You think you can drop a model into a new data center with a different architecture, different censors, different workloads, and it will magically save energy?
It’s very easy to be wrong, and it’s the worst kind of wrong because you feel so justified. You have reasons.
If one was truly concerned about 'democratizing AI', as companies like Google so often claim, then sharing access to the trained models would arguably be far more effective than just sharing research papers which many companies don't even know how to implement. In fact the large majority of companies that are responsible for energy consumption don't have any data on the scale that Google has, so I would go as far as call this a bad faith deflection from the beginning.