GoKawiilToday, I’m talking with Xinzhou Wu, who is the head of automotive at Nvidia.
Nvidia is obviously in the news constantly because of the AI boom — it’s one of the most valuable companies in the world, because the AI industry can’t get enough of the company’s GPUs.
But Nvidia is also a key supplier to the auto industry. It’s had chips in cars for years now, and Xinzhou has been instrumental in building a complete autonomous driving system that automakers can just use. It’s already in newer Mercedes EVs, for example, as you’ll hear him mention several times.
So I really wanted to get his perspective on how the auto industry is handling the big transition to self-driving EVs. That’s the goal every carmaker and supplier will tell you is coming, but which maybe seems farther away in 2026 than ever. The EV adoption cycle in the United States is fully off track, self-driving seems to forever be stuck trying to solve the final 20 percent of situations, and cars themselves just keep getting more expensive even as consumers are feeling the squeeze of inflation and rising energy prices across the board.
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You’ll hear Xinzhou say there’s actually been startling progress in reinventing the fundamental nature of the car itself — something the industry calls the “software-defined vehicle,” controlled by just a handful of powerful computers instead of dozens or even hundreds of independent electronic control units, or ECUs. If you’re a Decoder listener, you have heard so many carmakers talk about the need to get away from ECUs; Xinzhou says that moment is basically here.
We talked a lot about the Chinese car industry and how it’s been able to essentially get a head start because it began building on EV architectures and platforms, instead of having to manage a transition away from gas cars and all those ECUs. Xinzhou used to work at a Chinese original equipment manufacturer (OEM), so he has quite a bit of insight there.
We also talked about working at Nvidia itself. It’s a unique company with a unique leader in Jensen Huang, and Xinzhou said his three years there so far have been a rapid learning experience. He didn’t shy away from the reality of needing to compete for resources and capacity against the company’s booming AI business. His description of what wins those arguments, especially when his customers are as slow and cost-averse as automakers, was fascinating.
Of course, we had to discuss AI and how Nvidia’s approach to autonomy brings together what Xinzhou calls the “classical” stack and the ability for reasoning models to operate the car. There’s a lot here, including the idea that you’ll have an AI model literally talking to itself to figure out how to drive your car, which I find both incredibly interesting and incredibly funny.
And, of course, you can’t talk about electric cars or vehicle autonomy in the US without talking about Elon Musk and Tesla. So I asked Xinzhou pretty directly if Tesla full self-driving can actually do what Elon claims it will be able to do without using lidar. You tell me if you think his answer holds up.
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