This could, perhaps, become a significant issue if and when such systems achieve commercial viability, but right now, they are research projects, and it seems beside the point to balance their usefulness as such against what would be their energy consumption if their use were scaled up to the level of a major commercial activity.

To add a research-oriented comparison to the others being presented here, the LHC's annual energy budget is about 3,000 times that of training GPT-3.