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    Home > Headlines > Meta plans fourth restructuring of AI efforts in six months, The Information reports
    Headlines

    Meta plans fourth restructuring of AI efforts in six months, The Information reports

    Published by Global Banking & Finance Review®

    Posted on August 15, 2025

    2 min read

    Last updated: January 22, 2026

    Meta plans fourth restructuring of AI efforts in six months, The Information reports - Headlines news and analysis from Global Banking & Finance Review
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    Tags:innovationfinancial managementArtificial Intelligenceinvestmenttechnology

    Quick Summary

    Meta plans a fourth restructuring of its AI division, splitting Superintelligence Labs into four groups to enhance AI strategy and financial plans.

    Table of Contents

    • Meta's AI Strategy and Financial Plans
    • Overview of Restructuring
    • Financial Backing for Data Centers
    • Future Capital Expenditure Plans

    Meta's AI Division Undergoes Fourth Restructuring in Six Months

    Meta's AI Strategy and Financial Plans

    (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.

    Overview of Restructuring

    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.

    Financial Backing for Data Centers

    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.

    Future Capital Expenditure Plans

    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)

    Key Takeaways

    • •Meta plans a fourth restructuring of its AI division.
    • •Superintelligence Labs will be split into four groups.
    • •Meta aims to fast-track artificial general intelligence.
    • •PIMCO and Blue Owl Capital back $29 billion data center financing.
    • •Meta increases capital expenditure forecast to $66-$72 billion.

    Frequently Asked Questions about Meta plans fourth restructuring of AI efforts in six months, The Information reports

    1What is artificial intelligence?

    Artificial intelligence (AI) refers to the simulation of human intelligence in machines programmed to think and learn like humans, enabling them to perform tasks that typically require human intelligence.

    2What is capital expenditure?

    Capital expenditure (CapEx) is the funds used by a company to acquire, upgrade, and maintain physical assets such as property, buildings, or equipment.

    3What is a data center?

    A data center is a facility used to house computer systems and associated components, such as telecommunications and storage systems, which are crucial for processing and storing data.

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