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Meta plans fourth restructuring of AI efforts in six months, The Information reports
Aug 15 (Reuters) - Meta (META.O), opens new tab is planning its fourth overhaul of artificial intelligence efforts in six months, The Information reported on Friday, citing three people familiar with the matter. The company is expected to divide its new AI unit, Superintelligence Labs, into four groups: a new "TBD Lab," short for to be determined; a products team including the Meta AI assistant; an infrastructure team; and the Fundamental AI Research (FAIR) lab focused on long-term research, the report said, citing two people. Meta did not immediately respond to a request for comment. Reuters could not independently verify the report. As Silicon Valley's AI contest intensifies, CEO Mark Zuckerberg is going all-in to fast-track work on artificial general intelligence -- machines that can outthink humans -- and help create new cash flows. Meta recently reorganized the company's AI efforts under Superintelligence Labs, a high-stakes push that followed senior staff departures and a poor reception for Meta's latest open-source Llama 4 model. The social media giant has tapped U.S. bond giant PIMCO and alternative asset manager Blue Owl Capital (OWL.N), opens new tab to spearhead a $29 billion financing for its data center expansion in rural Louisiana, Reuters reported earlier this month. In July, Zuckerberg said Meta would spend hundreds of billions of dollars to build several massive AI data centers. The company raised the bottom end of its annual capital expenditures forecast by $2 billion, to a range of $66 billion to $72 billion last month. Rising costs to build out data center infrastructure and employee compensation costs -- as Meta has been poaching researchers with mega salaries -- would push the 2026 expense growth rate above the pace in 2025, the company has said. Reporting by Jaspreet Singh in Bengaluru; Editing by Alan Barona Our Standards: The Thomson Reuters Trust Principles., opens new tab
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Meta plans fourth restructuring of AI efforts in six months, The Information reports
(Reuters) -Meta is planning its fourth overhaul of artificial intelligence efforts in six months, The Information reported on Friday, citing three people familiar with the matter. The company is expected to divide its new AI unit, Superintelligence Labs, into four groups: a new "TBD Lab," short for to be determined; a products team including the Meta AI assistant; an infrastructure team; and the Fundamental AI Research (FAIR) lab focused on long-term research, the report said, citing two people. Meta did not immediately respond to a request for comment. Reuters could not independently verify the report. As Silicon Valley's AI contest intensifies, CEO Mark Zuckerberg is going all-in to fast-track work on artificial general intelligence -- machines that can outthink humans -- and help create new cash flows. Meta recently reorganized the company's AI efforts under Superintelligence Labs, a high-stakes push that followed senior staff departures and a poor reception for Meta's latest open-source Llama 4 model. The social media giant has tapped U.S. bond giant PIMCO and alternative asset manager Blue Owl Capital to spearhead a $29 billion financing for its data center expansion in rural Louisiana, Reuters reported earlier this month. In July, Zuckerberg said Meta would spend hundreds of billions of dollars to build several massive AI data centers. The company raised the bottom end of its annual capital expenditures forecast by $2 billion, to a range of $66 billion to $72 billion last month. Rising costs to build out data center infrastructure and employee compensation costs -- as Meta has been poaching researchers with mega salaries -- would push the 2026 expense growth rate above the pace in 2025, the company has said. (Reporting by Jaspreet Singh in Bengaluru; Editing by Alan Barona)
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Meta is reportedly planning its fourth AI restructuring in six months, dividing its Superintelligence Labs into four groups, as the company intensifies its efforts in the competitive AI landscape.
Meta, the parent company of Facebook, is reportedly planning its fourth restructuring of artificial intelligence efforts in just six months, according to a report by The Information 1. This move underscores the company's aggressive push in the increasingly competitive AI landscape of Silicon Valley.
Source: Reuters
The restructuring plan involves dividing Meta's new AI unit, Superintelligence Labs, into four distinct groups 1:
This reorganization follows recent senior staff departures and a lukewarm reception for Meta's latest open-source Llama 4 model 1.
Meta's commitment to AI development is evident in its substantial financial investments. CEO Mark Zuckerberg announced in July that the company would spend hundreds of billions of dollars to build several massive AI data centers 1. To support this expansion, Meta has partnered with U.S. bond giant PIMCO and alternative asset manager Blue Owl Capital to secure $29 billion in financing for a data center project in rural Louisiana 2.
The company has raised its annual capital expenditures forecast, increasing the bottom end by $2 billion to a range of $66 billion to $72 billion 1. This significant investment reflects Meta's determination to lead in the AI race.
Zuckerberg's strategy involves fast-tracking work on artificial general intelligence (AGI) – machines capable of outthinking humans – with the aim of creating new revenue streams 1. This ambitious goal places Meta at the forefront of AGI development, intensifying competition among tech giants.
Meta's AI push is not without its challenges. The company faces rising costs associated with building out data center infrastructure and employee compensation. In a bid to attract top talent, Meta has been offering researchers exceptionally high salaries, a strategy that is expected to push the 2026 expense growth rate above the pace set in 2025 2.
As Meta continues to reshape its AI strategy, the tech industry watches closely. The frequent restructuring and massive investments signal Meta's determination to lead in the AI race, potentially reshaping the landscape of artificial intelligence research and development in the coming years.
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