The speaker argues that serving another AI model instance costs far less than building another car, making the economics of wider AI deployment more favorable than deployment of physical systems such as self-driving cars.

“the sort of apex of a session is quite low and you can amortize the cost of AI into the training run itself depending on how inference scaling goes and stuff but it's certainly not as much as like building a whole new car to serve another instance of a model so it just the economics of deploying more widely are much more favorable”