On January 2, 2026, Policy Circle reported that India’s Department for Promotion of Industry and Internal Trade (DPIIT) has floated a working paper proposing blanket licensing and royalties for generative AI training on copyrighted content. The article warns that while protecting creators is vital, over-aggressive licensing could raise barriers for Indian AI startups and open-source projects.
This article aggregates reporting from 1 news source. The TL;DR is AI-generated from original reporting. Race to AGI's analysis provides editorial context on implications for AGI development.
India’s emerging stance on AI copyright is crucial because it sits at the intersection of three big forces: a booming domestic tech ecosystem, huge pools of creators, and a state that’s comfortable with muscular digital regulation. A mandatory blanket licensing regime for training data would be one of the most interventionist proposals anywhere, and could become a template for other large markets if it appears to work. For global model builders, that would mean a future where training on Indian content carries explicit levies and reporting obligations.
For the race to AGI, the impact is ambiguous. On one hand, predictable licensing could de-risk large-scale training and push well-capitalized firms to formalize their use of copyrighted data. On the other hand, high transaction costs would weigh most heavily on Indian startups and open-source projects, potentially slowing down the diversity of local experimentation. If India succeeds in crafting a “light but credible” framework that distinguishes between training and reproduction and ties levies to commercial deployment, it could show that strong creator protection and rapid AI adoption aren’t mutually exclusive.


