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Zhao's appointment as chief scientist at Meta’s Superintelligence Lab signals the company’s aggressive pursuit of cutting-edge AI research, drawing on his role in developing groundbreaking technologies like ChatGPT.
Meta Platforms (META.O) has appointed Shengjia Zhao, co-creator of ChatGPT and GPT-4, as the chief scientist of its newly established Superintelligence Lab. The appointment was announced by CEO Mark Zuckerberg on Friday, marking a significant step in Meta’s ambitious push into advanced artificial intelligence.
Why it Matters
The hiring of Zhao underscores Meta's commitment to closing the gap with leading AI players like OpenAI and Google. As co-creator of ChatGPT and several other influential models, Zhao brings unparalleled expertise to Meta’s Superintelligence Lab, which aims to advance research in artificial general intelligence (AGI) and enhance the company’s existing Llama models.
Key Risks
Despite the strategic value of Zhao's appointment, Meta faces significant challenges. The underwhelming performance of its Llama 4 model has raised concerns about the company’s ability to compete with established AI giants. Additionally, the intense talent arms race in the AI sector is driving up costs, as Meta offers some of Silicon Valley’s most lucrative pay packages and invests heavily in startup deals to attract top researchers.
The broader market dynamics also pose risks. Competitors like Google and Microsoft are rapidly advancing their own AI capabilities, and regulatory scrutiny over AI development continues to intensify. Meta must navigate these challenges while maintaining a focus on innovation and ethical AI practices.
The Opportunity
Zhao’s appointment presents a unique opportunity for Meta to accelerate its AI research and development. Working directly with CEO Mark Zuckerberg and Chief AI Officer Alexandr Wang, Zhao will set the research agenda and scientific direction for the Superintelligence Lab. This alignment at the highest levels of leadership can drive more cohesive and strategic AI initiatives.

The lab operates separately from FAIR (Facebook AI Research), Meta’s established AI research division led by deep learning pioneer Yann LeCun. This dual structure allows Meta to pursue both incremental advancements in current models and long-term AGI goals, potentially leading to breakthroughs that could redefine the tech landscape.
Background on Shengjia Zhao
Zhao is a former research scientist at OpenAI, where he co-created ChatGPT, GPT-4, and several mini models. His move to Meta is part of a broader trend of researchers transitioning from OpenAI to other tech giants. This exodus has been fueled by Meta’s aggressive hiring strategy, which includes offering substantial bonuses and equity incentives.
Meta’s AI Strategy
Meta’s Superintelligence Lab was recently launched to consolidate work on its Llama models and pursue long-term AGI ambitions. The lab is a critical component of Zuckerberg’s vision for the company, which he has described as building “full gene” AI systems capable of understanding and interacting with the world in more sophisticated ways.
The appointment of Zhao and other top researchers from OpenAI reflects Meta’s commitment to leveraging cutting-edge talent to drive innovation. By investing heavily in AI research and development, Meta aims to position itself as a leader in the rapidly evolving field of artificial intelligence.
Conclusion
Meta’s strategic move to appoint Shengjia Zhao as chief scientist of its Superintelligence Lab is a significant step towards achieving its ambitious AI goals. While challenges remain, the alignment of top talent with clear leadership and substantial resources positions Meta well for future success in this critical technology domain.
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About the author
Marcus began tracking AI's market implications in 2016, noticing AI-related patent filings accelerating ahead of earnings upgrades before most of the sell-side had caught on. A former fixed-income quantitative analyst, he spent two decades building models that priced risk across emerging markets before pivoting to cover the economic impact of AI full-time. His writing translates opaque technical developments into clear risk/reward terms — and he's rarely diplomatic about the gap between AI valuations and underlying fundamentals. He believes most market participants still underestimate AI's long-run deflationary effect on knowledge work.
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28 July 2025
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