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Adani noted that the expansion builds on AdaniConnex’s existing 2 GW national data center platform, with plans to scale to 5 GW
In sum – what to know:
$100bn direct AI infrastructure bet – Investment targets 5 GW of renewable-powered, hyperscale AI-ready data center capacity by 2035.
$250bn projected ecosystem impact – Program expected to unlock an additional $150bn across manufacturing, cloud, and supporting industries.
Integrated energy-compute model – Combines green power, grid resilience, and sovereign compute to strengthen India’s AI and data sovereignty strategy.
Indian conglomerate Adani Group has unveiled a $100 billion investment program aimed at building renewable-energy-powered, hyperscale AI-ready data centers across India by 2035, in what it describes as one of the world’s largest integrated energy-and-compute commitments.
The Indian giant noted that the initiative is designed to create a sovereign energy and digital backbone capable of supporting India’s long-term AI ambitions. This is the focus of this week’s AI India Impact Summit.
Adani expects the direct investment to catalyze an additional $150 billion across server manufacturing, advanced electrical systems, sovereign cloud platforms, and related industries. Combined, this would amount to a projected $250 billion AI infrastructure ecosystem over the next decade.
The expansion builds on AdaniConnex’s existing 2 GW national data center platform, with plans to scale to 5 GW. Key partnerships include collaborations with Google for a gigawatt-scale AI data center campus in Visakhapatnam, additional campuses in Noida, and projects with Microsoft in Hyderabad and Pune. Adani is also expanding its relationship with Flipkart to develop a second AI-focused facility tailored to high-performance computing and large-scale AI workloads.
Unlike traditional data center rollouts, the 5 GW program is structured as a fully integrated model, combining renewable power generation, grid resilience, transmission infrastructure and high-density compute within a coordinated architecture. Facilities will be optimized for large AI clusters using advanced liquid cooling and high-efficiency power systems. Dedicated capacity will support Indian large language models and national data initiatives, reinforcing data sovereignty objectives, according to Adani.
The plan leverages Adani Green Energy’s 30 GW Khavda renewable project—more than 10 GW of which is already operational—alongside a further $55 billion commitment to expand renewable capacity and battery energy storage systems.
Adani Group also highlighted that it will reserve a portion of GPU capacity for Indian startups, research institutions and deep-tech ventures to ease compute constraints.
In parallel, the company plans to work with academic institutions to launch specialized AI infrastructure engineering programs and applied research labs, aiming to build domestic expertise in high-performance compute and energy integration.
Gautam Adani, chairman of the Adani Group, said: “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 center 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.”
In April 2025, a Bloomberg report noted that Adani Group was preparing to inject another $10 billion into India’s data center infrastructure. The move is part of Adani’s broader strategy to capture a rising wave of demand driven by artificial intelligence (AI) applications and business process outsourcing (BPO) services, the report noted.
