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Meta to cut around 600 roles in Superintelligence Labs AI unit
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Meta to cut around 600 roles in Superintelligence Labs AI unit
Oct 22, 2025 8:57 AM

Oct 22 (Reuters) - Meta is cutting around 600

positions out of the several thousand roles in its

Superintelligence Labs, the Facebook owner said on Wednesday as

it looks to make its artificial intelligence unit more flexible

and responsive.

The job cuts will affect Facebook Artificial Intelligence

Research (FAIR) unit, as well as teams focused on

product-related AI and AI infrastructure, the company said.

The newly formed TBD Lab, which comprises "a few dozen"

researchers and engineers developing Meta's next-generation

foundation models, will not be affected.

Axios first reported the job cuts announcement, citing a

company memo.

Chief AI Officer Alexandr Wang said fewer team members would

streamline decision-making and increase the responsibility,

scope and impact of each role.

The company said it was encouraging affected employees

to apply for other jobs within Meta.

Meta on Tuesday struck a $27 billion financing deal with

Blue Owl Capital, the company's largest-ever private

capital agreement, to fund its biggest data center project.

Some analysts said the deal will allow Meta to achieve its

massive AI ambitions by shifting much of the upfront cost and

risk to external capital, while retaining a smaller ownership

share in the project.

The parent of Facebook and Instagram reorganized its AI

efforts under Superintelligence Labs in June after senior staff

departures and a poor reception for its open-source Llama 4

model.

CEO Mark Zuckerberg personally led an aggressive hiring

spree for the unit to revitalize Meta's AI efforts.

Superintelligence Labs includes Meta's foundations, product

and FAIR teams as well as TBD Lab that is focused on developing

the company's next generation of AI models.

The company began investing in AI in 2013 by launching FAIR

unit and recruiting Yann LeCun, its chief AI scientist, to lead

the effort and building a global research network focused on

deep learning.

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