Meta Platforms has launched its fourth restructuring of artificial intelligence operations within just six months, underscoring both the urgency and turbulence in its race to develop artificial general intelligence (AGI). According to reports from The Information, the restructuring centers on Superintelligence Labs, Meta’s flagship AI unit, which will now be divided into four sub-units: a yet-to-be-named lab, a Products Team handling consumer-facing AI tools such as the Meta AI assistant, an Infrastructure Team tasked with scaling systems, and the Fundamental AI Research (FAIR) Lab focusing on long-term innovation.

The move follows challenges that include key personnel departures and muted reactions to the company’s open-source Llama 4 model. Despite these hurdles, Meta continues to invest heavily in AI, aiming to position itself as a global leader in the development of next-generation intelligence systems.

Financially, the company has taken bold steps to back its ambitions. Meta raised its 2025 capital expenditure forecast to between 66 and 72 billion dollars, driving a surge of nearly nine percent in its stock value. The company is also planning to sell two billion dollars’ worth of data-center assets to co-develop infrastructure with partners, a move designed to reduce financial strain while maintaining growth flexibility. In addition, Meta previously secured 29 billion dollars in financing for a large-scale data center project in rural Louisiana.

Leadership of Superintelligence Labs remains under Chief AI Officer Alexandr Wang, supported by high-profile recruits such as Daniel Gross and former GitHub CEO Nat Friedman. Meta has also invested 14.3 billion dollars into Scale AI, further signaling its determination to accelerate progress. Generous compensation packages, sometimes dubbed “Zuck Bucks,” have been used to attract top-tier talent. However, skepticism persists within the scientific community, with experts like Yann LeCun cautioning that current methods may fall short of delivering true AGI.

While investors have responded positively to Meta’s escalating commitments, the frequent reorganizations reveal ongoing uncertainty about how best to structure the company’s AI strategy. The balancing act between massive infrastructure spending, organizational stability, and scientific breakthroughs will determine whether Meta’s gamble pays off or becomes another costly experiment similar to its investments in Reality Labs.

In the global race for AGI, Meta’s latest restructuring shows both ambition and instability. The company is betting big on the future of intelligence, but the success of this high-stakes gamble is far from guaranteed.