The biggest bottleneck in physical AI is not a missing technical breakthrough—it's the engineering grind of cost reduction, safety validation, and real-world deployment across heterogeneous hardware.
The speaker argues that the debate about whether self-driving will happen is over; the real challenge is the engineering grind to bring down cost per mile, validate safety, and deploy across diverse hardware platforms. ✦ AI generated
Speaker 2 · a16z Podcast · 2026-07-21 · original ↗
starts at this moment · 39:49
You know what we're not debating about? Is it gonna happen? Like is there a big technical breakthrough that needs to happen? None of those things. So now we're clearly in the engineering side of self-driving, which is just this grind down to like dollar per mile efficiency.
verbatim transcript · starts at 39:49
39:49Like is is is there a big technical breakthrough that needs to happen? None of those things. So now we're clearly in the engineering side of self-driving, which is just this grind down to like dollar per mile efficiency. And the moment that it's cheap, guess what? All the OEMs are smart. They'll just they just adopt it. It's not the OEMs are resistant because they don't think consumers want it or they don't
40:11understand the technology. It's because they want a price envelope which allows them to keep their thin razor thin margins and at a scale right >> which is deployed across 100 plus countries in V1 right >> and so if you're just doing a small deployment it's very different and I think and and that was the last thing I would say is the buyer of a Subaru >> or a buyer of a Suzuki have very
40:36different brand expectations that a buyer of a Tesla >> and so including the age of the consumer and what they think will happen and won't happen. Um, so that that also the reason. So if you're a Suzuki, you're like, well, my buyer is like not doesn't want this stuff, so I'm not going to jam it into the car. It's not because they're not like technically competent. It's just a different area.
40:56>> When do you think when do you think it'll be routine? Let's say the 200 biggest American cities like um would it be routine to walk outside and you just you just take it for granted that a robot taxi can come pick you up? >> Uh it's 26 now. Um I mean certainly by 30. All right. Okay. >> Yeah. Certainly by 30. And I I would say
41:15the big like variable there really is like >> because you what Whimo will say is that the dollars and cents per city already work and it's like well a company that has basically unlimited capital. Why are they not already in 200 cities? But then you see their launch schedule is pretty aggressive and you're like that that can that can get there. So >> maybe if I was being aggressive I would
41:34say 28. >> Yeah. Okay. >> Like I would say I would say available in 30 but routine and maybe like 32. Yeah, 33. >> Sure. Because there's a scale up. There's a volume. >> And also if you you you know you live in LA and so like five years ago I'd go to LA, people would be like, "What's applied intuition? I don't know what self-driving cars are." Uh in the last