India’s proposed AI copyright framework risks turning independent journalism into a pooled data resource, undermining the subscription-based models that sustain it. At a moment of political and economic fragility, the struggle over AI licensing is ultimately a struggle over who controls, values, and profits from journalistic work.
India’s proposed blanket AI licensing regime could redefine independent journalism at a fragile moment. As generative AI tools spread across newsrooms, subscription-funded outlets risk seeing their reporting absorbed into centralised training systems, shifting journalism from a civic product to extractable data infrastructure.
As artificial intelligence becomes an increasingly central force reshaping news production and distribution, Indian journalism finds itself confronting yet another structural transformation. Over the past decade, the country’s media landscape has already undergone profound reconfiguration. As mainstream television channels increasingly echoed the narrative of the ruling government and adversarial reporting narrowed within legacy media institutions, a parallel ecosystem of independent digital outlets quietly emerged.
These platforms, subscription-driven, reader-funded and digitally native, restructured the media economy by decentralising distribution and lowering infrastructural barriers. They repositioned audiences as direct financial stakeholders in journalism. In doing so, they attempted to rebuild public trust in a climate of political pressure and institutional consolidation. Yet this fragile reinvention now faces a new test, not from prime-time politics, but from artificial intelligence.
Debates around AI’s integration into journalism remain disproportionately shaped by regulatory and technological frameworks emerging from the Global North. Western technology corporations continue to function as primary centres of innovation, exporting generative AI systems as finished products to newsrooms across the Global South. Embedded within these systems are assumptions about authorship, value extraction, copyright, ownership and legality. In India, where independent digital journalism survives on narrow subscription margins, the implications are particularly acute.
Enthusiasm Without Safeguards: India’s AI Moment
Across Indian newsrooms, generative AI tools are already being integrated into everyday workflows. Journalists use AI applications to summarise lengthy documents, translate articles across languages, draft headlines and assist with research. Much of this adoption is informal and driven by individual initiative rather than institutional policy.
Ishtayaq Rasool, an independent journalist based in New Delhi, describes the shift in research practices: earlier, reporters relied primarily on search engines. Now, much of the initial information-seeking process takes place through AI applications. The appeal, he says, lies in speed and simplicity.
For others, AI represents accessibility rather than automation. Rakesh Verma, a journalist working in a digital newsroom, explains that coming from a Hindi-medium educational background once limited his engagement with major English newspapers. AI tools now allow him to upload images of articles and request simplified explanations in Hindi or plain English. For his newsroom, he says, the experience feels transformative.
Such accounts reveal a genuine optimism. In a country marked by linguistic diversity and unequal educational access, AI appears to lower barriers to participation in journalism. Yet this enthusiasm coexists with structural vulnerability.
The infrastructure of intelligence model design, training architecture and algorithmic governance remains external, controlled by global technology firms. Indian newsrooms are users, not architects.
Most small and mid-sized digital outlets lack formal AI policies governing transparency, attribution, verification or copyright compliance. Adoption occurs in the absence of structured safeguards.
A Fragile Media Ecosystem
The AI debate unfolds against an already strained media environment. India ranks 151st out of 180 countries in the 2025 World Press Freedom Index. Independent journalism operates under economic pressure, legal scrutiny and, in some cases, direct threat.
The killing of Mukesh Chandrakar illustrates this vulnerability. A journalist who left traditional media to start his own independent news portal in Chhattisgarh, Chandrakar was found dead in January 2025 in a septic tank in Bijapur district. His autopsy reportedly revealed brutal violence. Days before his death, he had reported on alleged road construction corruption involving a local contractor.
His murder was not an isolated symbolic act, but a stark reminder of the risks faced by independent reporters operating outside large institutional umbrellas.
Over the past decade, outlets such as The Wire, Scroll.in and NewsClick attempted to carve out spaces for adversarial reporting. Many rely heavily on subscriptions and reader contributions. Their sustainability depends on maintaining a direct financial relationship with audiences. It is this already fragile model that now confronts the implications of AI-driven copyright reform.
Publicly accessible journalistic content could become eligible for ingestion into AI training datasets under a statutory licensing regime. Consent shifts from negotiation to regulation. This reclassifies journalism.
Blanket Licensing and the Reclassification of Journalism
India’s ongoing discussions around revisiting the Copyright Act in light of generative AI have introduced the possibility of a hybrid licensing framework for AI training.
Under proposals outlined in recent policy consultations, AI developers could receive a broad licence permitting the use of copyrighted content for model training. Instead of negotiating directly with individual publishers, companies would pay royalties into a centralised system. Compensation rates would be determined by a government-appointed committee and funds distributed through a collective mechanism.
On paper, the framework offers administrative efficiency and regulatory clarity. It reduces transaction costs and formalises compensation. However, for independent digital outlets, the implications are structural.
The proposed model does not meaningfully provide individual creators or publishers the option to opt out.
Over the past decade, independent outlets rebuilt themselves online through subscription-supported paywalls and reader-funded investigative reporting. Their economic survival depends on the exclusivity and civic value of their work. If that same reporting becomes raw training material for AI systems capable of synthesising summaries, analysis and derivative outputs at scale, the incentive for direct subscription may weaken.
A senior editor at one of India’s leading independent platforms, speaking on condition of anonymity, described the margins as precarious. Missing even a small number of monthly subscriptions can affect travel budgets and reporting capacity. In such a context, revenue diverted into centrally determined royalty pools with rates fixed by government-appointed committees raises concerns about valuation and bargaining power. The worry is not merely about compensation amounts. It is about who defines value.
If journalistic labour is absorbed into training datasets without meaningful consent mechanisms, its economic identity shifts from a differentiated civic product to aggregated data infrastructure.
Infrastructure, Visibility and Control
Beyond economics lies a deeper issue of narrative power. AI systems trained on large datasets influence how information is synthesised, summarised and surfaced. Those who control these systems influence visibility. In a media landscape already marked by consolidation and political pressure, infrastructural control becomes inseparable from epistemic power.
The risk is subtle but significant: journalism becomes material rather than message. AI adoption may therefore produce a two-speed transformation. Larger institutions with capital and access to infrastructure integrate AI strategically and consolidate reach. Smaller subscription-dependent platforms struggle to maintain economic viability if their core reporting is algorithmically repurposed. In such a scenario, the AI divide compounds existing fragilities within India’s media ecosystem.
Independent outlets that emerged to challenge dominant narratives may find their reporting folded into algorithmic systems whose outputs are mediated by external corporate infrastructures.
A Structural Crossroads
Artificial intelligence undeniably offers tools that can enhance efficiency, accessibility and analytical capacity within newsrooms. Journalists across India are already using these systems creatively to overcome linguistic and resource constraints. Yet technological adoption without structural safeguards risks deepening asymmetries.
Blanket licensing frameworks, if implemented without robust opt-out protections and transparent rate-setting mechanisms, could transform journalism from a protected civic function into a pooled data resource.
For independent media that rebuilt themselves against political and economic headwinds, such a shift would not be marginal; it would be foundational.
India’s AI policy trajectory will therefore shape not only innovation ecosystems but also the future architecture of its public sphere. The debate is not simply about royalties or regulatory compliance. It is about consent, control and the meaning of journalistic value in an algorithmically mediated age.
At a moment when independent journalism remains both economically fragile and democratically indispensable, the structure of AI governance will determine whether this technological transition strengthens media plurality or quietly extracts from it.
