AIMPACT News: On May 15 (UTC+8), according to monitoring by Beating, nearly a year after Meta invested $14 billion to acquire a 49% stake in Scale AI and recruited its founder Alexandr Wang, current CEO Jason Droege disclosed that the company’s revenue this year is projected to exceed $1 billion. To reduce dependence on a single business line, Scale’s core strategy is shifting from data labeling to developing internal AI applications for enterprise and government clients. This segment has already generated $200 million in annualized revenue, and Droege expects it to surpass data labeling as the company’s largest revenue source within 18 months. Although last June’s acquisition deal secured Scale a five-year contract worth at least $450 million annually from Meta, it also caused the company to lose OpenAI—the very client that originally propelled its growth. Due to concerns over Meta’s minority stake, competitors have indicated that Scale has recently been marginalized in bidding for data labeling contracts. Droege responded that the accelerated transition is not due to client rejection, but because the overall growth rate of the data labeling market is slowing, while demand from large enterprises for AI transformation services is just beginning to open up. Under this new strategy, Scale’s application business is progressing rapidly: it has secured enterprise clients such as EY and the Mayo Clinic, and won major government contracts. Last week, the U.S. Department of Defense awarded Scale a $500 million contract for Project Thunderforge to integrate AI agents into military mission planning. Last month, Scale was also selected alongside companies like Palantir for the Golden Dome missile defense program, with a total budget of $185 billion. Investor Coatue believes that Scale’s unique advantage—combining large model training expertise with proven enterprise and government deployment capabilities—is what sustains its high valuation and continues to drive its path toward an IPO. (Source: BlockBeats)
Scale AI revenue is expected to surpass $1 billion in 2026 as enterprise AI applications expand.
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Scale AI’s CEO Jason Droege said the company’s revenue is expected to exceed $1 billion in 2026, driven by enterprise AI applications. Following Meta’s $14 billion investment in June 2025, the company is shifting from data labeling to developing internal AI tools for government and enterprise clients. The enterprise business, currently generating $200 million in annualized revenue, is projected to surpass data labeling within 18 months. Scale recently secured a $500 million contract with the U.S. Department of Defense for Project Thunderforge and joined Palantir in a $185 billion missile defense initiative. As Bitcoin gains traction as a hedge against inflation, companies like Scale are reshaping enterprise AI strategies. MiCA (EU Markets in Crypto-Assets Regulation) is also compelling firms to align with global compliance standards.
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