Anthropic hired five Google infrastructure engineers in the past two months, the clearest sign yet that the AI safety company is trying to solve a problem it has carried since its founding: its most capable models run on Google's custom AI chips, and there is no equivalent alternative at the scale it needs. The hires, reported by CloudNews, include Winnie Leung to lead data center infrastructure, Liwen Mao for data center design, Adam Johnson in electrical engineering, Zach Miller in operations, and Sana Ouji, formerly a strategic investments and energy alliances executive for data centers at Google, who joined Anthropic's new energy team in March. All five are Google alumni.
The hiring is Anthropic's response to a dependency that its $40 billion relationship with Google has made urgent. Google wrote Anthropic a check for $10 billion this week, with another $30 billion contingent on performance targets, per Reuters. The investment, at a $350 billion valuation, is separate from prior cloud compute agreements. But it arrives as Anthropic is also deepening the very dependency that its founding mission was supposed to prevent.
Anthropic was founded by former OpenAI researchers who broke away to build AI systems with fewer commercial incentives than the industry standard. It built the Long-Term Benefit Trust, a special share class designed to prevent any investor from redirecting the company's mission toward their own commercial goals. The Trust was designed before any single investment exceeded ten figures. It can constrain investor behavior in theory. It has no mechanism to govern what happens when a backer's commercial interests and Anthropic's model capability roadmap pull in different directions.
Google is both Anthropic's largest strategic backer and a direct competitor in foundation models through Gemini, Google's own AI system. Anthropic's commercial pitch to enterprise customers rests on vendor neutrality: when a company chooses Claude, the choice is supposed to rest on model quality and safety credentials, not on whose commercial interests align with the model's maker. Claude runs on Amazon Web Services, Google Cloud, and Microsoft Azure with no exclusivity to any single provider. That is the commercial promise. Amazon has invested $8 billion in Anthropic, more than double Google's confirmed $3 billion equity stake, and nobody frames that as Amazon owning Anthropic. Amazon Web Services does not sell a competing AI model. Google does, through Gemini.
Google has held roughly 14 percent of Anthropic per legal filings from early 2025, a stake that predates the current investment structure. Nick Patience, an analyst at The Futurum Group, described the tension in an April 13 note: "Google is not a neutral infrastructure partner. It is a direct competitor in foundation models through Gemini, and it has a structural interest in keeping Anthropic capable enough to validate Google Cloud as an enterprise AI platform without letting Anthropic become an independent threat."
Anthropic's answer is to build its own infrastructure. In November 2025, the company announced a $50 billion investment in U.S. computing infrastructure alongside Fluidstack, a computing infrastructure company, with facilities in Texas and New York designed for maximum energy efficiency. The hires and the Fluidstack investment are the only answer Anthropic has to a problem the Trust was never built to solve.
Anthropic is targeting an IPO at a valuation private markets are placing between $400 billion and $500 billion, with Goldman Sachs and JPMorgan advising on the listing, per Bloomberg. At that capitalization, the question the Trust cannot answer becomes a public one: can Anthropic build enough of its own infrastructure, fast enough, to reduce a hardware dependency that exists at the precise intersection of its biggest backer's commercial interests and its most direct competitor's product roadmap?