Interpreting India cover image

Interpreting India

The Missing Pieces in India’s AI Puzzle: Talent, Data, and R&D

Mar 13, 2025
Anirudh Suri, a nonresident scholar with Carnegie India, delves into the crucial elements of India's AI landscape. He discusses how U.S. and China lead in AI, leaving India striving for recognition. Suri emphasizes that India's ambitions hinge on developing talent, enhancing research and development, and securing access to quality data. He suggests collaborative strategies, like creating research hubs and fostering international partnerships, to overcome challenges in talent migration and investment gaps, positioning India to thrive in the global tech arena.
48:50

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • India's AI ambitions hinge on addressing critical gaps in talent retention, data access, and R&D investment to compete globally.
  • Solutions like creating AI research hubs and encouraging international partnerships are essential for accelerating India's innovation in AI.

Deep dives

India's AI Mission and Geopolitical Ambitions

India launched its national AI mission to enhance its technological infrastructure, emphasizing the development of compute, data, talent, and R&D. This initiative aims to position India as a key player in the global AI landscape amid fierce competition from the US and China. Recent procurement of GPUs and the goal to build an Indian large language model reflect India's commitment to advancing its AI capabilities. However, the mission has highlighted critical gaps in talent, data access, and research and development that must be addressed to achieve its ambitions.

Remember Everything You Learn from Podcasts

Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
App store bannerPlay store banner