Alexandr Wang, Meta’s AI chief, emerges as potential successor to Zuckerberg

1–2 minutes

Who is Alexandr Wang?

Wang, 29, was born in New Mexico to two Chinese-American physicists. He graduated high school a year early, worked at Quora, and enrolled at MIT at 18, leaving after a year to start his own business. In 2016, he co-founded Scale AI with Lucy Guo, a company specializing in data preparation for training artificial intelligence models. Scale grew rapidly and, in June 2025, was acquired by Meta in a deal valued at over $29 billion, retaining its independence and giving Meta a minority stake. Wang remains on Scale’s board and was hired by Meta to lead its AI division.

Why is Wang seen as a successor?

The Financial Times highlighted Wang as a potential CEO candidate following Meta’s recent advances in artificial intelligence. The report cites Zuckerberg’s support—discussions about hiring him took place over several months in 2025—and Wang’s ability to organize teams and attract talent. His mission includes transforming the hiring of researchers into products that compete with rivals like OpenAI and Anthropic. Despite having no direct experience in model training, Wang has led a hiring drive and developed new solutions.

The boost from Muse Wonder

On October 12, 2025, Meta launched the Muse Wonder and Muse Wonder Full models, described as the company’s most capable to date. Wonder was integrated into the Meta Model API and Muse Code, while the Full version is available to subscribers. The model will also be incorporated into the Muse personal agent, expanding its ability to perform complex tasks. The launch reinforced Wang’s position and gave new momentum to Meta’s AI strategy.

Market context

Meta’s bet on Wang and the new models comes amid intense competition with OpenAI and Anthropic. The company aims not only to recover lost ground in artificial intelligence but also to demonstrate that it can offer solutions for both consumers and developers. The $14.3 billion deal with Scale AI is part of this strategy and reflects Meta’s investment in data infrastructure, a key pillar for advancing AI systems.

Wang remains director of artificial intelligence and leader of Meta Superintelligence Labs, a position he has held since joining the company.