In a bold move, Mark Zuckerberg has handed the keys to Meta’s AI operations to 28-year-old Scale AI founder Alexandr Wang to lead an all-star team aimed at achieving “superintelligence” and outpacing competitors.
Article contents:
- Introduction: Zuckerberg’s biggest gamble
- Who is Alexandr Wang? Silicon Valley’s new wunderkind
- What is “superintelligence”? Meta’s theoretical goal
- The infrastructure and talent race
- The Llama crisis: Why Meta needed a change
- Why Wang? A leader, not a scientist
- Conclusion: A bet that will determine Meta’s future
Introduction: Zuckerberg’s biggest gamble
In June, Mark Zuckerberg handed the complete keys to Meta’s AI operations to 28-year-old Alexandr Wang as part of a $14.3 billion investment in his company, Scale AI. As Meta’s first chief AI officer, Wang now leads a new superintelligence team featuring industry all-stars earning salaries comparable to top athletes. This move marks the latest chapter in Silicon Valley lore: the rise of a new wunderkind coinciding with the next world-changing technology.
Who is Alexandr Wang? Silicon Valley’s new wunderkind
In the summer of 2016, a 19-year-old Alexandr Wang was building his data labeling startup, Scale AI, in a house next to a swimming pool. Less than a decade later, the MIT dropout is leading the artificial intelligence ambitions of one of the world’s largest tech companies. Wang built his company on the “picks and shovels” of AI: the manual labor of labeling and organizing data so artificial intelligence models can learn from it. This deep understanding of AI fundamentals is what caught Zuckerberg’s attention.
What is “superintelligence”? Meta’s theoretical goal
Wang and his team have been tasked with achieving something exceptionally ambitious: reaching “superintelligence.” There is no universally agreed-upon definition of superintelligence, though the term generally refers to AI that vastly outperforms human capabilities across nearly all domains, including scientific creativity, general wisdom, and social skills. It goes beyond Artificial General Intelligence (AGI), which typically refers to an AI system at human-level intelligence.
The infrastructure and talent race
Zuckerberg is betting everything on AI to maintain his empire’s dominance. In addition to spending tens of billions of dollars annually on infrastructure, he is writing massive checks to hire top talent. Alongside Wang, the team includes former GitHub CEO Nat Friedman and researchers poached from OpenAI, Anthropic, Google, and Apple, with compensation packages rumored to exceed $100 million in some cases. Roming Pang, the engineer responsible for Apple’s foundational models team, is reportedly set to receive $200 million over four years.
The Llama crisis: Why Meta needed a change
The move came at a time when Zuckerberg was frustrated by Meta’s struggle to keep pace with rival AI labs. With the release of Llama 4 in April 2025, Meta’s crisis became apparent. Allegations of inflated performance metrics, a rushed launch, and a lack of transparency led many in the industry to declare Meta’s latest AI model a failure. Therefore, while Wang pursues superintelligence in the long term, he faces a difficult near-term task of revitalizing Meta’s current large language model efforts.
Why Wang? A leader, not a scientist
By choosing Wang, Meta selected an entrepreneur rather than a computer scientist. Most notably, the man leading Meta’s quest for superintelligence comes from a company that did not build large language models. However, admirers say he may be the missing ingredient to take Meta’s AI efforts to the next level. Alex Ren, founding managing partner at Fellows Fund, says Meta needed an entrepreneur to lead its AI organization—and found one in Wang. He adds: “Alex Wang is not a researcher, he is a leader.”
Conclusion: A bet that will determine Meta’s future
With annual revenues exceeding $164 billion, Meta knows full well that it takes something truly unique to move the needle in its business. In backing Wang and his team, Zuckerberg is betting that the ultimate payoff outweighs any straightforward ledger categories. Few companies can justify pouring billions into speculative AI research and assembling a roster of top-tier talent. But Meta can—and has. Whether this gamble will pay off remains uncertain. Yet, as one current Meta AI research scientist put it, if that group makes major leaps in artificial intelligence over the next six months, “everything can be justified.”
Frequently asked questions
What is Scale AI?
Scale AI is a company founded by Alexandr Wang that specializes in providing high-quality, labeled data for training artificial intelligence models. It plays a crucial behind-the-scenes role in the AI industry.
Is Wang’s resignation from Scale AI part of the deal?
Exact details have not been clarified, but Wang appears to be stepping into his new role at Meta while Scale AI continues to operate as a key partner. Meta’s massive investment ensures a close relationship between the two companies.
Can Meta really catch up to OpenAI?
That is the multi-billion-dollar question. Meta possesses massive resources (data, computing power, capital) that OpenAI lacks. The challenge lies in translating those resources into breakthrough innovation. Wang’s appointment is an attempt to achieve just that.
