
Press Release (ePRNews.com) - Aug 20, 2025 (UTC) - Meta Platforms Inc. has announced a significant restructuring of its artificial intelligence (AI) division, Meta Superintelligence Labs, splitting it into four specialized units focused on research, superintelligence, products, and infrastructure, as reported by The New York Times and Bloomberg. This marks the company’s fourth major AI reorganization in six months, reflecting CEO Mark Zuckerberg’s aggressive push to compete in the race for advanced AI technologies.
According to an internal memo cited by Bloomberg, the restructuring, led by Chief AI Officer Alexandr Wang, aims to “accelerate” Meta’s pursuit of superintelligence—AI systems capable of surpassing human cognitive abilities. The four new groups will focus on foundational AI research, superintelligence development, AI-driven product development, and infrastructure scaling, including data centers and hardware. The New York Times reported that the move is intended to streamline operations and enhance Meta’s ability to develop AI products quickly to compete with industry leaders like OpenAI, Google, and Anthropic.
The reorganization follows internal tensions and a mixed reception to Meta’s latest open-source Llama 4 model. The New York Times noted that Meta is considering downsizing its AI division, which has grown to thousands of employees, potentially involving role eliminations or staff reassignments. Some AI executives are expected to depart as part of the shakeup. Additionally, Bloomberg highlighted that Meta is exploring the use of third-party closed-source AI models to bolster its product offerings, a potential shift from its open-source Llama models.
Meta has significantly increased its AI investments, with Zuckerberg forecasting $66 billion to $72 billion in capital expenditure for 2025, as per Bloomberg, to support massive AI infrastructure projects like the Prometheus data center in Ohio and the Hyperion cluster in Louisiana. The company has also been aggressively recruiting top talent, offering multi-million-dollar compensation packages to researchers from companies like Scale AI, GitHub, and Google DeepMind, according to The New York Times. Notably, Alexandr Wang, formerly of Scale AI, was appointed chief AI officer, and Shengjia Zhao, a former OpenAI researcher, joined as chief scientist of Meta’s Superintelligence Labs.
The restructuring has sparked concerns about Meta’s AI strategy and its ethical implications. Critics question the sustainability of Meta’s high compensation packages and the risks of pursuing superintelligence, as noted in reports from both Bloomberg and The New York Times. Marketers have also called for transparent and privacy-safe AI tools to support advertising efforts, reflecting broader industry demands for responsible AI development.
This latest overhaul underscores Meta’s determination to lead in the AI race, but it also highlights the competitive and volatile nature of the industry. As Meta navigates these changes, it faces the challenge of balancing rapid innovation with ethical and operational considerations.