Nvidia's Automotive Chief: Industry Moving to AI-Defined Vehicles, But EV Adoption and Self-Driving Face Hurdles

In an interview published July 13, 2026, Nvidia's head of automotive, Xinzhou Wu, discussed the shift from software-defined to AI-defined vehicles, while noting challenges in EV adoption, self-driving progress, and rising costs.

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In an interview published on July 13, 2026, Xinzhou Wu, Nvidia's head of automotive, described a transformation in the car industry. Wu, who has worked in automotive for 15 years and previously led Qualcomm's automotive team before heading an autonomous driving team at a Chinese OEM, said cars are moving from being software-defined to AI-defined. According to Wu, artificial intelligence is now rewriting most of the software in vehicles.

Nvidia's autonomous driving system, which combines a classical stack with reasoning models, is already deployed in newer Mercedes EVs. Wu noted that the industry is shifting away from dozens of electronic control units toward a few powerful computers.

However, Wu also pointed to several challenges. He said EV adoption in the US is off track, self-driving remains stuck on the final 20% of situations, and cars are becoming more expensive due to inflation and rising energy prices.