Anthropic has lined up a Google-backed $35 billion private-credit package to lease and operate more than 1 GW of U.S. data center capacity, reported June 12, 2026. The deal shifts Anthropic toward directly running its own infrastructure ahead of a planned IPO and deepens its reliance on Google’s TPUs and guarantees.
This article aggregates reporting from 2 news sources. The TL;DR is AI-generated from original reporting. Race to AGI's analysis provides editorial context on implications for AGI development.
This financing package is essentially Anthropic’s declaration that it wants to sit in the same infrastructure league as hyperscale cloud providers rather than merely rent from them. A $35 billion, Google-anchored data center buildout at 1+ GW scale gives Anthropic dedicated, long-term access to the scarce training and inference capacity that now defines the AI hierarchy. In the race to AGI, ownership and control of compute have become as strategic as model quality, because they determine how fast you can iterate, how cheaply you can serve, and how insulated you are from rivals’ pricing power. ([ainexusdaily.com](https://www.ainexusdaily.com/article/google-backs-anthropic-35-billion-data-center-expansion-ipo))
The deal also tightens the knot between Anthropic and Google. By guaranteeing leases and supplying TPUs, Google effectively becomes both Anthropic’s landlord and chip vendor, creating a vertically integrated financing model reminiscent of how the cloud majors built their own fleets. That raises real competitive questions for other labs that still depend heavily on third-party clouds, and for regulators worried about concentration of AI compute under a handful of tech conglomerates. If Anthropic can successfully multi-source between TPUs, Nvidia GPUs and other accelerators while owning its data center footprint, it will have one of the most resilient hardware stacks in the field—an asset that can accelerate AGI-scale experimentation while making future policy interventions more complicated.


