RegulationMonday, January 5, 2026

India extends generative AI copyright consultation to February 6

Source: exchange4media
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TL;DR

AI-Summarized

On January 5, 2026, India’s Department for Promotion of Industry and Internal Trade (DPIIT) extended its public consultation on generative AI and copyright by 30 days, pushing the deadline to February 6. The extension follows a December working paper outlining possible licensing and training frameworks for AI models.

About this summary

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.

Race to AGI Analysis

India’s DPIIT quietly just made itself one of the more interesting venues in the global AI copyright debate. By extending the consultation on its generative AI working paper, New Delhi is signalling that it wants a genuinely contested process around how training data is licensed and how royalties might flow once models are commercialised. The draft already leans toward a hybrid approach—blanket licences for training on lawfully available content, with royalties kicking in at monetisation—rather than a pure “free use” or strict opt‑in regime. ([exchange4media.com](https://www.exchange4media.com/digital-news/dpiit-extends-generative-aicopyright-consultation-deadline-to-february-6-150710.html))

For labs racing toward AGI, India’s choices matter both as a massive market and as a bellwether for other emerging economies. If Delhi lands on a workable collective licensing model, it could offer an alternative to the patchwork of lawsuits in the US and opt‑out debates in Europe. That might actually reduce legal uncertainty for developers willing to pay into a structured scheme, while giving local creators a stake in AI success. The flip side is that a rigid or bureaucratic royalty system could marginalise smaller open‑source players and push experimentation offshore. The extended deadline is a reminder: the economics of training data—and who gets paid—are still up for negotiation.

Impact unclear

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