Meta reorganizes AI initiatives for the fourth time within six months, according to The Information's report
Meta Announces Fourth Major AI Division Overhaul in Six Months
Meta is undergoing a significant restructuring of its AI efforts, marking its fourth major overhaul in just six months. The latest change involves the creation of Meta Superintelligence Labs (MSL), a new division dedicated to artificial intelligence research and development.
The MSL is subdivided into four specialist teams, each focusing on distinct aspects. The new "TBD Lab" will work on undetermined projects, while a products team will oversee the Meta AI assistant. An infrastructure team will be responsible for scaling and integrating AI into Meta's services, and the Fundamental AI Research (FAIR) lab will focus on long-term research.
This restructuring is part of a deliberate shift toward a sharper focus on AI development. Meta aims to move away from iterative free model releases and toward targeted artificial general intelligence (AGI)-focused work. This new structure is designed to make innovation more manageable and help Meta respond more effectively to internal challenges like staff turnover and prior AI model performance issues.
Significant company-wide measures accompany this restructuring. A temporary hiring freeze, performance-based layoffs that cut 3,600 jobs earlier in 2025, and a workforce reduction of about 13% globally are all intended to streamline operations and reduce costs related to Meta’s massive AI spending and over $35 billion in R&D costs for 2025.
Meta's strategic priorities now emphasize AI monetization via advertising and wearables, while its enterprise AI efforts lag behind competitors like Microsoft and Alphabet. The company's large-scale acquisition of Scale AI also underscores its commitment to strengthening data infrastructure for AI training.
The intensifying AI contest in Silicon Valley has led Meta's CEO, Mark Zuckerberg, to accelerate work on artificial general intelligence. In July, Zuckerberg announced that Meta would spend hundreds of billions of dollars to build several massive AI data centers.
Meta raised the bottom end of its annual capital expenditures forecast by $2 billion, to a range of $66 billion to $72 billion last month. The company anticipates that rising costs to build out data center infrastructure and employee compensation costs (due to poaching researchers with mega salaries) will push the 2026 expense growth rate above the pace in 2025.
The reorganization of the company's AI efforts was under the supervision of Meta Superintelligence Labs, a high-stakes push aimed at accelerating progress toward AGI and improving operational efficiency. However, it's important to note that the report could not be independently verified by our website, and Meta did not immediately respond to a request for comment regarding the report.
The latest change in Meta's AI efforts involves the creation of Meta Superintelligence Labs (MSL), a new division dedicated to artificial intelligence research and development, specifically focusing on long-term research, AI model scaling and integration, and the development of the Meta AI assistant.
In an attempt to move away from iterative free model releases, Meta aims to focus on targeted artificial general intelligence (AGI)-focused work through the MSL, which is subdivided into four specialist teams, each focusing on distinct aspects.
