Adani unveils $100 billion AI infrastructure plan, all powered by renewable energy: Hyperscale data centres to be ready by 2035

The Adani Group has announced a landmark USD 100 billion direct investment plan in the country on Tuesday, 17 February, to build renewable-energy-powered, hyperscale AI-ready data centres by 2035, positioning India as a global leader in the Artificial Intelligence Revolution.

The initiative, described as one of the world’s largest integrated energy-compute commitments, will expand AdaniConneX’s existing 2 GW national data centre platform toward a 5 GW target. The plan is structured to catalyse an additional USD 150 billion in manufacturing, servers, sovereign cloud services and supporting industries, creating a USD 250 billion AI infrastructure ecosystem in India over the decade.

Chairman Gautam Adani emphasised India’s unique potential to master the critical symmetry between energy and compute, stating: “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 program plans to integrate renewable power from Adani Green Energy’s Khavda project, advanced grid resilience and high-density compute clusters optimised for next-generation AI workloads. Strategic partnerships with Google, Microsoft and an expanded collaboration with Flipkart will anchor gigawatt-scale AI datacentre campuses across Visakhapatnam, Noida, Hyderabad and Pune.

Dedicated GPU capacity will support Indian startups, research institutions and national Large Language Models, while new talent initiatives aim to build specialised AI infrastructure engineering capabilities.

The conglomerate expects that the 5 GW deployment will create the world’s largest integrated datacentre platform, combining renewable power generation, transmission infrastructure and hyperscale AI compute within a single coordinated architecture.

Long-term data sovereignty has been cited as a key goal by the Adani Group, adding that their dedicated compute capacity will support Indian Large Language Models (LLMs) and national data initiatives.