Meta CEO Mark Zuckerberg has restructured the company's entire AI operations around a singular goal: developing artificial general intelligence (AGI) and eventually superintelligence. In an internal memo published Monday, Zuckerberg announced that all AI teams across Meta are now consolidated under the newly established Meta Super Intelligence Lab. The reorganization places 28-year-old Alexandr Wang, founder and former CEO of Scale AI, as Chief AI Officer. Wang will collaborate with former GitHub CEO Nat Friedman, who will lead AI product and application research initiatives at Meta. This significant organizational shift underscores Zuckerberg's determination to catch up in the global AI race. "As AI advancements accelerate, the development of superintelligence is becoming increasingly feasible," Zuckerberg wrote in the memo, according to Bloomberg. "I believe this will mark a new era for humanity, and I'm committed to ensuring Meta leads this transformation." Meta faces mounting pressure during this consolidation period. The company has repeatedly delayed its flagship Llama 4 model due to performance issues, with engineers expressing concerns about meeting Zuckerberg's ambitious public claims regarding its capabilities. Notably, 11 out of the original 14 researchers who developed the breakthrough Llama model have already left the company. Wang brings a unique perspective to AI leadership, having built Scale AI - a critical infrastructure provider for major AI systems like ChatGPT - rather than coming from academia. Meta acquired 49% of Scale for $1.43 billion earlier this month, primarily to secure Wang's leadership role in the new superintelligence initiative. This reorganization reflects Meta's aggressive talent acquisition strategy. The company has hired 11 new AI researchers from top competitors, including several previously unreported additions. The team includes former DeepMind researchers Jack Rae and Pei Sun, multiple OpenAI researchers specializing in reasoning models (Jiahui Yu and Shengjia Zhao), and Anthropic's Joel Pobar. Zuckerberg personally oversees recruitment efforts, meeting potential candidates at his homes in Lake Tahoe and Palo Alto while offering seven- to nine-figure compensation packages. The CEO has even reconfigured Meta's office layouts to place new AI hires in close proximity to his workspace. The new structure is designed to pursue a bold vision: first creating AGI that matches human capabilities across multiple domains, then evolving to superintelligence that surpasses human performance. Current AI systems excel at specific tasks but lack the flexible reasoning and learning abilities inherent to humans. Meta's Super Intelligence Lab could emerge as a pivotal internal team akin to Google's DeepMind division. The company plans to aggressively build commercial AI agents, requiring cutting-edge models to maintain competitive advantage. Meta's challenges highlight the high stakes involved. The company plans to spend up to $65 billion this year on AI infrastructure alone, constructing large-scale data centers to train increasingly powerful models. Recent reports indicate Meta is even exploring a proposed "Llama Alliance" to seek external funding from rivals like Amazon and Microsoft for its AI development. The consolidation under Meta's Super Intelligence Lab represents Zuckerberg's most significant organizational bet in the AI space. Rather than maintaining dispersed AI research teams, the new structure centralizes all efforts under unified leadership with a clear objective: achieving superintelligence before competitors. Meta stated it will share more details about the new organization and additional hiring activities in the coming weeks, suggesting this restructuring marks just the beginning of major transformation.