Meta AI Layoffs 2025: 600 Roles Cut as Automation Replaces Jobs

Key Takeaways

  • Meta confirms layoffs in Risk and Superintelligence divisions
  • 600 roles eliminated in Meta Superintelligence Labs (MSIL)
  • Jobs replaced by automation and enhanced internal technology
  • Affected employees encouraged to apply for other internal positions

Meta has initiated another round of layoffs, primarily affecting its Risk organisation and Superintelligence Labs division. The company confirmed that roles are being eliminated due to automation and structural changes, with technology replacing human positions.

Internal Memo Reveals Job Replacement Strategy

Meta’s Chief Compliance and Privacy Officer Michel Protti informed staff through an internal memo that the company no longer requires as many roles. The layoffs result from structural changes, adoption of automation systems, and consolidated governance processes.

Protti stated that the risk division is moving away from manual review and adopting more autonomous processes. The exact number of affected employees in the risk department remains undisclosed.

Superintelligence Labs Hit Hard

Meta Superintelligence Labs (MSIL) saw significant cuts, with 600 roles eliminated according to NDTV reports. Alexandr Wang, Meta’s chief, confirmed these layoffs via an international memo on October 22, 2025.

Wang explained the job cuts aim to create a more efficient workflow where “fewer conversations would be needed to make decisions.” He noted that remaining employees would become more “load-bearing” with greater scope and impact.

Recruitment Contrasts With Layoffs

Ironically, Meta had recently hired numerous employees for its Superintelligence Labs division, recruiting top AI researchers from companies like OpenAI, Google, and Apple. The division was focused on developing next-generation personalized AI that could surpass human cognitive abilities.

Despite the cuts, the layoffs will not impact recently hired employees in Meta’s TBD Lab Unit, which continues building next-generation AI models. The company maintains it needs talented workers across different areas and has encouraged affected employees to apply for positions in other departments.

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