>The same can probably be said for contemporary AI, but it's tough to tell right now. There's some scant indications we've scaled LLMs as far as they can go without another fundamental discovery similar to the attention paper in 2017. GPT-5 was underwhelming, and each new Claude Opus is an incremental improvement at best, still unable to execute an entire business idea from a single prompt. If we don't continue to see large leaps in capability like circa 2021-2022, then it can be argued jevons paradox will kick in here and at best LLMs will be a productivity multiplier for already experienced white collar workers - not a replacement for them.

The NBA has an incredibly high demand for 14-foot-tall basketball players, but none have shown up to apply. Similarly, if this causes our economy to increase demand for people to "execute an entire business ide from a single prompt", it does not mean unemployment can be alleviated by moving all the jobless into roles like that.

We don't need science fiction AI that will put everyone out of work for it to be ruinous. We only need half-assed AI good enough that they don't want to pay a burgerflipper to flip burgers anymore, and it'll all go to hell.