Scale AI’s shock $15 billion deal to sell a 49% stake to Meta, with its CEO Alexandr Wang leaving the startup he founded to lead a new AI lab at the tech giant, has sparked fears that the startup’s $14 billion-valued data labeling business could lose clients to competitors. At play is the concern that Scale, which has been the dominant player in labeling data to help major tech companies and AI startups train their models, could share details about the types of data that leading AI players have used to build their most cutting edge tech with Meta. As one former Scale employee told Forbes: “They all want to cut Scale off now. Scale as a business, once it becomes part of Meta, entirely collapses.” OpenAI, one of its most prominent customers, has already been winding down its work with Scale, according to four sources with knowledge of its business; two sources said this has been happening for months and OpenAI has been vetting potential new partners. Scale AI initially declined to comment, but after publication, spokesperson Joe Osborne denied that OpenAI has pulled back its spending with the company. The surprise deal, which would value the company at $28 billion, left people inside Scale scrambling and confused, one former employee said. Some staff are concerned over what visibility Meta might have into past projects, even though most contracts with the company stipulate data be deleted after projects are completed, the person said. Forbes has learned that Meta intends to pay Scale at least $450 million a year for five years for its AI products, or more than half of its annual AI spend, whichever is less, according to a person who worked on the deal. That commitment from Meta would make up a major part of Scale’s revenue. Last year, Scale generated $870 million in revenue, largely driven by demand for its data labelling services. Scale declined to comment on the figures and Meta did not respond to a request for comment. Scale’s smaller rivals are already jostling for position, and are welcoming any clients worried about conflicts of interest when it comes to data and privacy. “We're already seeing a huge influx of demand from customers that are phasing out of Scale AI,” said Brendan Foody, CEO of $2 billion-valued Mercor. Invisible Technologies cofounder Francis Pedraza told Forbes his company is committed to staying independent. Startup Turing, which already supplies data for model training to OpenAI, Anthropic and Google, sees the deal as an opportunity to be “Switzerland” and become an impartial distributor of data to the frontier AI labs. CEO Jonathan Sidharth told Forbes that “clients want to work with someone neutral who could support all the labs equally.” One investor who has backed a Scale competitor said the deal would create new avenues for other firms to “capture the open space left by Scale AI.” Read the full story on Forbes. |