It was exactly three years ago that I gave this talk on “regulatory capture” at the @theallinpod Summit. I did predict that the large incumbent AI companies would “beg for” regulation. No idea they would beg this hard.
AI companies make for flawed messengers on this subject: they can reasonably be accused of marketing, of blame-shifting, of regulatory capture, and more.
Germany is in trouble. But the trouble goes deep and cannot be addressed by "more of the same" socio-economic measures in the domain of taxes or social spending or regulation.
The difference is mostly the delay, which stems not necessarily from the regulation itself, but from the incentives in the machinery that administers it.
I think it's all about having regulatory clarity and ease for all sizes of of companies. Um and if we can work with Congress to do something like that, I think that would be that would be the biggest boon for for for startups.
Until manufacturing and regulatory risks become easier to underwrite, capital will keep drifting away from one of the most promising technologies of the last century.
So, like with lawyers particularly, you need some entity to back up the product. You need kind of like an ownership of the product. You need somebody to be able to fire or or hire, like licensing issues. There's a lot of like sort of like regulatory layers that are like also going to be keeping even if there's no relational element human in the loop that have nothing to do with like the ability of the human to actually perform the service.
Tesla (owned by Tesla) has put on a facade of being operational, but it is not operational in the sense of the other two services, and faces regulatory headwinds that both Waymo and Zoox have long been able to satisfy. They are not on a path to becoming a real service.
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