India has launched an aggressive push to attract more than $200 billion in artificial intelligence infrastructure investment over the next two years. The goal is to position the nation as a global hub for AI computing and applications at a time when capacity, capital, and regulation are becoming strategic assets.
The plans were outlined by India’s IT minister Ashwini Vaishnaw at the government-backed AI Impact Summit in New Delhi. The event was attended by senior executives from OpenAI, Google, Anthropic, and other global technology firms. To attract investment, the government is rolling out a mix of tax incentives, state-backed venture capital, and policy support aimed at pulling more of the global AI value chain into the country.
India’s pitch comes as U.S. technology giants, including Amazon, Google, and Microsoft, have already committed about $70 billion to expand AI and cloud infrastructure in the country. This gives New Delhi a foundation to argue it can combine scale, cost advantages, and policy incentives to attract the next wave of global AI computing investment.
While the bulk of the projected $200 billion is expected to flow into AI infrastructure like data centers, chips, and supporting systems, the minister also anticipates an additional $17 billion of investment into deep-tech and AI applications. This highlights a push to move beyond infrastructure and capture more of the value chain.
The effort is backed by recent policy decisions. These include long-term tax relief for export-oriented cloud services and a government-backed venture program of about $1.1 billion targeting high-risk areas such as AI and advanced manufacturing. New Delhi has also extended the period for which deep-tech companies qualify as startups to 20 years and raised the revenue threshold for startup-specific benefits.
Minister Vaishnaw noted that venture capitalists are committing funds for deep-tech startups, large applications, and further research in cutting-edge models. India plans to scale its shared compute capacity under the India AI Mission beyond its existing 38,000 GPUs, with an additional 20,000 units to be added soon.
Looking ahead, the Indian government is preparing a second phase of its AI Mission. This phase will have a stronger focus on research and development, innovation, and wider diffusion of AI tools, alongside further expansion of shared compute capacity to broaden access beyond a small group of companies.
The push also faces structural challenges, including access to reliable power and water for energy-intensive data centers. This underlines the execution risks as India seeks to compress years of AI infrastructure build-out into a much shorter timeframe.
Vaishnaw acknowledged those challenges, stating the government was aware of the pressure AI infrastructure would place on resources. He pointed to India’s energy mix, with more than half of installed generation capacity coming from clean sources, as an advantage as demand from data centers rises.
Whether India can deliver on that vision will matter well beyond its borders, as companies seek new locations for AI computing amid rising costs, capacity constraints, and intensifying global competition.