Meta Superintelligence Labs Continues to Restructure Groups

Meta Platforms has restructured its artificial intelligence group for a third time in as many months. Meta Superintelligence Labs is now organized into four groups: general research, superintelligence, AI products, and infrastructure (data centers and hardware). The move comes after newly hired Chief AI Officer Alexandr Wang has had a chance to settle in. The aim is to better leverage the billions of dollars spent recruiting talent and more quickly get AI products to market as well as achieving the company’s longer-term goal of developing artificial general intelligence.

The New York Times reports that Meta’s AI workforce “has grown to thousands of people in recent years,” suggesting the restructure could precede downsizing.

NYT also says that under its new AI leadership Meta is shifting its approach from a closed AI ecosystem that only builds on its own AI — led by the flagship Llama family that is selectively made available free to others for certain uses — and will possibly use third-party tech, which could include development using “‘open-source’ AI models, which are freely available, or licensing ‘closed-source’ models from other companies.”

Meta CEO Mark Zuckerberg “is willing to upend his company to stay relevant in AI as the push to create the most advanced technology has boiled down to a few key players,” NYT writes.

Bloomberg quotes an internal memo sent Tuesday by Wang — who co-founded Scale AI, in which Meta acquired a stake — saying that “superintelligence is coming, and in order to take it seriously, we need to organize around the key areas that will be critical to reach it — research, product and infra.”

The four parts of Meta Superintelligence Labs (MSL) as outlined by Bloomberg are:

  • TBD Lab (title “to be determined”), led by Wang overseeing Meta LLMs “including the Llama tools that underpin its AI assistant,” Bloomberg says.
  • FAIR, launched in 2013 as Facebook AI Research under Yann LeCun, will be jointly run by Rob Fergus operationally and LeCun heading long-term “fundamental” research (which Meta has substituted for the “F” in FAIR).
  • Products and Applied Research, which will turn the tech developed by the other units into consumer and business products under a team led by venture capitalist and former GitHub CEO Nat Friedman.
  • MSL Infra, focused “on the expensive infrastructure needed to support Meta’s AI ambitions” led by Aparna Ramani, says Bloomberg.

Meta officially debuted MSL on June 30, a few weeks after Wang joined the company. Connor Hayes, former head of the AI products group, was previously reassigned to run Threads, Bloomberg notes.

Related:
Meta Puts the Brakes on Its Massive AI Talent Spending Spree, CNBC, 8/21/25
Meta Poaches Apple AI Executive Even as It Plans Hiring Slowdown, Bloomberg, 8/21/25

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