From a "compute" perspective (so not consumer graphics), power... doesn't really matter. There have been decades of research on the topic and it almost always boils down to "Run it at full bore for a shorter period of time" being better (outside of the kinds of corner cases that make for "top tier" thesis work).
AMD (and Intel) are very popular for their cost to performance ratios. Jensen is the big dog and he prices accordingly. But... while there is a lot of money in adapting models and middleware to AMD, the problem is still that not ALL models and middleware are ported. So it becomes a question of whether it is worth buying AMD when you'll still want/need nVidia for the latest and greatest. Which tends to be why those orgs tend to be closer to an Azure or AWS where they are selling tiered hardware.
Which... is the same issue for FPGAs. There is a reason that EVERYBODY did their best to vilify and kill opencl and it is not just because most code was thousands of lines of boilerplate and tens of lines of kernels. Which gets back to "Well. I can run this older model cheap but I still want nvidia for the new stuff...."
Which is why I think nvidia's stock dropping is likely more about traders gaming the system than anything else. Because the work to use older models more efficiently and cheaply has already been a thing. And for the new stuff? You still want all the chooch.