Uber AI Expands Labeling Services to 30 Countries, Targets Major Clients

- Uber launches Uber AI Solutions globally amidst market shifts. - This expansion aims to attract major AI clients like OpenAI and Google. Uber has significantly expanded Uber AI Solutions, its AI data labeling services, a move that capitalizes on market shifts caused by Meta's recent investment in Scale AI. This expansion includes offering ready-to-use datasets (audio, video, images, and text) and licensing its internal platforms for managing data labeling projects. As a result, Uber AI Solutions now provides services in over 30 countries. On June 20, 2025, Forbes reported that Uber's expansion aims to attract clients such as OpenAI and Google. These major players are reportedly reconsidering their partnerships with Scale AI after Meta invested $14.8 billion in the company, a development prompting these clients to seek neutral data providers for their AI development. On June 20, an Uber press release announced that Uber AI Solutions has expanded its offerings, and Investing.com also reported on this expansion on the same day. These services now include a global digital task platform connecting enterprises with experts for AI-related tasks, and additionally, Uber AI Solutions introduced a new data foundry for training large AI models. On June 20, in an Uber press release, Megha Yethadka, GM and Head of Uber AI Solutions, stated that Uber leverages its platform, people, and AI systems to help other organizations build smarter AI more swiftly. Earlier, on November 26, 2024, Bloomberg Law News reported on Uber's initial foray into the AI training and data labeling sector, and BestofAI also highlighted this development around the same time. Uber reportedly conducted this work through its division, Scaled Solutions, which offered "coders for hire" and utilized Uber's gig-economy workforce for AI development projects for clients such as Aurora Innovation and Niantic. On June 19, 2025, Cointelegraph noted that OpenAI is phasing out its work with Scale AI, a move reportedly prompted by Meta's substantial investment in Scale AI, which raised concerns about visibility into competitors' AI development. Similarly, on June 18, 2025, The Economic Times reported that Google also plans to sever ties with Scale AI for similar reasons, and VnExpress International reported likewise on June 19. Furthermore, on June 20, AInvest reported that these decisions reflect a broader trend of companies increasingly seeking neutral data providers as their reliance on AI grows, a sentiment echoed by TECHi on the same day. Grand View Research reported in an updated market analysis that the global data collection and labeling market was valued at $3.77 billion in 2024 and is projected to reach $17.10 billion by 2030. Mordor Intelligence similarly reported market size estimates between $4.92 billion to $1.89 billion in 2025, with projections between $16.99 billion to $5.46 billion by 2030. Spherical Insights also reported market projections. On June 19, a report from Konceptual AI indicated an upcoming surge in AI investment, and a report from Empower on May 16, 2025, echoed this sentiment. These reports suggest major tech companies such as Meta, Amazon, Google, and Microsoft will invest between $300 billion and $320 billion in AI technologies and infrastructure in 2025. Further, on June 20, Tech Wire Asia reported that Amazon and Microsoft are among the heavy investors, with Amazon planning to spend $105 billion and Microsoft $80 billion. On June 18, The Economic Times, citing a UBS report from May 5, 2025, projected global AI spending to reach $360 billion in 2025.