Born in January 1997 in Los Alamos, New Mexico—a city etched in history as the birthplace of the atomic bomb—Alexandr Wang seemed destined for a life at the cutting edge of science. His parents, Chinese physicists, worked at the famous national laboratory, surrounding him with the language of equations and experiments from childhood.
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By his teens, Wang was already a rising star in mathematics and computing. He became a finalist in the USA Computing Olympiad, joined the Math Olympiad Program, and even represented the US in physics competitions. He finished high school a year early and, instead of taking the summer off, plunged straight into Silicon Valley. Before his 18th birthday, he had already worked as a software engineer at Addepar and a technical lead at Quora.
From MIT dropout to founder
Wang’s next stop was the Massachusetts Institute of Technology. But while most students struggled through freshman calculus, he was already tackling graduate-level courses in machine learning. He even developed an iPhone app, Ava, to streamline medical appointments.
Then came a pivotal conversation with Eric Wu, CEO of Opendoor. Why waste years in classrooms, Wu suggested, when the real action was in building? Inspired, Wang left MIT after his first year. What began as a “summer project” turned into Scale AI, the company that would transform him into one of tech’s youngest power players. Backed by Y Combinator, then led by Sam Altman, Wang and co-founder Lucy Guo began the grind of startup life—long nights, limited cash, and air mattresses in the office.
Building the backbone of modern AI
Scale AI’s premise was deceptively simple: artificial intelligence can only advance if it’s fed vast amounts of clean, structured data. The company took on the unglamorous task of annotating everything from images and videos to 3D sensor data, ensuring algorithms had the raw material to learn.
Need a self-driving car to spot a pedestrian in the rain? Scale AI provides the training data. Want a language model to parse complex sentences? They deliver meticulously labelled text. The company blends automation with human input and layers of quality control, making its datasets gold-standard material.
Today, Scale AI is indispensable. Its client list reads like a roll call of the tech elite: Meta, Microsoft, OpenAI, and NVIDIA. In fields like autonomous driving and natural language processing, Scale AI has become the silent force powering breakthroughs.
The billionaire at 24
Wang’s foresight didn’t just make him influential; it made him spectacularly wealthy. By 2021, at just 24, he became the world’s youngest self-made billionaire, with Scale AI valued at over $7 billion. Unlike many wunderkinds, his fortune wasn’t built on hype but on solving one of AI’s most pressing bottlenecks: reliable data.
Zuckerberg’s new AI chief
In June 2025, Wang’s trajectory took another dramatic leap. Meta named him its first-ever Chief AI Officer, acquiring nearly half of Scale AI in a $14.3 billion deal. At the heart of the move was the creation of Meta Superintelligence Labs (MSL), tasked with pushing beyond today’s large language models toward systems that could one day surpass human intelligence.
Wang has assembled a dream team of engineers and researchers, charged not only with advancing cutting-edge models but also with integrating AI across Meta’s products—from the Llama family of models to the social platforms billions use daily.
Mark Zuckerberg, whose ambitions in AI are nothing short of colossal, clearly sees Wang as his most important ally in the race against rivals like OpenAI and Google DeepMind. The stakes are enormous: whoever leads in artificial general intelligence could reshape the future of work, communication and even society itself.
The test ahead
For Alexandr Wang, the story is only beginning. The boy from Los Alamos who once slept on an air mattress while coding through the night now holds the keys to one of the most ambitious AI programmes on the planet. Whether he can turn Meta into the front-runner in the superintelligence race remains to be seen.
But one thing is clear: in a world increasingly driven by algorithms, Wang is no longer just a rising star. He’s rewriting the rules of the game.
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