It's a potential commodity in that there is potentially no network effect stopping people from using any competitor that offers a cheaper ride, unlike how when you're an iPhone user you get locked into Apple's ecosystem. But then there's the thing where despite having had 18 years to catch up, nobody makes phones (including software) better than Apple.
One potential moat is just the amount of data from real drivers that Tesla use to train their models via imitation learning. If this turns out the be important and needed for a general solution (which I believe it will), then only companies that manufacture cars at scale can hope to compete. And at this point, only Chinese companies are forward looking enough to put the right hardware for self driving (and the ability to collect training data) into their cars by default. Tesla has the vertical integration that makes this whole thing much easier: they make the cars, the inference compute, the software AND the training clusters. Can you imagine GM or Ford building a GPU cluster for a couple of billion?
One potential moat is just the amount of data from real drivers that Tesla use to train their models via imitation learning. If this turns out the be important and needed for a general solution (which I believe it will), then only companies that manufacture cars at scale can hope to compete. And at this point, only Chinese companies are forward looking enough to put the right hardware for self driving (and the ability to collect training data) into their cars by default. Tesla has the vertical integration that makes this whole thing much easier: they make the cars, the inference compute, the software AND the training clusters. Can you imagine GM or Ford building a GPU cluster for a couple of billion?