Catching Up In the GenAI Race : How Far Is India From Its Own ChatGPT Moment?

India ranks as the world's second-largest digital data producer after China, with terabytes of data generated every month.

• The GenAI startup scene in India has flourished, marking a 1.5X rise in GenAI startups from 2021 to 2023.
• AI adoption in India, at 57%, exceeds both the U.S. (34%) and global average (25%), as per the Global AI Adoption Index Report.
• The Indian government actively supports AI development through National AI frameworks and a GPU Cluster to boost AI and GenAI applications.
• A NASSCOM-hosted industry roundtable, in partnership with the Telangana AI Mission and NASSCOM 10000 Startups, underscores increasing investor and VC interest in GenAI startups.
• Projects like 'Jugalbandi' are set to transform technological accessibility and dismantle language barriers, improving inclusivity for India's population.
• The absence of a robust GPU cloud infrastructure presents a challenge for India's GenAI advancements. However, Nvidia's collaborations with Reliance and Tata, alongside the government's ₹10,000 crore investment in GPU infrastructure, are promising steps toward resolution.
• The scarcity of local Large Language Models (LLMs) is also a concern, but the emergence of native LLMs from Indian companies like Krutrim and Sarvam AI indicates growing capabilities in this area.

For India to fully leverage GenAI's potential, a unified approach focusing on education, skill enhancement, and infrastructure development is essential. The combined efforts of the government, the private sector, and educational bodies are crucial for establishing a robust GenAI ecosystem in the country.