India’s Adani Group announced on Monday plans to invest US$100 billion by 2035 to develop renewable-energy-powered data centres tailored for Artificial Intelligence (AI) workloads. This marks one of the largest private commitments to digital infrastructure in the country.
The investment aims to create a sovereign energy and computing backbone to support India’s rapidly growing AI ecosystem. The group expects the initiative to spur an additional $150 billion in investments across servers, sovereign cloud platforms, advanced electrical systems, and related infrastructure, forming a projected US$250 billion AI ecosystem.
The roadmap will expand AdaniConnex’s existing national data centre capacity from 2 GW to 5 GW, integrating renewable energy generation, grid resilience, and high-density AI computing within a unified architecture.
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The group is partnering with Alphabet’s Google to develop a gigawatt-scale AI data centre campus in Visakhapatnam, Andhra Pradesh and is developing additional campuses in Noida in the Delhi-National Capital Region (NCR). It is also collaborating with Microsoft on projects in Hyderabad and Pune in the southern and western Indian states of Telangana and Maharashtra, respectively. Discussions with other global technology firms are underway to establish further AI campuses.
Adani Group’s Chairman Mr. Gautam Adani, said, “Nations that integrate energy and computing capacity would define the next phase of technological growth.”
The renewable energy backbone will be anchored by Adani Green Energy’s 30 GW Khavda project in Gujarat, of which more than 10 GW is operational. The group has separately committed an additional $55 billion to expand its renewable energy portfolio, including large-scale battery energy storage systems.
The data centres will incorporate advanced liquid cooling, high-efficiency power design and dedicated capacity for Indian large language models and national data initiatives to support data sovereignty. A portion of Graphics Processing Unit (GPU) capacity will be reserved for Indian AI start-ups, research institutions and deep-technology innovators.
