Alexandr Wang
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Alexandr Wang is an American entrepreneur and technology executive who co-founded Scale AI in 2016 and built it into one of the largest suppliers of training data and model evaluation for artificial intelligence. [1][2] He dropped out of the Massachusetts Institute of Technology to start the company and became, in 2021 at age 24, one of the youngest self-made billionaires in the world. [3][4] In June 2025 Meta invested 14.3 billion dollars for a 49 percent stake in Scale AI, and Wang left the chief executive role to join Meta as its first Chief AI Officer, leading a new unit called Meta Superintelligence Labs. [5][6]
Wang is known for arguing that high-quality human-labeled data is a limiting input for modern AI systems, and for advocating that the United States government invest heavily in the technology to compete with China. [7][8] He has testified before Congress on government adoption of AI and has spoken at international forums on the geopolitics of the field. [1][9]
Wang was born in January 1997 in Los Alamos, New Mexico. [1] His parents were physicists at Los Alamos National Laboratory, the federal weapons research facility, and had immigrated from China. [1][3] He grew up in the small laboratory town, learned the violin, and showed early aptitude in mathematics and computing. [1] As a teenager he competed in national contests, qualifying for the United States Physics Team and reaching the finals of the USA Computing Olympiad. [1]
Wang taught himself to program and worked as a software engineer while still young, including a stint as a programmer at the question-and-answer site Quora and time at the wealth management firm Addepar. [1][10] He was admitted to MIT, where he intended to study mathematics and computer science, and he also held an internship at the high-frequency trading firm Hudson River Trading. [1][10] He attended MIT for about a year before leaving in 2016 to start Scale AI. [1][2]
Wang co-founded Scale AI in 2016 with Lucy Guo, whom he had met while working at Quora. [1][11] The pair started the company through the Y Combinator accelerator. [4][11] Guo left in 2018 after differences over the company's direction, while Wang stayed on as chief executive. [11]
Scale's core business was data labeling, the work of annotating images, text, sensor readings, and other inputs so that machine learning models can be trained on them. [1][2] The company combined software tooling with large pools of human annotators and sold the resulting datasets to firms building AI systems. Early customers included companies developing self-driving cars, which needed labeled camera and lidar data. As large language models grew, Scale expanded into producing data for reinforcement learning from human feedback and into evaluating model outputs, work that placed it close to the training pipelines of leading AI labs. [2][12]
Scale also pursued government and defense contracts. The Pentagon's Chief Digital and Artificial Intelligence Office hired the company to help test and evaluate large language models for military use, and Scale won other work with the United States armed forces. [1][13] Wang positioned the company as a contributor to American national security, a theme he returned to in public statements. [7][8]
The company's valuation climbed through several funding rounds. It reached about 7.3 billion dollars in 2021, a level that, with Wang's roughly 15 percent ownership, briefly put his net worth above 1 billion dollars and made him one of the youngest self-made billionaires on record. [1][3] In 2024 Scale raised about 1 billion dollars at a valuation near 14 billion dollars, and Wang said he expected revenue to grow sharply. [14] Reporting in 2025 placed the company's annual revenue around 870 million dollars for 2024, with internal projections approaching 2 billion dollars for 2025. [12][14] By 2025 Scale counted major AI developers and the United States military among its customers. [12][13]
As Scale grew, Wang became a visible figure in the AI industry and a commentator on its direction. He was named to the Forbes 30 Under 30 list in enterprise technology, appeared on Time's lists of influential and emerging figures in the field, and spoke at conferences and policy events. [1] During the COVID-19 pandemic he shared a house with Sam Altman, the chief executive of OpenAI, a detail often cited to illustrate his place in the close-knit circle of San Francisco AI leaders. [1]
Wang argued repeatedly that the supply of high-quality data, not only computing power or algorithms, sets the pace of progress in AI, a view that aligned with Scale's business. [2][12] He framed data work as infrastructure for the wider industry rather than as a peripheral service. [2]
In June 2025 Meta reached an agreement to invest 14.3 billion dollars in Scale AI in exchange for a 49 percent stake, a transaction that valued the company at about 29 billion dollars. [5][6][15] According to reporting by Reuters and confirmed by Scale, Meta took a minority position and did not receive voting control. [6][15] As part of the deal Wang stepped down as chief executive of Scale and joined Meta to lead its AI work, while remaining a director on Scale's board. [5][6] Scale named Jason Droege, its chief strategy officer and a co-founder of Uber Eats, as interim chief executive. [6][5]
At Meta, Wang became the company's first Chief AI Officer and took charge of a newly created organization named Meta Superintelligence Labs. [5][16] According to Fortune, Mark Zuckerberg, Meta's chief executive, had begun meeting regularly with Wang in spring 2025 and described him as the most impressive founder of his generation. [16] Reporting indicated that Zuckerberg recruited Wang after dissatisfaction with the reception of Meta's Llama 4 model and that he planned to spend heavily on computing infrastructure for the effort. [16] The new lab drew other senior hires, including the former GitHub chief executive Nat Friedman and Daniel Gross of Safe Superintelligence, along with researchers recruited from rival firms, sometimes with large compensation packages. [16]
The deal drew immediate scrutiny over conflicts of interest. Within weeks, several of Scale's largest customers, including Google and OpenAI, said they would wind down their work with the company, citing concern that a rival, Meta, now held a large stake and might gain visibility into their research. [17][18] Scale's executives said the company would not share confidential customer information with Meta and that Wang would not be involved in day-to-day operations, but major clients moved away regardless, and the company laid off a portion of its workforce later in 2025. [17][18]
Wang has been an outspoken advocate for American leadership in artificial intelligence. In January 2025 he placed a full-page open letter addressed to President Donald Trump in a national newspaper, declaring that America must win the AI war and setting out a multi-point plan for the federal government to invest more in the technology. [7][8] He attended Trump's second inauguration that month. [1]
At the World Economic Forum in January 2025 Wang spoke about the competition between the United States and China, focusing on the Chinese developer DeepSeek and its release of the DeepSeek-R1 reasoning model. [9][19] He said the model showed that China had rapidly narrowed the gap with American systems and estimated, in widely quoted remarks, that DeepSeek had access to a large fleet of advanced chips, comments he used to question the effectiveness of United States export controls. [19] He disputed the idea that China held an unbeatable advantage in data, arguing that the United States government, especially in national security, held large datasets that could become a source of advantage if used. [9] He also called for the United States to expand energy production to power AI computing and urged the government to adopt AI more aggressively in its own operations. [9]
Colleagues and investors have described Wang as an unusually capable recruiter and commercial operator. The investor Sarah Guo called him exceptionally smart and ambitious, and former Scale managers credited his skill at building teams and winning customers. [16] Observers also noted that he is an entrepreneur rather than a research scientist, and some questioned whether a non-researcher could lead and inspire the academic talent inside Meta's AI organization. [16]
The scale of the Meta investment and Wang's compensation prompted debate about how much value individual AI leaders command and about the consolidation of talent and capital among a few large companies. [16][6] The departure of Scale's customers after the deal was cited as an example of how closely the major AI developers guard their data and research, and of the difficulty of remaining a neutral supplier once a rival holds a large equity stake. [17][18]
| Item | Detail |
|---|---|
| Full name | Alexandr Wang |
| Born | January 1997, Los Alamos, New Mexico, United States |
| Parents | Physicists at Los Alamos National Laboratory |
| Education | Los Alamos High School; attended MIT (mathematics and computer science), left after about one year |
| Known for | Co-founding Scale AI; leading Meta Superintelligence Labs |
| Company co-founded | Scale AI (2016, with Lucy Guo) |
| Role at Scale AI | Chief executive 2016 to 2025; board director from 2025 |
| Role at Meta | Chief AI Officer; head of Meta Superintelligence Labs (from June 2025) |
| Meta investment in Scale AI | About 14.3 billion dollars for a 49 percent non-voting stake; Scale valued at about 29 billion dollars |
| Net worth milestone | Surpassed 1 billion dollars in 2021 at age 24; Forbes estimated about 3.6 billion dollars in April 2025 |
| Recognition | Forbes 30 Under 30; Time lists of influential figures in AI |