This, but also there are tons of use cases where a ‘critical amount’ of human intelligence has never ever been available to deploy because of non-obvious economic rewards (lots of civic problems). Now suddenly near-zero cost intelligence has opened it all up.
The key is really this: AI usefulness scales logarithmically with inference time compute. Right now for many use cases the amount of compute you need to operate at human-level is such that AI isn't economically viable for that use case.
The more compute efficient AI gets, the more use cases start becoming economically viable, the more we'll deploy AI, and the more compute we'll need.
One very important thing to understand about the future: the economics of AI are about to change completely. We'll soon be in a world where you can turn test-time compute into competence -- for the first time in the history of software, marginal cost will become critical.