India's copyright applications jumped 80.3% to 44,095 by 2024-25, but the IP system struggles with a new frontier: Generative AI. Generative AI models process vast amounts of copyrighted material for training, blurring the line between content access and fundamental reproduction. This raises critical questions about licensing, remuneration, and enforcement for creators and AI developers alike.
How We Got Here
The challenge isn't new; music streaming forced a similar copyright re-evaluation when moving from CDs to digital platforms. However, the 'State of Intellectual Property in India' report, a five-year assessment published by Manohar, flags the current AI issue as significantly larger.
The Numbers
- The Advanced Study Institute of Asia's report examines whether existing IP systems can manage rights after creation, focusing on value generation.
- Revenue from copyright increased from Rs 248.81 lakh in 2020-21 to Rs 364.76 lakh by 2024-25.
- Literary works comprised 65.1% of all copyrights registered during 2024-25.
- The Copyright Office currently faces a backlog of 17,328 pending applications as of 2024-25.
What Happens Next
🇮🇳 Why This Matters for India
For Bangalore-based AI startups and Mumbai's creative studios, this legal ambiguity around training data could significantly increase IP compliance costs and slow innovation.
The Take
India's IP ecosystem registers copyrights efficiently, but its true test lies in establishing a clear, actionable licensing framework for AI. Without this, content creators will struggle for fair remuneration, and AI developers will navigate constant legal uncertainty, hindering innovation for both.
Source:
MediaNama ↗