Indian Media Leaders Demand AI Giants Pay for Journalism at IndiaAI Summit
India's top media executives have issued a powerful appeal to technology giants, declaring that journalism is not "free-floating internet input" for artificial intelligence models to consume. During a panel discussion titled "AI and Media: Opportunities, Responsible Pathways, and the Road Ahead," convened by the Digital News Publishers Association (DNPA) at the IndiaAI Impact Summit 2026, organized by the Ministry of Electronics and Information Technology (MeitY), leaders emphasized that journalism constitutes essential "democratic infrastructure" requiring both protection and proper payment.
Journalism as Intellectual Property, Not AI Fodder
The central conversation revolved around whether journalism must be treated differently from other content within AI systems. Mohit Jain, COO and executive director of Bennett Coleman & Company Limited, articulated a critical distinction: "Journalism is not a free-floating internet input but intellectual property created through significant investment, rigorous editorial oversight, and accountability. When AI begins to commoditize information, trust becomes increasingly scarce—and that very scarcity creates substantial value."
The panel, featuring heads from major publications including The Times of India, the India Today Group, Dainik Bhaskar, The Hindu, and Amar Ujala, collectively argued that news content carries a unique weight that standard internet data does not. They emphasized that since journalism directly influences elections, financial markets, and overall social stability, it cannot be treated as mere "fodder" for AI training datasets. This foundational argument set the tone for discussions about the ethical and economic relationship between AI development and the news industry.
AI Summaries Under Scrutiny for Diverting Traffic
A major concern raised during the summit focused on how AI-generated summaries—such as AI overviews in Google Search and responses from AI chatbots—are actively harming the news business. These tools, by providing quick, synthesized answers, often stop users from clicking through to the original news websites. This diversion significantly decreases vital traffic to publishers' platforms, undermining traditional revenue models that sustain credible, in-depth reporting.
Robert Whitehead of the International News Media Association (INMA) issued a stark warning, connecting the accuracy of AI systems to the quality of journalistic input. "AI-driven summaries in search environments are already diverting traffic away from publisher websites in several global markets, weakening the revenue models that sustain credible reporting. If journalism funds the accuracy and reliability of AI systems, there must be fair recognition and appropriate remuneration for that foundational value," Whitehead stated, highlighting the unsustainable current dynamic.
Global Precedents for Compensation and Regulation
The publishers pointed to emerging global legal frameworks that are beginning to force big tech companies to compensate news organizations. For instance, Australia's News Media Bargaining Code has successfully led to negotiated deals between AI companies and publishers. Similarly, in Europe, the EU AI Act mandates clear labeling of AI-generated content, while countries like France and Germany have enacted laws that compel digital platforms to negotiate fair terms for content use.
These international examples were presented as viable models for India to consider, demonstrating that regulatory intervention can create a more equitable ecosystem where the value provided by professional journalism is acknowledged and compensated.
Balancing Opportunity with Responsibility
The session concluded with a consensus that artificial intelligence presents both significant opportunities and profound responsibilities. The overarching understanding was that safeguarding journalism as a trusted public good is paramount. The dialogue underscored the need for collaborative pathways that ensure AI development does not come at the expense of the very institutions that produce the verified information and democratic accountability upon which both society and accurate AI systems depend.
The call from India's media leadership is clear: the era of treating high-quality journalism as free data for AI training must end, replaced by frameworks that ensure sustainability, fairness, and the continued vitality of essential democratic infrastructure.
