A widely circulated narrative in the creator economy holds that ChatGPT and consumer-facing large language models are killing the online course market. Anecdotal evidence — declining sales for individual creators, the public collapse of information-services firms such as Chegg, and surveys showing that learners increasingly use ChatGPT to substitute for paid educational content — has reinforced this view. This paper argues that the prevailing narrative is empirically incomplete and structurally misleading. Drawing on peer-reviewed studies in educational research, behavioral psychology, knowledge management, and the labor economics of generative AI, the paper documents that (a) the completion crisis in self-paced online courses substantially predates ChatGPT, (b) the commoditization of explicit information was already predicted by the economics of information goods, and (c) the post-ChatGPT competitive frontier in adult education lies in the implementation gap — the documented failure of information transfer alone to produce behavior change and skill acquisition. Market evidence from creator-economy platforms whose value proposition centers on implementation and community, rather than on information delivery, supports this thesis: such platforms have continued to grow during the same period in which information-only services have contracted. The paper proposes the Information–Implementation Divide as an integrative framework and introduces the CursoVivo implementation model — a methodology-encoded artificial intelligence layer designed to operationalize personalized implementation at scale within an existing course — as a concrete instantiation of the framework. Implications for course creators, EdTech researchers, and the design of post-LLM digital learning systems are discussed.
Humberto Inciarte (2026) studied this question.