I think some of that is because the reporting is focused on the new stuff, that was previously not possible. That human work is involved and some of the weaknesses are not really new. But also because the information in this case comes from a company that wants to sell their AI. I agree that the reporting is probably biased and not really sharp and therefore limited in usefulness.

Also, my (second) comment was not specifically about your comment but generally about the "vibe" of this community

CO2 emissions are a huge problem, of course. But it is not specific to AI. Data centers are starting to become a significant factor of energy consumption but I think it will stay very manageable compared to other consumers and given the utility it provides. And since data centers luckily natively require electricity, it is much easier, compared to e.g. transportation, to switch them to renewables. And renewables are very often already the cheapest source of energy anyways. So I think AI is just another thing that humans do that requires energy, and it comes with the same tradeoffs (the utility vs. the cost of sourcing that energy). So in my opinion we should mainly focus on accelerating the transition to green energy.

Here's a good overview about AI carbon emissions I just found: https://www.carbonbrief.org/ai-five-charts-that-put-data-centre-energy-use-and-emissions-into-context/