I wrote previously about the cost-per-domain inversion — the headline figure that AI synthesis produces equivalent content for two to three orders of magnitude less than manual authoring. The cost number is the easy part of the conversation. The harder part is what the inversion implies for the economics of the business around the content, and that's what this post is about.
The single largest cost line for traditional edtech companies is content production. Kaplan, Princeton Review, Wiley, Pearson, Cengage, McGraw-Hill, ETS — all spend roughly the same amount per training module, and have for decades. The number is between $10,000 and $50,000 per domain (where "domain" means a single certification exam, a single textbook chapter, or a single training course), and it covers a subject-matter expert's time, an editorial pass, accuracy review, item-writer effort, multimedia production, and platform integration.