Auto company executives and salesmen don't really know how cars work. Is ML different? Should we expect execs and managers at companies that do ML to understand it?
It's a question of what's the competitive advantage of the company. For car cos, it could be: making cars; logistics; supply chain management; branding; marketing; distribution; etc. Top execs should have expertise close to whatever the distinguishing factor is.
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To the extent that ML-based business models only depend upon ML which has been commoditized, it seems likely execs will only need a relatively shallow knowledge.
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Another way of putting it: would it be decisively in your co's interest to have Hinton (or someone similar) in a key decision-making position? For some ML companies, the answer will be no. But it'll be interesting to see if there are co's where the answer is yes.
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Again, Google is interesting. It really helped to have Page, Brin, Dean, Ghemawat etc in key decision-making positions. But if the tech had been more commoditized, their competitive advantage would have needed to be elsewere.
End of conversation
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