Adani Commits USD 100 bn to Sovereign AI Infrastructure

20 Feb 2026 CW Team

The investment is expected to catalyse an additional USD 150 billion (USD 150 bn) across server manufacturing, electrical infrastructure and sovereign cloud services by 2035, creating a USD 250 billion (USD 250 bn) AI infrastructure ecosystem. The group intends to expand an existing two gigawatt (GW) national data centre platform towards a five GW target to meet demand for high density processing, with dedicated capacity to support Indian large language models and national data initiatives.

The integrated model will combine renewable power generation, transmission infrastructure and hyperscale compute within a coordinated architecture optimised for high density clusters and next generation AI workloads. The roadmap references partnerships to establish gigawatt scale campuses in Visakhapatnam, Noida, Hyderabad and Pune and an expanded collaboration with Flipkart on a second high performance AI data centre. Facilities are planned with liquid cooling, high efficiency power architecture and reliable networks to ensure stability and uptime.

The group will leverage its renewable advantage centred on Adani Green Energy’s 30 GW Khavda project, of which over 10 GW is already operational, and commit a further USD 55 billion (USD 55 bn) to expand renewables and battery energy storage systems. Strategic connectivity through cable landing stations and port networks is intended to deliver low latency integration with global markets. Co investment in domestic manufacturing of critical components is proposed to derisk supply chains and support exports.

Talent initiatives will establish specialised AI infrastructure engineering curricula, applied research labs and a national fellowship programme to address the skills gap and support deep tech innovation. A portion of GPU capacity will be reserved for Indian AI startups, research institutions and entrepreneurs to alleviate compute scarcity. The group has invited global technology companies and sovereign partners to participate in building the platform.

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 by 2035. The programme is described as a sovereign energy and compute platform to position India as a global leader in the emerging Intelligence Revolution. The investment is expected to catalyse an additional USD 150 billion (USD 150 bn) across server manufacturing, electrical infrastructure and sovereign cloud services by 2035, creating a USD 250 billion (USD 250 bn) AI infrastructure ecosystem. The group intends to expand an existing two gigawatt (GW) national data centre platform towards a five GW target to meet demand for high density processing, with dedicated capacity to support Indian large language models and national data initiatives. The integrated model will combine renewable power generation, transmission infrastructure and hyperscale compute within a coordinated architecture optimised for high density clusters and next generation AI workloads. The roadmap references partnerships to establish gigawatt scale campuses in Visakhapatnam, Noida, Hyderabad and Pune and an expanded collaboration with Flipkart on a second high performance AI data centre. Facilities are planned with liquid cooling, high efficiency power architecture and reliable networks to ensure stability and uptime. The group will leverage its renewable advantage centred on Adani Green Energy’s 30 GW Khavda project, of which over 10 GW is already operational, and commit a further USD 55 billion (USD 55 bn) to expand renewables and battery energy storage systems. Strategic connectivity through cable landing stations and port networks is intended to deliver low latency integration with global markets. Co investment in domestic manufacturing of critical components is proposed to derisk supply chains and support exports. Talent initiatives will establish specialised AI infrastructure engineering curricula, applied research labs and a national fellowship programme to address the skills gap and support deep tech innovation. A portion of GPU capacity will be reserved for Indian AI startups, research institutions and entrepreneurs to alleviate compute scarcity. The group has invited global technology companies and sovereign partners to participate in building the platform.

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