An alternate data point. This has been my best year selling self-paced video courses, which has been 98% of my income since 2022. A great course reorients the learner in the world. It doesn't just give them new knowledge, it makes new things possible. Also, course creation is curation. It takes a spread-out graph of information, finds the most impactful nodes, and linearises it. This means courses are fast-tracks - they get you to where you need to go faster. So, in the AI world, what is worth learning? For me, that has meant finding techniques which are: - Harness-agnostic - Model-agnostic - Language-agnostic ...that benefit the agent and increase output quality. Because they're everything-agnostic, you can drop into any codebase and succeed. This is a huge space. I've explored a small part of it: software fundamentals, module design, increasing test quality. But there is SO much more there. User interfaces, company process, leadership, observability, product design. But you've got to make the right course. I wouldn't make my "Total TypeScript" course now (sales have dropped off a cliff). That one focuses too much on API's, learning language features, aspects which are easy to ask agents about. Instead, I'd make "TypeScript for AI", focusing on the actual things you need to know to make a productive TS codebase for agents (and it would rock, too). It boggles my mind when people say courses are dead. The hunger for information is very much alive. Go feed it.