Adani’s $100 billion plan for renewable-powered AI data centres seen as game-changer for India
Company is in talks with Flipkart to develop a second AI-focused facility tailored for high-performance digital commerce and large-scale AI workloads
Adani’s $100 billion plan for renewable-powered AI data centres seen as game-changer for India
Mega projects such as the Adani Group’s $100 billion plan to build renewable-powered, AI-ready hyperscale data centres by 2035 have the potential to reshape India’s role in the global AI economy, according to an article published in the Carbon Credits.com news portal.
“First and foremost, the scale of investment stands out. Adani’s direct $100 billion commitment is expected to catalyse another $150 billion across server manufacturing, advanced electrical systems, sovereign cloud platforms, and related industries. As a result, India could see the creation of a $250 billion AI infrastructure ecosystem over the next decade,” the article states.
The Adani Group plans to expand its existing 2 GW national footprint toward a 5 GW target. Consequently, India could emerge as one of the world’s largest integrated renewable-powered AI data centre platforms.
The article highlights the strategic partnerships that the Adani Group has forged, including with US tech giant Google to build a gigawatt-scale AI data centre campus in Visakhapatnam and a collaboration with Microsoft on major campuses in Hyderabad and Pune. In addition, the company is in talks with Flipkart to develop a second AI-focused facility tailored for high-performance digital commerce and large-scale AI workloads.
The article points out that, unlike traditional data centre projects, this 5 GW rollout integrates renewable power generation, transmission networks, storage systems, and hyperscale AI computing within a single coordinated architecture. This will enable the vital energy back-up to expand along with the power-hungry compute capacity to expand jointly, not separately
“This approach matters because AI workloads are becoming increasingly energy-intensive. Modern AI racks often draw 30 kW or more per unit,” the article states.
Data sovereignty also remains a priority. Dedicated compute capacity will support Indian large language models and national data initiatives.
