Google has been doing AI before any other company even thought about it. They are on the 6th generation of TPU hardware.
I don't think there is any maturity issue, just an availability issue because they are all being used internally.
If you aren't internal, the documentation, support, and even just general bug fixing is impossible to get.
(Doesn't have a team like that) = stick to mass-use, commodity hardware
That's generally been the trade-off since ~1970. And usually, the performance isn't worth the people-salaries.
How many examples of successful hardware that isn't well-documented and doesn't have drop-in 1:1 SDK coverage vs (more popular solution) are there?
It seems like a heavy-lift to even get something that does have parity in those ways adopted, given you're fighting market inertia.
This not even remotely true. SRI was working on AI in various forms long before google existed