The article format is dying. That’s one of the bolder predictions from 17 media experts polled by the Reuters Institute for the Study of Journalism on how AI will reshape news this year.
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The experts, drawn from organizations including BBC, The Wall Street Journal, The New York Times, Nikkei and Semafor, identified five recurring themes in their forecasts.
First: audiences will increasingly access news through AI. Gina Chua, executive editor at large at Semafor, predicts that traffic to news sites will keep falling as chatbot use accelerates. NPO’s Ezra Eeman puts it bluntly: publishers must shift from thinking about “AI in Media” to “Media in AI.”
Second: verification becomes a product. Harvard Shorenstein Fellow Shuwei Fang predicts news organizations will discover their next product isn’t content but process, answering the question “Is this real?” at speed.
Third: AI agents will automate entire workflows. Consultant David Caswell says the limits of simple “task automation” have become apparent. He expects newsrooms to embrace agentic AI for investigations, fact-checking and newsgathering.
Fourth: infrastructure investment. The Wall Street Journal‘s Tess Jeffers predicts newsrooms will deploy “synthetic audience models” that let reporters test story ideas instantly, plus data chatbots that democratize audience insights.
Fifth: data journalism gets supercharged. The Financial Times‘ Martin Stabe argues newsrooms need to build “editorial-facing data engineering functions” to collect fresh data rather than just mining their archives.
The forecast isn’t all optimistic. Audience responses included concerns about job cuts and rushed adoption. Young journalist Pablo Urdiales Antelo wrote that 2026 would force those entering the field “to confront what integrity looks like when the ground won’t stop moving.”
The New York Times‘ Rubina Fillion offered a measured view: the paper never uses AI to write articles, but does use it for drafts of summaries and metadata, all thoroughly edited before publication.
