That demand is growing quickly. The only responsible way to meet it is to build more compute, faster.

Our strategy has not changed because the reality has not changed: bringing the benefits of AI to more people requires more compute.

Compute is the critical input that makes advanced AI possible. It is what allows us to train better models, serve them reliably, improve performance, lower costs over time, and bring more powerful tools to more people. It is also the center of our AI flywheel: more compute enables better models, better models drive more usage, more usage improves products and revenue, and that allows us to reinvest in more infrastructure. The financing models and partnership structures may evolve, but what matters is capacity coming online at scale, on time, and in a way that preserves flexibility as technology and demand evolve.

We are doing this with partners because no single company can build the infrastructure for the Intelligence Age alone. Building AGI infrastructure at this scale requires coordination across the entire ecosystem: local communities, utilities, energy providers, chipmakers, cloud providers, neoclouds, construction firms, investors, skilled trades, and public sector partners.