AI Answers Hollow Documentation Economies

When LLMs provide direct answers to developer queries, traffic to canonical documentation — the discovery channel that funds many open‑source and commercial projects — can collapse, destroying the revenue model that sustains maintainers and paid tooling. This produces a market failure where a public good (high‑quality docs) is unpriced because intermediated model outputs substitute for human‑curated portals. — This matters because the shift threatens the sustainability of open‑source ecosystems, creates new incentives to gate documentation behind paywalls or private APIs, and calls for policy responses (content‑training rights, public documentation funding, LLMS.txt standards).