Jensen Huang, the chief executive of Nvidia, was in London speaking to a room of reporters when he made his enthusiasm for Gemini’s Nano Banana plain. “How could anyone not love Nano Banana? I mean Nano Banana, how good is that? Tell me it’s not true!” he said to no audible reply. “Tell me it’s not true! It’s so good. I was just talking to Demis [Hassabis, CEO of DeepMind ] yesterday and I said ‘How about that Nano Banana! How good is that?’”
That excitement appears to be shared by many users. The Nano Banana image tool, which launched in August and lets people make precise edits to AI-generated images while keeping faces, animals, and other background objects intact, helped trigger a rush of activity for Gemini: a 300 million–image bump in the early days of September, according to a post on X by Josh Woodward, VP of Google Labs and Google Gemini.
Huang arrived in the UK amid a flurry of tech investment announcements. Nvidia was among several major U.S. firms to unveil plans targeting data centers, supercomputers, and AI research in the country this week, and the mood at his press stop was upbeat. He was due to attend a white-tie dinner with UK prime minister Keir Starmer and joked about his outfit plans — custom black leather tails — as he talked about Britain’s prospects in AI.
He argued that the UK understates its strengths. He pointed to the nation’s role in the industrial revolution, steam trains, DeepMind, and its universities, plus a range of complementary skills. “No one fries food better than you do,” he quipped. “Your tea is good. You’re great. Come on!”
Nvidia also revealed a $683 million equity investment in data-center builder Nscale this week, a commitment that, combined with funding from OpenAI and Microsoft, puts the firm at the center of a growing AI push in Britain. Huang predicted Nscale would produce more than $68 billion in revenue over six years. “I’ll go on record to say I’m the best thing that’s ever happened to him,” he added, referring to Nscale CEO Josh Payne.
His remarks turned to how he personally uses AI every day. “As AI services get deployed—I’m sure that all of you use it. I use it every day, and it’s improved my learning, my thinking. It’s helped me access information, access knowledge a lot more efficiently. It helps me write, helps me think, it helps me formulate ideas. So my experience with AI is likely going to be everybody’s experience. I have the benefit of using all the AI—how good is that?”
Huang described practical tools that have changed his workflow. “I really like using an AI word processor because it remembers me and knows what I’m going to talk about. I could describe the different circumstance that I’m in, and yet it still knows that I’m Jensen, just in a different circumstance,” Huang explains. “In that way it could reshape what I’m doing and be helpful. It’s a thinking partner, it’s truly terrific, and it saves me a ton of time. Frankly, I think the quality of work is better.”
He said his choice of assistant varies by task. “For something more technical I will use Gemini. If I’m doing something where it’s a bit more artistic, I prefer Grok. If it’s very fast information access I prefer Perplexity—it does a really good job of presenting research to me. And for near everyday use I enjoy using ChatGPT,” Huang says.
When a project matters, he puts multiple systems to work on the same prompt. “When I am doing something serious, I will give the same prompt to all of them, and then I ask them to, because it’s research oriented, critique each other’s work. Then I take the best one.”
Conversation circled back to Nano Banana before his session ended. “AI should be democratized for everyone. There should be no person who is left behind, it’s not sensible to me that someone should be left behind on electricity or the internet of the next level of technology,” he said. “AI is the single greatest opportunity for us to close the technology divide,” Huang added. “This technology is so easy to use—who doesn’t know how to use Nano?”