Adani Group has announced a landmark USD 100 billion direct investment to develop renewable-energy-powered, hyperscale AI-ready data centres by 2035, positioning India at the forefront of the global Intelligence Revolution. The initiative is being described as one of the world’s largest integrated energy-compute commitments at national scale.
The investment is expected to catalyse an additional USD 150 billion across server manufacturing, advanced electrical infrastructure, sovereign cloud platforms and supporting industries over the next decade. Together, the initiative could create a USD 250 billion AI infrastructure ecosystem in India.
Group Chairman Gautam Adani said nations that master the balance between energy and computation will shape the next decade. He emphasised that India must not remain a consumer in the AI age but become a creator, builder and exporter of intelligence, anchored in technological sovereignty.
The roadmap builds on AdaniConnex’s existing 2 GW national data centre platform, with expansion plans targeting 5 GW of integrated capacity. The company has partnered with Google to establish a gigawatt-scale AI data centre campus in Visakhapatnam, alongside facilities in Noida, and is working with Microsoft across Hyderabad and Pune. It is also expanding collaboration with Flipkart to build a second high-performance AI data centre to support next-generation digital commerce and large-scale AI workloads.
The 5 GW platform will integrate renewable power generation, grid resilience and hyperscale AI compute within a unified architecture. Facilities will be optimised for high-density compute clusters, advanced liquid cooling systems and next-generation AI workloads, with dedicated capacity for Indian large language models and sovereign data initiatives.
Central to the strategy is Adani Green Energy’s 30 GW Khavda renewable project, more than 10 GW of which is already operational. The Group has also committed an additional USD 55 billion to expand its renewable energy portfolio, including large-scale battery energy storage systems.
To strengthen supply-chain resilience, the Group plans co-investments in domestic manufacturing of transformers, advanced power electronics, grid systems and thermal management solutions. It also aims to embed AI across logistics, ports and industrial corridors aligned with national infrastructure programs.
A portion of GPU capacity will be reserved for Indian AI startups, research institutions and deep-tech innovators, while talent initiatives will establish specialised AI infrastructure engineering programs in collaboration with leading academic institutions.
With this commitment, the Adani Group is seeking to build a sovereign, integrated energy-and-compute backbone designed to power India’s AI ambitions for decades to come.
