Indian AI needs to focus on imagination, not imitation, to truly innovate and lead in the field. Instead of replicating existing breakthroughs like ChatGPT, India should take bold bets on hard, important problems that haven't been solved yet. This could include developing foundational models for complex areas like robotics, engineering design, weather prediction, drug discovery, and Indic languages.
Building models that understand and replicate human actions, such as grasping and moving objects, could transform manufacturing automation in industries. Similarly, creating models that generate smarter designs faster could be applicable to fields like automotive and aerospace. Developing models that can accurately predict weather patterns could benefit various industries, while models that can aid in discovering new drugs and treatments could revolutionize healthcare.
To achieve this, India needs a three-pronged AI innovation agenda. Firstly, it should focus on building foundational models for hard, impactful problems that address real-world challenges and opportunities. Secondly, it should develop AI experiences that are functional, valuable, and user-friendly, such as AI agents that can collaborate with humans effectively. Finally, it needs to be ready for the next shift in AI by shaping the future and staying ahead of the curve.
By adopting this approach, India can leverage its strengths in talent, scale, and imagination to rise up the AI value chain and become a leader in the global AI landscape. With the right focus and strategy, India can unlock the full potential of AI and drive innovation, growth, and progress in various fields.
