India Is Moving AI Into Production Faster Than Global Peers, Microsoft Executive Says
Microsoft CoreAI’s Jay Parikh said India’s developer scale, enterprise AI adoption and digital public infrastructure are positioning the country for the next phase of global AI deployment.
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India is moving AI from experimentation to production faster than many global peers, helped by its developer base, enterprise adoption and population-scale digital infrastructure, Jay Parikh, executive vice president of CoreAI at MicrosoftCorp., said.
In a blog post, titled “India and AI’s inflection point,” Parikh said India combines “developer velocity and scale,” an enterprise sector deploying AI in production faster than global peers, and digital public infrastructure built for population-level use.
“India is uniquely well-positioned for this moment,” Parikh wrote.
Parikh said Indian companies are moving AI from experiment to production “faster than most others in the rest of the world.”
Citing an EY-CII report from November 2025, he said 47% of Indian enterprises have multiple generative AI use cases live in production, while another 23% are in pilot stage.
EY-CII’s report also said Indian enterprises are embedding AI into core business workflows.
A Deloitte 2026 enterprise AI survey ranked India first among 15 countries for at-scale AI adoption. Nearly 40% of Indian respondents reported significant or full AI use, compared with a global average of 28%, Deloitte said.
“India isn’t just experimenting. It’s shipping,” Parikh wrote.
Microsoft also pointed to India’s developer ecosystem as a major advantage.
India has more than 27 million developers on GitHub, with more than 2 million joining in 2026, according to GitHub figures cited by Moneycontrol.
Indian developers have also made more than 7.5 million contributions to open-source AI projects on the platform.
Parikh said India-based founders are building AI products for global customers, citing startups including Sarvam AI, Krutrim and Qure.ai.
He also referred to Galleri5 founder and CEO Rahul Regulapati as an example of Indian founders building AI-native products for the agentic AI era.
India’s digital public infrastructure could also become a major advantage as AI moves into large-scale deployment, Parikh said.
UPI now processes more than 20 billion transactions a month, according to a 2025 NPCI-BCG report, while government data citing ACI Worldwide said UPI accounted for about 49% of global real-time payment transaction volume.
Parikh also cited India’s Direct Benefit Transfer system, which the government has said helped generate cumulative savings of ₹3.48 trillion by reducing leakages in welfare delivery.
“As AI converges with DPI, India is moving toward what could become the world’s first large-scale AI public infrastructure,” Parikh wrote.
The next phase of AI competition will be shaped less by who builds the most advanced models and more by who can deploy them at scale with trust and real-world impact, he said.
