AI’s Evolution in Newsrooms: From Experimentation to Essential Tool

The integration of artificial intelligence (AI) into newsrooms is no longer a question of “if,” but “how.” With generative AI applications experiencing exponential growth – ChatGPT now boasts over 900 million weekly users and processes roughly 2.5 billion prompts daily^ChatGPT – the media landscape is undergoing a fundamental shift. Adoption is broadening beyond early adopters, with a significant increase in users aged 45 and older in the UK, growing by over 220 percent last year. Generative AI apps are projected to become one of the five most-used categories of digital content, alongside streaming, social media and gaming.

The Shifting Conversation in Newsrooms

At the recent AI in Media Forum 2026 in Bangalore, Ezra Eeman, AI expert and Director of Strategy & Innovation at NPO in the Netherlands, and lead of WAN-IFRA’s AI in Media initiative, highlighted this evolution. The focus has moved from exploring AI’s potential to implementing it at scale. “The question is no longer whether we should explore AI, but whether we are ready to operate it at scale in newsrooms,” Eeman stated. “Hundreds of millions of people employ these tools daily. That changes how audiences find information, interact with media, and how newsrooms operate.”

AI as a Productivity Aid for Journalists

Currently, most AI adoption within news organizations centers around tools designed to streamline workflows rather than replace journalists. A UK study reveals that 56 percent of journalists utilize AI at least weekly. These tools often take the form of practical productivity aids, many developed internally by publishers. Examples include transcription services like GoodTape and tools that transform reporting into social media content or visualizations.

“The promise was that AI would take over repetitive tasks and give journalists more time for creative work,” Eeman noted. “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 Rise of AI Agents in News Production

While simpler AI tools are prevalent, some organizations are beginning to experiment with AI “agents” capable of automating multi-step workflows. These agents can retrieve assets, edit text or video, and prepare content for distribution with limited human intervention, coordinating several processes instead of responding to single prompts.

TNL Media Genie in Japan is developing an “agentic newsroom” where AI systems manage parts of the production workflow. Mediahuis in Europe has experimented with agents that can draft stories, edit text, conduct fact-checks, and perform legal reviews before a human editor’s final assessment.

The Limits of Autonomy and the Importance of Human Oversight

Despite these advancements, Eeman cautioned against expecting fully autonomous systems. “Real autonomy, for now, is still exceptionally much an illusion,” he said. “These systems tend to optimize for very specific goals, but they struggle when they need broader editorial judgment or contextual understanding. That is why human oversight remains essential in newsroom use.”

From ‘Adding AI to Media’ to ‘Adding Media to AI’

The relationship between AI and journalism is evolving beyond simply enhancing newsroom workflows. Eeman argues that AI is reshaping how audiences interact with news and information. “We are moving from adding AI to media to adding media to AI,” he explained. “For years we asked how AI could support journalism. Increasingly the question is how journalism fits into AI systems that people use as their primary interface for information.”

Conversational assistants and recommendation systems are becoming primary points of contact for information. Users may increasingly interact with AI systems that retrieve and summarize information from multiple sources, rather than visiting individual websites or apps. This shift encompasses three key dynamics: finding (AI surfacing information proactively), feeling (content adapting to user context), and flowing (seamless information movement across devices).

Adapting Journalism to the AI Ecosystem

This evolving landscape may require publishers to rethink the structure of journalism. Instead of presenting information as finished articles, reporting could be broken down into smaller, modular components – “news atoms” – that can be assembled into summaries, audio briefings, or in-depth explanations based on user requests.

Impact on the Publisher Business Model

These changes are too affecting the economic foundations of digital publishing. The traditional value chain – content creation, discovery, clicks, and monetization – is being disrupted. AI-generated answers in search results can reduce click-through rates to original sources by as much as 58 percent^ChatGPT.

As discovery shifts towards AI interfaces, publishers are grappling with how their content is accessed and used. Some are blocking automated crawlers, while others are exploring structured access protocols for AI systems. The economic model remains unsettled, with technology companies seeking broad access to content and publishers advocating for compensation, attribution, and control.

The Associated Press is exploring structuring its archive as data products that AI systems can license for verified information. Eeman suggests that different strategies may emerge based on publisher type, with large national outlets potentially negotiating partnerships, local publishers focusing on original reporting, and niche publishers building direct relationships with specialized audiences.

Guiding Principles for Journalism and AI

Eeman emphasized several guiding principles for navigating this new era: “There is no content without consent,” he stated. “There needs to be fair compensation for the use of journalistic work. And accuracy and attribution must remain central in every AI-generated answer.” A media ecosystem built on these principles, he added, would benefit both publishers and the AI systems that rely on reliable information.