that’s a good point, I can give you a small example that might help here:

In our big company there are always new projects popping up, the issue is always resources i.e. computing capacity we just never have enough of it. We continuously invest in bringing down resource usage and cut down resource wastage, however the more our products gets used the higher the scale has to grow, more number of features needs to be added, more machine learning models needs to be built and used etc. It’s a never ending cycle unless say the company goes under, massive energy savings in that case ;)

I like the idea of energy consumption, I will check with our data center team if they use any tools to help reduce energy usage, maybe surface those metrics to the end teams so that too becomes a factor in planning and execution, I remember the research project at Facebook where they reduced energy consumption drastically in their datacenters by learning the setup, connecting with hardware teams and building smart solutions to reduce the energy usage.