their jobs—and the culture that once attracted top talent—have been upended.
March 2026: The AI mega-pivot
In March, CEO Mark Zuckerberg created a 6,500-strong Applied AI unit, built around a US$14.3 billion investment in data-labeling firm Scale AI, to power Meta’s most ambitious AI models. To staff it, engineers were swept from core product, infrastructure and security roles into data-labeling and reinforcement learning tasks, with internal estimates suggesting that one in every five or six engineers now labels data full time.
Spring layoffs and forced transfers
The restructuring accelerated in May, when Meta laid off about 10% of its global workforce—some 8,000 jobs—days after shifting thousands more onto AI teams. Around 7,000 staff were reassigned to AI workflows, often against their will, leading some to call themselves “draftees” and describe their new roles as largely data-labeling grunt work.
Inside the Applied AI unit, resentment boiled over. One employee hijacked a company-wide livestream to denounce a senior executive, while another likened the unit to “literally the gulag,” saying reassigned staff felt they had “zero purpose in life all of a sudden.”
June: Leaders admit “atrocious” rollout and low morale
By mid-June, CTO Andrew Bosworth told employees that morale was “maybe not the worst it’s ever been in 20 years here, but it’s probably up there,” calling it “one of the worst it’s ever been.” He later acknowledged Meta had “undermined the trust” that workers’ expertise would be valued and admitted, “We obviously did an atrocious job explaining the vision.”
Zuckerberg, in an internal memo, conceded that “given the complexity of these changes, we’ve made mistakes and will almost certainly make more,” while pledging no further company-wide layoffs for the rest of 2026 and promising to find “important new roles” for staff pushed into model training.
Attempting to repair culture
In response to the backlash, Meta has begun capping managers at 20 direct reports—down from ratios as high as 50:1 in Applied AI—adding coaching and support, and increasing budgets for offsites, socials and a large collaborative AI hackathon in July.
Yet as senior AI leaders such as Emily Dalton Smith depart and rank-and-file engineers continue to exit, the company is learning that rebuilding a damaged culture may prove far harder than building its next generation of AI models.
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