Meta has strengthened its artificial intelligence research team by hiring Luke Metz, a prominent researcher who recently worked at OpenAI. According to a source familiar with the move, Metz has joined Meta's Superintelligence Labs and is beginning work at the company this week. He will report to Alexandr Wang, who oversees Meta's artificial intelligence operations.
The appointment is the latest development in an increasingly competitive battle among major artificial intelligence companies to recruit experienced researchers. Leading AI laboratories, including Meta, OpenAI, Google and Anthropic, are competing for researchers with expertise in advanced model development, post training, machine learning and AI systems.
Metz has a notable history at OpenAI. During his earlier period at the company, he was involved with a research preview project that eventually became ChatGPT. In a public post after leaving OpenAI, Metz described working with colleagues on what was initially considered a low key research preview and said the team had not expected the product to reach hundreds of millions of users so quickly.
Metz left OpenAI in 2024 and joined Thinking Machines Lab, the artificial intelligence company founded by former OpenAI chief technology officer Mira Murati. His move to the startup made him part of a group of experienced AI researchers who left established laboratories to work on new frontier AI projects.
Earlier in 2026, Metz returned to OpenAI along with other former Thinking Machines researchers. Wired reported in January that Metz and other members of the Thinking Machines founding team had rejoined OpenAI. His return reflected the rapid movement of senior AI researchers between competing companies as firms sought to strengthen their research organisations.
His latest move to Meta represents another change in that increasingly fluid AI talent market. Metz's transition from OpenAI to Meta comes only months after his return to OpenAI, underscoring how quickly high profile researchers can move between frontier technology companies.
Meta has been building its Superintelligence Labs as part of a broader effort to strengthen its position in advanced artificial intelligence. The company has recruited senior researchers and engineers while investing heavily in AI infrastructure, model development and computing capacity.
Alexandr Wang has been central to that effort. After Meta's major investment in Scale AI, Wang moved into a senior role overseeing the company's AI activities. Metz will report to Wang as part of the Superintelligence Labs organisation.
The appointment is significant because AI researchers with experience at multiple leading laboratories are increasingly valuable to companies trying to accelerate development of advanced models. Such researchers can bring experience across model training, evaluation, post training and research engineering.
Meta's hiring strategy is also part of a wider effort to compete directly with OpenAI and other frontier AI companies. The company has been expanding its AI research organisation while introducing new AI models and integrating artificial intelligence into products such as Facebook, Instagram, WhatsApp and its Ray Ban smart glasses.
The competition for talent has become particularly intense because experienced AI researchers remain relatively limited in number. Researchers with direct experience building large language models or advanced AI systems are highly sought after, and companies are offering significant compensation packages and research opportunities to attract them.
Metz's career illustrates this trend clearly. He has moved between several of the industry's most closely watched organisations, including Google Brain, OpenAI and Thinking Machines Lab, before joining Meta. His background gives him experience across different approaches to frontier AI research.
The movement of researchers also has implications for smaller AI startups. New companies such as Thinking Machines Lab have attracted prominent researchers by offering the opportunity to build new systems from the ground up. However, established technology companies have greater financial resources and computing infrastructure, allowing them to compete aggressively for the same talent.
The continuing movement between laboratories is therefore becoming an important part of the AI industry's development. Companies are not only competing to build better models; they are also competing to assemble teams capable of developing those models.
For Meta, the addition of Metz could strengthen its research capabilities at a time when the company is seeking to close the gap with leading AI laboratories. His experience at OpenAI and his involvement in the early development of ChatGPT make him a notable addition to the organisation.
For OpenAI, Metz's departure is another example of the competitive pressure surrounding its research workforce. OpenAI itself has recruited researchers from rival organisations in recent months, demonstrating that the talent movement works in both directions.
The broader AI talent market is likely to remain highly competitive as companies increase spending on computing infrastructure and advanced research. The ability to attract and retain leading scientists and engineers could become just as important as access to computing resources and training data.
Metz's latest move also shows how quickly careers can evolve in the frontier AI sector. A researcher can move from an established laboratory to a startup, return to a major AI company and then join another technology giant within a relatively short period.
At present, Meta has not publicly disclosed detailed information about Metz's specific research responsibilities within Superintelligence Labs. However, his reporting line to Alexandr Wang confirms that he will be part of Meta's broader AI organisation.
The appointment is therefore another important development in the global competition for advanced AI talent. As Meta, OpenAI and other major laboratories continue to expand their research teams, the movement of prominent researchers is likely to remain closely watched by the technology industry.
Metz's transition from OpenAI to Meta highlights the rapidly changing landscape of artificial intelligence research and the growing importance of experienced talent in the race to develop increasingly capable AI systems.