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Experts say that new chipsets and techniques are evolving fast, and if processes for data collection are not sped up, India would be left behind.

India's success in the global AI race depends on open data, open compute, and open models. The government needs to invest in creating enabling conditions, including solving the compute crunch, supporting startups, and prioritizing critical sectors. Existing frameworks are sufficient to regulate AI.

Abhishek Singh, president and CEO, National eGovernance Division, and managing director and CEO, Digital India Corporation, said India already has many startups developing AI solutions in agriculture, health care, education and so on. The government’s role will be to support them in scaling up, bring them to the level of maturity and enable them to explore global markets.

From designing AI chipsets to developing applications in agriculture and health, a government-appointed group of experts have come out with a strategy to help boost India in the AI race

The 2022 Draft India Data Policy suggested monetising data sharing but the government dropped the idea amid criticism that the idea conflicted with open government data principles