AI’s Rapid Rise Reshapes Newsrooms, Challenges Traditional Publishing Models
BANGKOK – Generative artificial intelligence is no longer a futuristic concept but a rapidly integrated reality for news organizations worldwide, prompting a fundamental shift in how journalism is produced, distributed, and consumed. With ChatGPT boasting over 900 million weekly users and processing roughly 2.5 billion prompts daily, the technology’s influence is undeniable, according to industry experts.
The speed of adoption is particularly striking. In the United Kingdom, usage among those aged 45 and older has surged by more than 220 percent in the past year, signaling a broadening demographic embracing these tools. Analysts project that generative AI applications will soon rank among the top five most-used digital categories, alongside streaming, social media, and gaming.
“The question is no longer whether we should explore AI, but whether we are ready to operate it at scale in newsrooms,” said Ezra Eeman, AI expert and Director of Strategy & Innovation at NPO in the Netherlands, speaking at the recent AI in Media Forum 2026 in Bangalore. “Hundreds of millions of people use these tools daily. That changes how audiences find information, interact with media, and how newsrooms operate.”
Currently, most newsroom applications of AI focus on streamlining existing workflows. A recent survey indicates that 56 percent of UK journalists use AI at least weekly, primarily for tasks like transcription – utilizing services like GoodTape – and creating social media content or data visualizations. While the initial promise was to automate repetitive tasks and free journalists for more creative work, Eeman cautioned that these systems still require significant human oversight for prompting, fact-checking, editing, and verification.
However, some organizations are beginning to experiment with more sophisticated “AI agents” capable of automating multi-step workflows. TNL Media Genie in Japan is developing an “agentic newsroom” where AI manages parts of the production process, while Mediahuis in Europe is testing agents that can draft stories, conduct fact checks, and even perform legal reviews before human editor review.
Despite these advancements, Eeman stressed that fully autonomous systems remain unreliable. “Real autonomy, for now, is still very much an illusion,” he said. “These systems tend to optimize for very specific goals, but they struggle when they need broader editorial judgement or contextual understanding. That is why human oversight remains essential.”
The shift extends beyond internal workflows, fundamentally altering how audiences encounter news. The industry is moving “from adding AI to media to adding media to AI,” Eeman explained. Conversational assistants and recommendation systems are increasingly becoming the primary interface for information, potentially bypassing traditional news websites and apps.
This evolving landscape presents three key dynamics: finding – AI proactively surfacing relevant information; feeling – content adapting to user preferences; and flowing – seamless information access across devices.
Adapting to this new reality may require publishers to restructure their content, breaking down reporting into smaller, modular “news atoms” that can be assembled into various formats – summaries, audio briefings, or in-depth explanations – based on user requests.
The changing dynamics also pose challenges to the traditional publishing business model. As AI systems provide direct answers, click-through rates to original sources are declining. One analysis found that AI-generated answers in search results can reduce clicks on top positions by as much as 58 percent.
Publishers are exploring various responses, from blocking automated crawlers to establishing structured access protocols for AI systems. The Associated Press, for example, is exploring licensing its archive as a data product for verified information.
Eeman emphasized three guiding principles for navigating this evolving relationship: consent for content usage, fair compensation for journalistic work, and a continued commitment to accuracy and attribution. A media ecosystem built on these principles, he argued, would benefit both publishers and the AI systems that rely on reliable information.
