Adani Group commits $100B to expand AI data centre capacity to 5 GW by 2035
Plan integrates renewable energy generation, transmission and high-density AI compute; projects $250 billion AI infrastructure ecosystem over the decade.
The Adani Group has announced the investment of $100 billion to build renewable energy-powered, hyperscale AI-ready data centres by 2035, outlining what it describes as a long-term sovereign AI infrastructure strategy for India.
The Group states that the direct investment will expand national data centre capacity.
It will integrate renewable energy generation, transmission infrastructure and high-density AI compute within a single coordinated energy-and-compute architecture.
The company estimates that the programme will catalyse an additional $150 billion across server manufacturing, electrical infrastructure, sovereign cloud platforms and related supply chains.
Together, this is projected to create a $250 billion AI infrastructure ecosystem over the next decade.
Adani Group’s chairman, Gautam Adani, said, "The world is entering an Intelligence Revolution more profound than any previous Industrial Revolution. Nations that master the symmetry between energy and compute will shape the next decade. India is uniquely positioned to lead.”
“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."
The expansion builds on the existing 2 GW data centre platform operated through AdaniConnex.
The Group now targets 5 GW of national capacity, positioning the build-out around large AI workloads that require dedicated power supply, grid resilience and high-density compute environments.
Commits $55 billion investment to expand renewable energy portfolio
The roadmap includes a gigawatt-scale AI data centre campus in Visakhapatnam under a partnership with Google, additional campuses in Noida, and engagements with Microsoft across Hyderabad and Pune.
The Group also expands its data centre partnership with Flipkart to develop a second AI-focused facility designed to support high-performance computing and large-scale AI workloads.
On the energy side, the programme draws on Adani Green Energy’s 30 GW Khavda renewable project, with over 10 GW already operational.
The Group commits an additional $55 billion to expand its renewable portfolio, including battery energy storage systems (BESS).
It also integrates transmission networks and cable landing stations to ensure global connectivity and low-latency access.
To reduce supply chain dependence, the Group states it will co-invest in domestic manufacturing partnerships covering transformers, advanced power electronics, grid systems, inverters and thermal management infrastructure.
The objective is to localise critical components required for large AI data centre deployments.
Dedicated GPU capacity for Indian AI startups and research
A significant portion of GPU capacity across the 5 GW platform will be allocated to Indian AI startups, research institutions and deep-tech entrepreneurs.
The Group states that this allocation aims to address domestic compute shortages and support local model development and national data initiatives.
Adani says it will build on its existing AI-based industry cloud, which manages renewable energy assets in real time, to support its internal compute expansion.
It aligns parts of this rollout with the government’s PM Gati Shakti programme and plans to deploy AI systems across its logistics networks, ports and industrial corridors.
The objective is to improve operational visibility and automation across these assets.
Beyond infrastructure, it plans to work with academic institutions to introduce specialised AI infrastructure engineering curricula, applied research labs focused on energy and logistics, and fellowship programmes to build skills required for hyperscale AI environments.