AI chatbots depend on journalism for news. The question is who pays for it
As more people turn to AI tools for news, media organizations warn that their reporting is being used without payment, and the industry is split over how to fix it.
By Khalid Khalil ·
Millions of people now treat AI chatbots as a news source, turning to them for quick answers about current events. A 2026 survey by the Reuters Institute for the Study of Journalism, which polled more than 90,000 people worldwide, found that 10% use AI chatbots for news on a weekly basis, with the figure significantly higher among younger audiences.
Explaining world events, why they matter and what they mean has long been the job of journalism. Media organizations send reporters into the field, commission investigations and conduct research. But as audiences shift toward AI tools, the relationship between those who produce journalism and those who distribute it is being reshaped.
Speaking at the Global Media Forum in Berlin, Funke Media Group publisher Julia Becker said the old arrangement with search engines had collapsed. "In the past, search engines like Google indexed our websites and directed users to their articles, generating traffic in return," she told a panel. "But now that exchange has broken down." DW Director General Barbara Massing struck a similar note in a keynote address: "AI companies draw on our quality reporting to generate answers, yet the reporting itself often remains largely invisible by the end of this process."
Their comments capture a concern spreading through the media industry. Publicly available news is copied and summarized by chatbots, while publishers lose the traffic and revenue that distribution once brought. Media houses are now pressing Big Tech companies to ask permission before using their work and to pay for it. In October, German broadcasters ARD and RTL joined the Federal Association of Digital Publishers and Newspaper Publishers and the Association of Private Media in calling for stronger copyright protections.
Legal pressure is building on several fronts. In the United States, The New York Times has sued internet company Brave Softwar for allegedly using its content without permission and bypassing its paywall. In Europe, institutions including the European Court of Justice are examining whether AI-generated answers can themselves infringe copyright. In February, a coalition including the Guardian, the BBC and the Financial Times demanded rules giving publishers more control over how AI systems copy and reproduce their content.
Professor Martin Senftleben, director of the Institute for Information Law at the University of Amsterdam, draws a line between two uses of journalistic material: training AI models, which raises complicated legal questions, and generating answers to individual user questions in real time, which he considers the more urgent problem. He argued that existing EU copyright law may already let publishers and journalists claim payment collectively. "What are we waiting for? Germany is a large member state. This should be introduced in Germany," he told the forum.
Senftleben suggested a legally required payment system in which every AI response drawing on journalism would trigger a fee, collected and distributed by an umbrella organization much like music royalties. Once such rates existed, publishers could use them as a baseline for negotiating individual licensing deals with AI companies.
The tech industry has signaled some openness. Lutz Mache, senior manager of government affairs and public policy at Google, said the company is willing to negotiate agreements with German media companies. Google is also testing an "AI Contribution" pilot with selected publishers, aimed at rewarding content that plays a significant role in answers from products such as Gemini and AI Overviews, though it remains an early experiment rather than a general payment system. Microsoft, Anthropic and OpenAI have recently backed clearer, standardized signals letting website owners state whether their content may be used for AI training.
Not everyone believes more regulation is the answer. Jörg Heidrich, a technology lawyer and AI commissioner at German media company Heise, warned that Europe has already fallen behind in the global AI race and that new rules could make it harder for European firms to compete with major providers elsewhere. He also cautioned that the debate risks overlooking startups, independent developers and research institutions that depend on data access to build and train AI systems, and that new restrictions could hurt their work.
