Scale AI Defends Independence Despite Meta’s Growing Stake – Who Really Pulls the Strings?
Scale AI insists it's calling the shots—even as Meta quietly gobbles up more equity. But in the high-stakes poker game of AI dominance, how long before the 'autonomous' facade cracks?
Behind the scenes: While Scale's leadership talks tough about independence, industry watchers note Meta's creeping influence. The social media giant now holds enough chips to reshuffle the board—if it chooses to play its hand.
The finance angle: Another 'arms-length' tech investment that smells suspiciously like a slow-motion acquisition. Wall Street's taking bets on when—not if—Zuckerberg flips the switch from 'strategic partner' to 'new boss.'
Droege vows to keep Scale AI’s customer data privacy rules and governance unchanged
Alexandr Wang, the 28-year-old co-founder and former CEO of Scale AI, has stepped down to lead a new superintelligence division at Meta. According to newly appointed CEO Jason Droege, fewer than a dozen of Scale’s 1,500 employees have followed Wang to his new post.
Wang will retain a seat on Scale’s board, but Meta will not gain any additional board representation. Droege emphasized that Scale’s data privacy policies and governance remain unchanged, assuring customers that internal, client-specific data remains inaccessible to the board.
Droege stated that they have implemented strict protocols to safeguard customers’ privacy and security — including their IP and data — and to prevent cross-sharing among clients.
Previously Scale’s chief strategy officer, Droege brings extensive Silicon Valley experience to his new role. He was a partner at Benchmark and earlier served as a vice president at Uber, where he helped launch Uber Eats.
Rising competition and customer concerns put pressure on Scale AI’s dominance
Scale has long dominated the data labeling market, supporting tech firms in analyzing the datasets needed to train AI models. The company reportedly brought in $870 million in revenue in 2024 and is on track to hit $2 billion this year.
But competition is intensifying. Rivals like Turing, Invisible Technologies, Labelbox, and even Uber are stepping in to meet the growing demand for high-quality training data, and they’re gaining traction.
The landscape is becoming even more challenging as customer interest shifts toward these emerging players. Some clients have expressed concerns over Meta’s deepening involvement with Scale, which may expose sensitive AI development processes.
As a result, major companies like OpenAI and Google have begun distancing themselves from Scale, according to sources familiar with the matter.
Scale AI expands its applications business
While data labeling remains a Core section of Scale’s operations, CEO Alexandr Wang Droege noted that the company is increasingly focused on growing its applications business — a division that delivers services built on top of existing foundation AI models.
According to Droege, this segment now generates nine-figure annual revenue, though he declined to give a precise figure. Clients include Fortune 500 firms across healthcare, education, telecommunications, and US government agencies.
Despite the company’s ties with Meta, Droege emphasized that Scale will continue supporting a wide range of AI models, not just Meta’s Llama.
As Meta vies with rivals like OpenAI, Google, and Anthropic for top AI talent, Droege acknowledged in a company message that Scale is undergoing a major transformation. He expressed confidence in the company’s future, citing the “enormous opportunity” ahead as AI adoption accelerates.
He also underscored Scale’s adaptability, pointing to its experience managing data across industries — from autonomous vehicles to generative AI, and from enterprise clients to government partners.
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