By Enersider Desk | New Delhi
Adani Group, in an official statement, announced a USD 100 billion investment to develop renewable energy-powered, hyperscale AI-ready data centres by 2035, in what it described as one of the world’s largest integrated energy-compute commitments.
The initiative aims to establish a long-term sovereign energy and compute platform to position India as a global player in the emerging artificial intelligence ecosystem.
According to the statement, the investment is expected to catalyse an additional USD 150 billion across server manufacturing, advanced electrical infrastructure, sovereign cloud platforms and related industries by 2035, creating a projected USD 250 billion AI infrastructure ecosystem over the decade.
Chairman Gautam Adani said nations that align energy and compute capabilities would shape the next phase of technological growth.
“At Adani, we are building on our foundation in data centres and green energy to expand into the complete five-layer AI stack focused on India’s technological sovereignty. India will not be a mere consumer in the AI age. We will be the creators, the builders and the exporters of intelligence and we are proud to be able to participate in that future,” he added further.
The roadmap builds on AdaniConnex’s existing 2 GW national data centre capacity and outlines an expansion to 5 GW. The group has partnered with Google to establish a gigawatt-scale AI data centre campus in Visakhapatnam, along with additional campuses in Noida.
It has also tied up with Microsoft for campuses in Hyderabad and Pune. Discussions are underway with other technology firms for large-scale facilities across the country.
The group will further deepen its data centre partnership with Flipkart to develop a second AI-focused data centre to support digital commerce and high-performance computing requirements.
According to the statement, the 5 GW deployment is designed as an integrated platform combining renewable power generation, transmission infrastructure and hyperscale AI compute.
Facilities will support high-density compute clusters and AI workloads, incorporating advanced liquid cooling systems and high-efficiency power architecture. Dedicated compute capacity will be earmarked for Indian large language models and national data initiatives.
The renewable energy backbone will include projects such as Adani Green Energy’s 30 GW Khavda development, with over 10 GW already operational. The company also plans to invest an additional USD 55 billion to expand its renewable portfolio, including large-scale battery energy storage systems.
To mitigate supply-chain risks, the conglomerate said it will co-invest in domestic manufacturing of key infrastructure components such as high-capacity transformers, advanced power electronics, grid systems and thermal management solutions.
The initiative is aligned with the Centre’s infrastructure push under the PM Gati Shakti programme. The group said it will integrate AI across logistics, ports and industrial operations to enhance efficiency and support data sovereignty objectives.
The company added that a portion of GPU capacity will be reserved for Indian startups, research institutions and deep-tech firms to address compute shortages. It also plans to collaborate with academic institutions to establish AI infrastructure engineering programmes, research labs and fellowship initiatives.
The group invited global technology companies and sovereign institutions to participate in the development of India’s AI infrastructure platform.
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