Sundar Pichai Says Google’s AI Era Is Only Just Beginning
From Gemini 3 to quantum dreams, vibe-coding revolutions and space-based data centres, Pichai lays out Google’s next decade
Google’s latest conversation with Sundar Pichai feels less like a product update and more like a state-of-the-union for the company’s artificial intelligence ambitions. Across the interview, Pichai charts the rise of Google’s full stack, reflects on the rollout of Gemini 3 and Nano Banana Pro, and hints at a future where AI is woven into everything from search to space infrastructure.
Gemini Everywhere
Pichai says shipping Gemini 3 across Google’s products has been a surreal milestone. The model, released alongside Nano Banana Pro, has been warmly received and reflects years of deep investment. He describes the launch as the result of “shipping something every day,” a rhythm he believes now defines Google.
The full-stack strategy adopted when Google declared itself an AI-first company in 2016 is paying off. Breakthroughs at every layer, from custom chips to model architecture, now surface directly in consumer products. That includes generative interfaces for search and new capabilities across YouTube, cloud and Android. Pichai views the stack as multiplicative, because once the infrastructure exists, thousands of developers can build on it.
Nano Banana Pro and a Burst of Creativity
Nano Banana Pro has been an unexpected hit. Pichai highlights its ability to turn messy, complex information into clean infographics and digestible visuals. He argues the model is unlocking creative capacity in users who never saw themselves as designers.
Its success is proof, he says, that people want simpler ways to create and that the right tools reveal new forms of imagination.
Life at Launch Speed
Launch days are a blend of dashboards, feedback loops and real conversations. Pichai spends them absorbing user reactions, tracking adoption and speaking with teams to understand what is working and what needs attention.
His favourite place to do that is the Blue Micro Kitchen, a DeepMind-adjacent hub that he says feels like early Google, with engineers, researchers and leaders swapping ideas over precisely pulled espressos. He even suggests replicating these spaces across offices to bring more people back on site.
Scaling for the Gen AI Moment
A key challenge has been compute. Google had to scale capacity at speed to meet the generative AI surge. Pichai says the company is now on the other side of that push, with teams moving faster than at any point he can remember.
Gemini’s simultaneous rollout across search, YouTube, cloud and Android is the clearest sign of that acceleration. He calls it one of the most complex coordination feats Google has ever attempted.
Quantum, Robotics and Data Centres in Space
When the conversation shifts to long-term bets, Pichai is direct. Quantum computing is on the roadmap and he believes it could eventually rival AI in transformative potential. Robotics, drone delivery and more speculative ideas, such as placing TPUs in orbit, are also in active development.
He even floats the idea of building data centres in space. Pichai admits it sounds wild today, but believes it may make sense sooner than people expect.
The Rise of Vibe Coding
One of the most interesting themes in the interview is Pichai’s enthusiasm for what he calls vibe coding. He sees it as a cultural shift similar to the rise of blogs or YouTube, which made writing and filmmaking accessible to millions. Tools like Gemini 3 already allow non-coders to build software through conversational prompts.
Pichai believes vibe coding will teach a new generation to think creatively and computationally at the same time.
What Comes Next
Looking ahead, Pichai says the Gemini roadmap is full, and the company plans to continue releasing new versions every six months. Products like Flow already have passionate communities, and the next wave of AI tools will widen access even further.
Pichai’s message is straightforward. Google believes it is at the beginning of a long arc of transformation. If his predictions hold, the next decade of AI at Google will make the last one look slow.