Yeah it sounded like Kent just discovered Jevons' paradox and decided to shoehorn it into the article. Nothing here became cheaper, and if by cheaper he means that paying a programmer was more expensive than paying for an AI, even that's not necessarily true once you account for re-work and a host of other things.

If we're going to go with economic/strategy models, I think the Laffer Curve is more relevant. Seriously extrapolating here: AI is optimal for many tasks which if used in those contexts can maximize productivity. Over-using it on unsuitable tasks destroys productivity.

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michaelfeathers a day ago | parent [-]

There's something with the same shape as Jevon's paradox - the Peltzman effect. The safer you make something the more risks people will take.

Applied to AI I think it would be something like - ease of development increases the complexity attempted.

	▲	Yoric 21 hours ago \| parent \| next [-]
		This actually sounds like Rust development (or both FP and OOP development before that, or compilers before that). By making things simpler and/or more robust, you make some very complex algorithms much more feasible. And you end up with algorithms such as HTTPS or even raft being part of everyday life, despite their complexity.
	▲	recroad a day ago \| parent \| prev [-]
		...and complexity created. I think "How can this code be made simpler and any complexity either isolated or eliminated (preferably eliminated)?" should be the ensuing prompt after we generate things.