Part 11/12:
Sedat articulated that the ecosystem must evolve to support risk-taking and rethink funding models for early-stage foundational research.
Key Takeaways and the Road Ahead
The discussion concluded that while the Indian AI ecosystem is still emerging, it possesses immense potential driven by skilled talent and an evolving digital infrastructure. The global comparison highlighted the importance of building sustained research capacity, fostering a risk-tolerant environment, and scaling infrastructure investment.
In summary:
The AI "gold rush" is real but requires focus on fundamentals for sustainable growth.
Ecosystem maturity in India hinges on infrastructure, risk-taking culture, and long-term investment in foundational research.