Meta Platforms is cutting hundreds of jobs across its artificial intelligence division as the company retools its operations to accelerate the race toward superintelligence.
According to an internal memo obtained by Axios, about 600 roles are being eliminated from Meta’s superintelligence lab, with cuts spanning its FAIR research, AI product and AI infrastructure teams.
Meta’s chief AI officer, Alexandr Wang, says the move aims to streamline decision-making and reduce internal bureaucracy.
“By reducing the size of our team, fewer conversations will be required to make a decision, and each person will be more load-bearing and have more scope and impact.”
The cuts do not affect Meta’s newly established TBD Lab, which is tasked with developing the firm’s next-generation foundation models. The division is still actively hiring, having recently brought in OpenAI research scientist Ananya Kumar and Andrew Tulloch, co-founder of Mira Murati’s Thinking Machines.
Wang says affected employees are encouraged to apply for other roles, with most expected to be rehired internally.
“This is a talented group of individuals, and we need their skills in other parts of the company.”
The overhaul also follows Meta’s $15 billion investment in Scale AI, part of a broader spending surge to boost compute capacity and talent for advanced model development. Wang, who joined the company after Meta’s investment in Scale AI, said the new direction will allow Meta to build faster and with greater focus.
In the memo, Wang expresses optimism about Meta’s push toward superintelligence.
“I’m really excited about the models we’re training, our compute plans and the products we’re building, and I’m confident in our path to build towards superintelligence.”
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