Even Google can’t get enough compute. I sit down with Google and Alphabet CEO Sundar Pichai shortly after the wider release of Gemini 4 Argon to discuss its early reception, where he still wants the model to improve, and what it takes to keep Google at the frontier of AI.
Pichai explains the recent leadership shakeup at Google DeepMind and why building frontier models has become an “all-consuming” job. We also get into Google’s answer to the personal agent race, how he predicts Gemini will do more work on your behalf, and whether agents will finally bring Search, Gmail, and Gemini together.
I ask him about Google turning free cash flow negative, the risks in the AI infrastructure buildout, and how he plans for demand years before knowing what the models will be capable of. He explains the signals giving him confidence to keep spending and how he uses AI agents to follow model development and compute usage inside Google.
We also discuss Project Suncatcher, Google’s new effort to put AI data centers in space, and why he thinks it belongs alongside bets like Waymo. He shares what’s next for Waymo and Wing, and when he expects quantum computing to become a real business.
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Episode highlights
Gemini 4’s early token usage is triple Gemini 3’s, but Google still needs to move faster. Pichai tells me Argon processed almost 25 trillion tokens in its first 72 hours, roughly three times what Gemini 3 handled in the same window last year. Even Google is running into capacity constraints, and he says more efficient versions are in development to expand access. When I ask how closely he follows the constant shifts in which lab is ahead, he says he pays attention to X but wants his teams thinking about being at the frontier a decade from now. “We didn’t get on this train recently,” he says. He also acknowledges that Google needed to pick up its release cadence this year and expects that faster pace to continue with Gemini 4.
He says DeepMind’s leadership shakeup reflects how consuming the frontier model race has become. I ask him about Demis Hassabis stepping back from day-to-day leadership, Koray Kavukcuoglu taking over, and Jeff Dean leaving to start Discovery Loop. His explanation is that frontier model development has become an “all-consuming thing,” spanning data, compute, research, and managing both people and AI agents. He says Hassabis wants to spend more time on AI safety and applying the technology to science and healthcare, including through Isomorphic Labs, while remaining involved as DeepMind’s chair. Pichai describes Dean’s departure as a chance to pursue something new with people he wanted to work with. When I ask whether the changes mean DeepMind is being pulled closer to the rest of Google, he says that integration has already been happening for years.
Google’s answer to Muse is a Gemini that keeps working after you stop chatting. When I ask about the personal agent race, Pichai says Google is bringing the capabilities behind its enterprise agents to consumers, including the ability to run tasks around the clock. His vision is “one box” that handles a conversation, a scheduled task, or work that needs to continue in the background. He says a growing share of Gemini requests already involve this kind of agent work and promises broader availability over the next few months. I also ask whether Search and Gemini will eventually merge. He says agents can provide a unified experience across Google’s products, carrying your context so you can start something in one place and pick it up in another.
He defends Google’s spending even as free cash flow turns negative. He points to demand across consumers and businesses, improving model capabilities, and long-term contracts with committed revenue. “It’s not just hope,” he says. The planning problem is that Google is living with compute decisions made two years ago while being judged against what everyone knows today. I push him on the fragility of AI infrastructure financing and whether the broader market is getting ahead of itself.
He sees data centers in space as a serious answer to Google’s long-term compute needs. I ask why Google is investing in Project Suncatcher when there are still deserts, oceans, and other places on Earth where it could build. Pichai points to the prospect of constant solar power in orbit and the constraints of finding room for decades of growing compute demand on the ground. He compares the project to Waymo’s early days, when imagining what it would become sounded like science fiction, and talks about a 10-to-20-year horizon. He says the first Suncatcher pilot is doing well. When we taped on Monday, he teased a “hello world” moment coming soon, when the world would get to “say hello to the TPUs.”
ICYMI
Sources is a newsletter and podcast by Alex Heath about the AI race, featuring conversations with leading founders and technologists. Every week, Sources reaches the inboxes of thousands of decision-makers in tech, finance, policy, and media.
