Comment by dahart

> we’re talking about 0.019% of US emissions

That’s assuming the numbers are accurate and in the ballpark, and I’m having a really hard time getting the numbers in the paper to add up. Do you believe them, or better yet, do you have other sources that support or confirm these numbers?

Just googling, what I get back is estimates that AI in 2024 already consumed over 200PJ, nearly 10x the number in the article, and is projected to double in the next few years. US electricity production is already ~25-30% of US CO2 emissions, and data centers are at least a quarter of that, and AI is now a huge driver of data center energy use. Data centers are using more than 4% of US electricity.

How is it possible that projected AI emissions are 0.019% from this one paper, while multiple other sources are estimating AI is already responsible for on the order of 2% of US emissions in 2024? I’m seeing a 100x discrepancy…

I don’t suspect the authors have intentionally downplayed either estimates, but a bunch of the paper’s data is old enough that it’s not useful for examining AI trends today. The energy use data is from 2016 and 2019. The energy use of inference is from GPT3 and usage numbers in 2023. The estimates of NVIDIA servers sold is from 2023. AI has exploded since then, and I suspect their estimates are off by orders of magnitude because AI usage has exploded in the last 2 years.

The author’s estimate of 28PJ of future AI energy use is based on a whole stack of assumptions in which small errors at every step can lead to very large errors in the estimate. That number is based on guesses of how automatable jobs are, and not on observations of the actual change in AI energy use today.

https://www.pewresearch.org/short-reads/2025/10/24/what-we-k...

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