Vast majority of power use comes from inference not training. Training is one massive processing job but inference is done billions of times for some of these models.
Water use is mostly down to the cooling used. Big data centers like to use evaporative cooling which needs tons of water but is cheaper than ac cooling. Electical power also uses water since fossil fuels and nuclear rely on boiling water to spin a turbine but the amount differs heavily by source and is much smaller than using evaporative cooling. Generally you can compare this to running a game (or other program) with similar power draw.
I doubt home use is very significant in terms of environmental impact just like residential water use doesn’t matter very much in comparison to industrial use which pales in comparison to animal agriculture.
So many people think that whatever happens under the current president, as reported by the media, is their sole fault. This is why we have the liberals at brunch meme because the reporting on the border and other issues is much more positively phrased when Democrats are in power so they assume no changes are needed. Then the reporting changes when a Republican is in office and they get mad over the same issues.
I think people are afraid to think for themselves about what’s going on, they just want the algorithm to serve them their opinion. This is probably why propaganda and sponsored content are so effective.