Adani Pledges USD 100 bn for Sovereign AI Infrastructure

20 Feb 2026 CW Team

The proposal builds on AdaniConneX's existing two GW national data centre platform and envisages expansion toward a five GW target to create the world's largest integrated data centre network. The programme links renewable generation, transmission infrastructure and hyperscale compute within a coordinated architecture that is optimised for high-density processing, advanced liquid cooling and high-efficiency power systems. Partnerships with global cloud and technology firms, alongside an expanded collaboration with Flipkart, will support campus development in Visakhapatnam, Noida, Hyderabad and Pune.

The Group will reserve dedicated compute capacity to support Indian large language models and national data initiatives, ensuring long-term data sovereignty and reducing dependence on foreign compute resources. Renewable capacity is central to the plan, anchored by Adani Green Energy's 30 GW Khavda project of which over 10 GW is already operational, and by a further USD 55 bn commitment to expand the renewable portfolio and deploy large battery energy storage systems. Strategic connectivity via cable landing stations and port infrastructure will provide low-latency links to the Americas, Europe, Africa and Asia.

The Group will co-invest in domestic manufacturing partnerships for transformers, power electronics, inverters and thermal management to derisk supply chains and build domestic capacity. Talent initiatives will include specialised AI infrastructure engineering curricula, research laboratories and fellowship programme to address skills gaps. A share of high-performance GPU capacity will be allocated to startups and research institutions to alleviate compute scarcity and foster innovation. The initiative invites collaboration from global technology companies and sovereign institutions to participate in building India’s AI infrastructure.

The Adani Group has announced a direct investment of USD 100 billion (USD 100 bn) to develop renewable-energy-powered, hyperscale AI-ready data centres in India by 2035. The commitment is expected to catalyse an additional USD 150 billion (USD 150 bn) across server manufacturing, advanced electrical infrastructure and sovereign cloud services, creating a USD 250 billion (USD 250 bn) AI infrastructure ecosystem over the decade. The initiative aims to establish a sovereign energy and compute platform designed to position India as a global leader in the emerging intelligence economy. The proposal builds on AdaniConneX's existing two GW national data centre platform and envisages expansion toward a five GW target to create the world's largest integrated data centre network. The programme links renewable generation, transmission infrastructure and hyperscale compute within a coordinated architecture that is optimised for high-density processing, advanced liquid cooling and high-efficiency power systems. Partnerships with global cloud and technology firms, alongside an expanded collaboration with Flipkart, will support campus development in Visakhapatnam, Noida, Hyderabad and Pune. The Group will reserve dedicated compute capacity to support Indian large language models and national data initiatives, ensuring long-term data sovereignty and reducing dependence on foreign compute resources. Renewable capacity is central to the plan, anchored by Adani Green Energy's 30 GW Khavda project of which over 10 GW is already operational, and by a further USD 55 bn commitment to expand the renewable portfolio and deploy large battery energy storage systems. Strategic connectivity via cable landing stations and port infrastructure will provide low-latency links to the Americas, Europe, Africa and Asia. The Group will co-invest in domestic manufacturing partnerships for transformers, power electronics, inverters and thermal management to derisk supply chains and build domestic capacity. Talent initiatives will include specialised AI infrastructure engineering curricula, research laboratories and fellowship programme to address skills gaps. A share of high-performance GPU capacity will be allocated to startups and research institutions to alleviate compute scarcity and foster innovation. The initiative invites collaboration from global technology companies and sovereign institutions to participate in building India’s AI infrastructure.

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