India's copyright applications surged 80.3% over five years, from 24,451 to 44,095. This surge strains a system ill-equipped to manage IP beyond registration, especially with generative AI now in play. The current framework, designed for music streaming disputes, cannot easily define 'use' for AI model training.
Copyright law previously adapted to music streaming platforms, confronting new definitions of 'use' for digital content. A new 'State of Intellectual Property in India' report now reveals the IP ecosystem's rapid expansion clashes with outdated legal and institutional systems.
Defining 'use' for AI training datasets will likely spark new licensing and remuneration debates across India's content industries. The government will face pressure to clarify or amend the Copyright Act, potentially through a new committee or expert body, within the next 12-18 months.
🇮🇳 Why This Matters for India
AI founders in Bangalore and Hyderabad face significant legal ambiguity, risking future lawsuits or stifling innovation if they use copyrighted data to train models.
The Take
The core issue runs deeper than simply clearing application backlogs; it's about India's missing framework for monetizing and enforcing IP in the AI era. This vacuum creates a high-stakes gamble for local AI startups, who will either navigate it successfully or get caught in expensive legal battles.
Source:  MediaNama ↗