blog essay arguing AI disruption is structurally more threatening to software than many other fields becaus...
concise articulation of the “tech gets disrupted by its own disruption machinery” thesis, with stronger labour/political economy framing than most AI-in-software essays.
What it is: a blog essay arguing AI disruption is structurally more threatening to software than many other fields because code is verifiable, open source created a huge training corpus, and AI labs can dogfood coding tools on themselves.
Gist: the author expects a race to the bottom in software pricing, wage compression, permanent erosion of the talent pipeline, higher output expectations for remaining engineers, and most upside captured by owners/model providers.
Newsletter angle: software may be the cleanest early target for AI because it has both an oracle and the richest public corpus.
Note: fetched directly from the article; clearly opinionated, but useful as a framing piece.