Meta invests $14.3 billion in Scale AI, hires Alexandr Wang

Meta has agreed to invest $14.3 billion in Scale AI for a 49% stake in the artificial intelligence data company. The deal values Scale at more than $29 billion and comes with an even more significant move for the industry: its founder and CEO, Alexandr Wang, will step down from the role to join Meta.

Wang will work in Meta’s new lab dedicated to so-called superintelligence, the term the industry uses for hypothetical systems capable of far surpassing humans at most intellectual tasks. There is currently no consensus technical definition or system that has achieved that goal, but the name reflects the ambition behind Mark Zuckerberg’s plans to reorganize the company’s AI race.

Meta buys a key stake, not all of Scale AI

The deal is not a full acquisition. Meta will take a minority stake of 49%, while Scale AI will formally remain independent. Wang will stay involved with its board of directors, and Jason Droege, the company’s current head of strategy, will become CEO.

The distinction matters. Scale AI has become one of the most important companies in a less visible but essential layer of artificial intelligence: preparing, labeling and evaluating data used to train and test models. Its services range from human review of assistant responses to complex datasets for programming, science, autonomous vehicles and defense.

Large models do not improve simply by adding computing power. They also need carefully selected data and rigorous evaluations to identify errors, biases or dangerous responses. As the supply of high-quality public data dries up, that specialized human work has become more valuable. Scale’s valuation comes at a time when that specialized human work has gained value.

Alexandr Wang, from data provider to Meta lab

Wang founded Scale AI in 2016 and became one of the youngest and most recognizable business figures of the generative AI boom. His departure from the CEO role shows that Meta is not seeking only a commercial relationship with Scale: it wants to bring in a founder with experience in data, technical recruiting and relationships with leading model developers.

Meta already has FAIR, its long-standing AI research organization, as well as the teams responsible for Llama, its family of open models. However, Zuckerberg has acknowledged in recent months that the company needs to move faster. In April, Meta raised its 2025 capital expenditure forecast to between $64 billion and $72 billion, largely because of data centers, servers and computing capacity for AI.

The new lab adds another piece: an organization focused on building more capable systems, with room to recruit researchers and engineers from outside the usual product teams. Wang’s hiring signals that the strategy will not be limited to releasing new versions of Llama.

Scale’s neutrality comes under pressure

Scale has worked with a wide range of technology companies and public agencies. Its role as a supplier to different labs was one of its biggest advantages: it could sell tools and specialized labor to competitors.

Meta’s entry now raises a practical question for those clients. Although Scale will remain a separate company on paper, Meta will hold a 49% minority stake and employ its founder. Rivals will have to decide whether they are comfortable continuing to share workflows, evaluations and data needs with Scale when those may be strategically sensitive.

That does not mean Meta will automatically gain access to confidential customer data. Contracts, operational separations and confidentiality obligations remain decisive. But the perception of neutrality is a commercial asset, and it will be harder to preserve with one of the largest model developers as a partner holding a significant stake.

A new formula for competing for talent

The structure also illustrates how the competition for AI talent is changing. Big tech companies are no longer just hiring individual researchers or buying entire companies. Massive minority investments can secure talent, expertise and partnerships without formally absorbing the whole company.

For Meta, the deal offers a fast way to strengthen its push into frontier systems. For Scale, it provides capital and a valuation far above those of its previous funding rounds, but it also requires the company to prove it can remain a credible partner for the rest of the market.

The next indicator will be the makeup of the lab Wang leads and its relationship with the Llama and FAIR teams. Meta has put a figure on the table more typical of an acquisition; now it will have to turn that investment into visible technical progress and products that can compete with OpenAI, Google and Anthropic.