this post was submitted on 31 Jul 2025
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Edit: see reply. With correct numbers now I'm mad too. ~~By your own numbers that’s a tiny fraction of the world’s energy use. It seems strange to put such a disproportionate focus on such a small fraction. Where is this rage for the transportation sector?~~
Shh, we don't want to talk about that, car is comfy
On a more serious level, the type of AI that all the energy is being used for, generative AI, is not particularly necessary. Transportation often is. There are types of AI that are ridiculously useful, like the one that does protein folding, or a lot of machine learning algos that classify things for X or Y business reason... But LLMs and image generation are a fucking novelty.
My numbers were mixed in the previous post; I was mixing total global and total annual use. I'm sorry about that; the numbers looked off but I didn't catch the time scale difference.
AI companies are projected to use 1kTWh in 2025. Transportation is projected to use 1.2TWh, industry, 1.1TWh. Bitcoin, everyone's favorite whipping-boy, is estimated to use only 173TWh globally, a mere 17% of AI. Residential is only 800TWh, 4.5x Bitcoin, but 80% of AI. Commercial is less, at 600TWh.
These all come from different sources: homeinst.org and Deloitte are the main ones, but the Bitcoin stat comes from Cambridge and the EIA (eia.gov), and the AI industry number comes from an MIT and backed by a different Deloitte report.
The industrial sector is the largest energy user, but AI is a close third just below transportation.
I was surprised that cryptocurrency energy use was so relatively small, given the hysteria. Bitcoin alone is 173TWh, far smaller than all of the sectors, and a fraction of AI; but even adding all of the other cryptocurrencies, the estimated consumption rises only to 215TWh. That pushes it past the smallest user, the agriculture sector sitting at 200TWh, but still well below everything else.
AI is the third largest energy consumer, annually, globally.
Transportation is moving in the right direction atm, even if it is slow. AI is going the wrong direction.
I think they're intent wasn't to take away from any other issues we have but to say that we have another burgeoning issue which if it continued to grow at scale could be as damaging as our other major contributors.
Now we have the the education and first-hand experience to understand the impact and scope of the issue and despite this have still showed no reluctance.