The International News Media Association (INMA) has released a new report – ‘How AI’s Dependence on Journalism Could Reshape Publisher Economics’ – arguing that artificial intelligence’s growing dependence on fresh, original, and verified reporting could reshape the economics of the news industry — and give publishers negotiating leverage they have rarely held in the digital era.
Written by Pradeep Gairola of The Hindu, and based on his presentation at the INMA South Asia Webinar on 20 May 2026, the report contends that journalism should no longer be viewed merely as “content” in the AI economy. As generative AI makes summaries, rewrites, and synthetic articles almost infinitely abundant, the scarce resource becomes new, verified knowledge about the real world — what Gairola calls the Original News Production Layer (ONPL).
“AI can manufacture more information. What it cannot manufacture indefinitely is more reality,” Gairola writes. Drawing a parallel with Germany’s 1923 hyper-inflation, the report describes an “informational hyper-inflation” in which AI-generated articles now outnumber those written by humans — making original reporting, investigation, and firsthand observation more valuable, not less.
The report traces three waves of digital disruption — the Internet democratising publishing, search and social democratising reach, and AI now democratising production — and identifies a “missing economic layer.” Publishers bear the substantial cost of discovering, reporting, and verifying the news, while AI companies increasingly capture the value downstream, with no mature mechanism yet connecting the two.
The market is already signaling that value. Between July 2023 and March 2026, the six largest AI companies struck more than 100 licensing and data-access deals with an average size of about US$24 million.
Meanwhile, researchers at Epoch AI estimate the stock of high-quality human-generated text for AI training could be exhausted between 2026 and 2032. Yet publishers are responding unevenly: Nearly four in five leading Web sites in the United States and Europe block AI crawlers, while roughly 70% of Indian news sites remain open.
Using India’s vast, multilingual news ecosystem as a case study, the report shows how local and local-language journalism can acquire global value, since AI systems need knowledge that is difficult to obtain anywhere else. “Scarcity creates economic value. Dependency creates negotiating leverage,” Gairola writes. “But neither automatically creates revenue.”
The report closes with six actions for publishers: measure what is genuinely original, control access to what they hold, negotiate for sustained access rather than individual pieces of content, collaborate where interests are shared, help shape the rules, and build more of what is scarce. With data exhaustion already under way and synthetic-data techniques and legal frameworks maturing, it warns that the window of maximum publisher leverage is open now — but will not stay open indefinitely.
The report is intended for news executives, editors, product and revenue leaders, and strategists navigating licensing, crawler access, and partnerships with AI companies.
