Part 4/12:
He highlighted that building for the Indian market requires catering to increasingly demanding consumers, which blurs the line between building for India versus a global audience. Moreover, Ravi underscored that global AI infrastructure—such as data sets, compute resources, and research—vastly surpasses what is currently available in India, emphasizing a significant gap that needs addressing.
Beyond Funding: What Are the Fundamentals?
From the startup side, Sik pointed out that, in India, AI funding predominantly supports B2C and application-layer solutions rather than foundational models. He noted that even with abundant capital, developing core AI models requires millions of dollars—something that small startups might not afford easily.