“Not ‘how do I get paid for my articles by AI’ but ‘how do I architect my knowledge so it can reach customers I’ve never had access to before'”: A three-layer AI monetization framework, with O’Reilly as proof of concept. (Florent Daudens, AI in the News)
- The click-based revenue model is already failing with human readers. Now AI agents are consuming content without triggering any monetization event, and the infrastructure to fix that (RSL, x402, MCP) is mostly already built.
- Daudens argues the real opportunity is inference, not training licenses: every time an agent retrieves and uses your reporting is a monetizable event, it just isn't being monetized yet.
- O'Reilly Media is the proof of concept: their content now lives inside developers' IDEs, reaches customers who never visited their website, and pays authors per interaction. That's the shift from artifact to architecture.
