In a major push to strengthen India’s AI infrastructure, the Adani Group has announced a $100 billion (roughly Rs. 9,07,300 crore) investment plan to build renewable energy-powered hyperscale AI-ready data centres by 2035. The announcement was made on the second day of the India AI Impact Summit 2026, which began on February 16 and will run until February 20. The rollout is planned over the next decade and is positioned as part of India’s broader strategy to develop domestic AI infrastructure.
In a press release issued on Monday, the group said the investment will expand its data centre capacity and create what it described as a “sovereign energy and compute platform” for India. It added that the programme could attract an additional $150 billion (roughly Rs. 13,61,100 crore) in related investments across server manufacturing, electrical infrastructure, sovereign cloud platforms, and other supporting industries by 2035. AdaniConneX will scale its existing 2GW national data centre platform to 5GW over the next decade.
The company is working with Google to build a large AI data centre campus in Visakhapatnam and additional facilities in Noida. It also confirmed partnerships with Microsoft for projects in Hyderabad and Pune. Collaboration with Flipkart will expand to develop a second high-performance AI data centre to support digital commerce and large-scale computing. The facilities will integrate renewable power, transmission networks, and AI compute capacity within a single system, using advanced cooling and high-efficiency power systems to support high-density compute clusters and next-generation AI workloads.
The strategy is linked to Adani Green Energy’s Khavda project, which has a planned capacity of 30GW, with more than 10GW already operational. The group also plans to invest another $55 billion (roughly Rs. 4,99,000 crore) to expand renewable generation and battery energy storage systems. It will co-invest in domestic manufacturing of transformers, power electronics, grid systems, inverters, and thermal management solutions to reduce supply chain risks. The company also plans partnerships with academic institutions for specialised AI infrastructure engineering programmes, applied research labs focused on energy and logistics, and a national fellowship initiative to address talent needs.
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