[hdivider]

I think what doesn't get surfaced enough is that the cost of AI tokens is likely to decrease as new computing hardware gets scaled, such as neuromorphic (or later, photonic) computing.

To assume the current cost of Claude Code and the like is largely fixed is not likely to be accurate. The economic incentive to lower the cost of ML compute at both training and inference is very strong -- and likely even stronger once the bubble bursts.

Once the compute cost is much lower, and the systems more advanced as well, then the future of programming changes. The role of the human in this may be more like: we need one senior experienced full-stack, and like 1-3 others, to build and maintain large complex apps reliably.