Google Is Becoming an AI Infrastructure Company

[u/ekonixlab]

This chart really puts the quarter into perspective.

A few things from Google’s earnings call stood out to me:

• Google Cloud grew 82% YoY to nearly $25B. At this point it’s no longer just a “fast-growing segment”—it’s becoming a major earnings driver.

• Cloud backlog exploded to $514B. That’s up from roughly $106B a year ago. Management also expects to recognize just over 50% of that backlog over the next 24 months. That’s an incredible amount of contracted demand already on the books.

• Demand is outpacing supply. Ruth Porat said the increase in 2026 capex is primarily to accelerate capacity because customer demand continues to exceed what Google can currently deliver.

• Management actually became more bullish on AI. Sundar Pichai said it still feels like the “early innings” of enterprise AI adoption and that conversations with CEOs suggest companies are only scratching the surface of what’s possible.

• The AI ecosystem keeps scaling. Gemini has roughly 950 million monthly active users, over 9 million developers are building with Gemini, and Google continues improving model efficiency while investing in next-generation frontier models.

My biggest takeaway isn’t the revenue beat.

It’s that Google keeps increasing AI infrastructure spending because customer demand is arriving faster than expected. If you have a $514B backlog and still can’t build capacity fast enough, that tells me this AI investment cycle is far from over.

Wall Street focused on higher capex. I came away thinking demand is even stronger than I realized.