Google's strategy isn't just to sell AI chips; it's a platform play. By offering its powerful and potentially cheaper TPUs to companies, Google can create a powerful incentive for those customers to run their entire AI workloads on Google Cloud, creating a sticky, integrated ecosystem that challenges AWS and Azure.

The competition for AI dominance has moved beyond chips to securing massive energy and infrastructure. Anthropic's new deal with Google for 3.5 gigawatts of power capacity highlights this shift. This single deal effectively created a multi-billion dollar business for Google, reframing the AI race as a battle for power plants.

In a significant strategic misstep, Google sold a large volume of its custom TPU accelerators to rival Anthropic. Immediately after, demand for Google's own Gemini model surged, leaving Google compute-constrained and trying to secure more capacity from a sold-out TSMC.

Google Cloud's impressive growth is attributed to servicing the massive compute needs of Anthropic, a company it heavily invested in. This highlights a circular dynamic where cloud providers fund AI companies, which in turn become their captive, high-margin customers for GPUs and TPUs.

The departures and role changes of key AI figures like Demis Hassabis and Jeff Dean signal a loss of confidence in Google's ability to compete in the AGI race, despite its foundational research contributions. Commentary suggests this is an expected but significant shakeup.

The departure of key figures like Jeff Dean and Demis Hassabis's role change are symptoms of a larger problem. Despite pioneering AI research and having immense resources, Google has consistently struggled to maintain momentum and translate its advantages into market leadership, raising questions about its internal structure and ability to compete.

Cloud providers like Amazon and Google benefit regardless of which AI model wins. By structuring deals as large-scale compute commitments in exchange for equity (e.g., with Anthropic), they profit from cloud usage fees, drive adoption of their in-house silicon, and gain visibility into data center capex recovery, effectively hedging their bets across the entire AI ecosystem.

Google's cloud division (GCP), incentivized to sell compute, is allocating scarce TPU chips to external customer Anthropic. This directly constrains Google's own AI lab, Gemini, hindering its progress in the hyper-competitive AI race and revealing significant internal friction between business units with conflicting goals.

By renting its massive data center to competitor Anthropic, Elon Musk's SpaceX (parent of xAI) is tacitly admitting a strategy shift. Instead of competing directly on model development, it's becoming a high-margin compute provider, akin to a "new CoreWeave," and ceding the AI race.