Adani Group has announced a $100 billion investment plan to build renewable-powered, hyperscale AI-ready data centres across India by 2035, positioning the country to strengthen control over its compute infrastructure and compete in the evolving global intelligence economy.
The direct investment is expected to catalyse an additional $150 billion across allied sectors such as manufacturing, cloud services, electrical systems and digital infrastructure. Together, this could create a projected $250 billion AI infrastructure ecosystem over the next decade.
The initiative is designed to establish a sovereign energy and compute backbone capable of supporting advanced AI workloads, while reducing reliance on foreign cloud infrastructure. By integrating renewable energy generation with high-density computing capacity, the Group aims to build a unified architecture that aligns energy production and AI processing requirements.
“The world is entering an Intelligence Revolution more profound than any previous Industrial Revolution,” said Gautam Adani, Chairman of the Adani Group. “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 roadmap expands AdaniConnex’s existing 2 GW national data centre platform toward a 5 GW target. Major campuses are planned in Visakhapatnam and Noida. The Group is working with global technology players including Google and Microsoft, while discussions continue with other hyperscale operators.
Collaboration with Flipkart is also being expanded to develop a second high-performance AI data centre to support next-generation digital commerce and large-scale AI workloads.
Unlike traditional facilities, these data centres will incorporate liquid cooling systems and high-efficiency power designs to manage the intense energy requirements of GPU-driven AI processing.
AI workloads are rapidly increasing electricity consumption worldwide. The Adani platform will leverage Adani Green Energy’s 30 GW Khavda renewable energy project, with more than 10 GW already operational. An additional $55 billion has been committed to expanding the renewable portfolio, including large-scale battery energy storage solutions.
Strategic connectivity will be enabled through cable landing stations at Adani-operated ports, facilitating low-latency links with digital networks across the Americas, Europe, Africa and Asia.
To mitigate geopolitical and supply chain risks, the Group plans to co-invest in domestic manufacturing of critical infrastructure components such as transformers, grid systems, power electronics and thermal management technologies. This approach aims to position India not only as a data hub but also as a producer and exporter of advanced compute infrastructure.
The programme aligns with India’s broader digital infrastructure and industrial ambitions. By embedding AI capabilities into logistics networks, ports and industrial corridors, the Group seeks to enhance operational efficiency while reinforcing data sovereignty and secure automation.
Dedicated GPU capacity will be allocated for Indian AI startups, research institutions and deep-tech innovators to address compute shortages and enable domestic model development.
In partnership with academic institutions, Adani plans to introduce specialised AI infrastructure engineering programmes, applied research labs focused on energy and logistics, and a national fellowship initiative to address skills gaps.
Industry experts note that generative AI is reshaping the physical foundations of computing. Training frontier models and running large-scale inference require ultra-dense hardware configurations and continuous high-load operations. As Manish Rawat, semiconductor analyst at TechInsights, explains: “Unlike legacy environments designed for web services and enterprise workloads, AI-ready data centres prioritise massively parallel processing using GPUs and AI accelerators, supported by dense rack configurations. They demand ultra-high intra-cluster bandwidth and low-latency networking, often requiring customised fabric architectures beyond conventional east-west traffic models.”
As India’s data centre market undergoes a structural shift toward AI-focused infrastructure, Adani Group’s $100 billion commitment represents one of the largest long-term investments in positioning the country as a global AI compute hub.
