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I dont know what to tell you. I guess - correct your misconceptions?

Carbon footprint of commute is in KGs of CO2. A day's worth of AI, depending on model, is ~15-100g of CO2.

Heck food you eat has more than a few Kgs of footprint everyday.

I won't belabour the point, but I think someone needs to correct their misconceptions. You're comparing a single, average person's usage of AI in a day -- not the billions who actually use it. Then you are comparing it to an American's two-hour commute in an oversized SUV. (A commute on the Tube costs about 0.02991 kg per passenger, per kilometre.)

What about training those models? Or the usage of all of the data centres? The projections are that by 2028 a fifth of all energy consumption in the U.S. alone will be for AI.[1]

[1] https://www.technologyreview.com/2025/05/20/1116327/ai-energ...

Does that include the training?

yes. training is a magnitude lower of energy of the lifecycle of frontier models. with current use of opus etc, the math is closer to 1%.

https://libguides.usc.edu/blogs/USC-AI-Beat/hidden-costs-of-...

This is actually a good link. Thank you. It's usage that is the big driver, and LLMs are a big driver in emissions and other damage to the environment.

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