People often discuss the amount of electricity required to train an AI model.
But we almost never compare it to the energy required to “train” a human.
Sam Altman recently made that comparison.
Becoming an intelligent human takes roughly 20 years —
the food consumed over a lifetime, education systems, buildings, teachers, transportation, and the global infrastructure that supports learning.
Not to mention centuries of accumulated knowledge that every generation builds on.
So the real comparison isn’t:
AI training vs. a human answering one question.
It’s:
A fully trained AI model answering a question
vs.
A fully trained human brain doing the same task.
Once models are deployed, the energy per query may already be reaching similar — or in some cases lower — levels of consumption.
This shifts the conversation from “AI uses too much energy.”
to how intelligence — artificial or biological — actually scales.
We’re shifting from a debate over training costs to one about efficiency.
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