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    Home - AI & Tech - India bids to draw over $200B in AI infrastructure funding by 2028
    AI & Tech

    India bids to draw over $200B in AI infrastructure funding by 2028

    Naveed AhmadBy Naveed AhmadFebruary 17, 2026Updated:February 17, 2026No Comments4 Mins Read
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    India has set out an aggressive push to draw greater than $200 billion in artificial-intelligence infrastructure funding over the following two years, because it seeks to place itself as a worldwide hub for AI computing and functions at a time when capability, capital, and regulation have gotten strategic property.

    The plans have been outlined on Tuesday by India’s IT minister Ashwini Vaishnaw (pictured above) on the Indian government-backed five-day AI Influence Summit in New Delhi, attended by senior executives from OpenAI, Google, Anthropic, and different world expertise companies. To draw funding, the federal government is rolling out a mixture of tax incentives, state-backed enterprise capital, and coverage help geared toward pulling extra of the worldwide AI worth chain into the South Asian nation.

    India’s pitch comes as U.S. expertise giants, together with Amazon, Google, and Microsoft, have already committed about $70 billion to develop AI and cloud infrastructure within the nation, giving New Delhi a basis to argue it may well mix scale, price benefits, and coverage incentives to draw the following wave of worldwide AI computing funding.

    Whereas the majority of the projected $200 billion is predicted to circulate into AI infrastructure — together with knowledge facilities, chips, and supporting programs, and encompassing the round $70 billion already pledged by Massive Tech firms — Vaishnaw mentioned the Indian authorities additionally anticipates an extra $17 billion of funding into deep-tech and AI functions, highlighting a push to maneuver past infrastructure and seize extra of the worth chain.

    The trouble is backed by current coverage choices geared toward making India a extra enticing base for AI computing, together with long-term tax reduction for export-oriented cloud companies and a ₹100 billion (about $1.1 billion) government-backed enterprise program concentrating on high-risk areas akin to AI and superior manufacturing. Earlier this month, New Delhi additionally prolonged the interval for which deep-tech firms qualify as startups to twenty years and raised the income threshold for startup-specific advantages to ₹3 billion (about $33.08 million).

    “Now we have seen VCs committing funds for dtech startups,” Vaishnaw mentioned at a press briefing on the sidelines of the AI Influence Summit in New Delhi. “Now we have seen VCs and different gamers committing funds for large options, huge functions. Now we have seen VCs committing funds for additional analysis in cutting-edge fashions.”

    India plans to scale its shared compute capacity underneath the IndiaAI Mission past its present 38,000 GPUs, the minister mentioned, with an extra 20,000 items to be added within the coming weeks, signalling what he described as the following section of the nation’s AI technique.

    Trying forward, Vaishnaw mentioned the Indian authorities is getting ready a second section of its AI Mission, with a stronger concentrate on analysis and improvement, innovation, and wider diffusion of AI instruments, alongside additional growth of shared compute capability, as India seeks to broaden entry to AI infrastructure past a small group of firms.

    The push additionally faces structural challenges, together with entry to dependable energy and water for energy-intensive knowledge centres, underlining the execution dangers as India seeks to compress years of AI infrastructure build-out right into a a lot shorter timeframe.

    Vaishnaw acknowledged these challenges, saying the federal government was cognizant of the stress AI infrastructure would place on energy and water sources, and pointed to India’s power combine — with greater than half of put in era capability coming from clear sources — as a bonus as demand from knowledge facilities rises.

    Whether or not India can ship on that imaginative and prescient will matter effectively past its borders, as firms search new areas for AI computing amid rising prices, capability constraints, and intensifying world competitors.



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