Mathias Schäfer argues that generative AI is dismantling the system that produces web-development knowledge. Developers increasingly ask chatbots instead of buying courses or visiting the people whose work trained those systems, while AI crawlers raise publishers’ costs without returning readers or revenue.

The evidence comes from educators living through the change:

  • Axel Rauschmayer says income from his JavaScript and TypeScript books went from enough to live on in 2024 to zero in 2026. Meanwhile, crawler traffic to his free books became too expensive to serve.
  • Josh Comeau reports course creators seeing revenue fall by more than 50%; Web Dev Simplified’s Kyle Cook says his programming-tutorial income has roughly halved.
  • Salma Alam-Naylor describes rich, carefully made curricula being taken and flattened into chatbot answers without consent or compensation.
  • Rachel Andrew warns that AI-assisted writing often moves labor rather than removing it: editors and readers inherit the work of finding confident, subtle errors.

Schäfer’s point is larger than lost book sales. If research, teaching, and careful explanation can no longer support the people doing them, the knowledge supply itself begins to disappear. Calling that “democratization” hides a transfer of power from open learning communities to a few model providers.

His answer is collective rather than technical: sustain independent educators, preserve open web communities, and make AI companies pay for the labor they appropriate. A chatbot can reproduce an explanation; it cannot maintain the human ecosystem that discovers, tests, and teaches what comes next.

The 122-comment thread on Hacker News adds both independent corroboration and serious dissent.

What the thread adds

  • __mharrison__ — an educator and author reports significant declines in course and book sales, but also says AI helped him create interactive teaching examples that previously existed only as whiteboard sketches. His concern is that advanced techniques may disappear when delivery speed becomes the priority.
  • wagslane — Boot.dev’s founder offers a counterexample: revenue still grew in 2026, though much more slowly, after the company doubled down on human-made content, interactivity, and animation.
  • santiagobasulto — an EdTech founder confirms falling consumer revenue but disputes Schäfer’s conclusion. He argues that students can now skip repetitive API recall and spend more time comparing models, evaluating tradeoffs, and understanding the domain.
  • brailsafe — distinguishes retrieving isolated answers from learning a subject. LLMs are useful for exploration, they argue, but are also very good at letting users skip the learning itself.
  • OuterVale — a front-end author says multiple publications have reduced output, switched to low-quality generated articles, or gone quiet, corroborating the essay’s account from behind the scenes.
  • JumpCrisscross — asks the unresolved measurement question: when a student calls an AI tutor superior, has anyone independently verified that the student can demonstrate mastery through ordinary problem solving?

The disagreement matters. The thread supports the economic damage, but it does not agree that AI is inherently worse education: several practitioners see a chance to replace rote work, while others fear that beginners will never build the understanding needed to judge the answers.

HN handles are pseudonymous and the site publishes no per-comment scores. The ordering is HN’s own ranking, so this is a slice of the thread and not a consensus.