Adani commits USD 100 bn to build green powered AI data centres

Adani Group to invest USD 100 bn in renewable-powered AI data centres by 2035, targeting a USD 250 bn ecosystem
Alt="Gautam Adani"
Gautam Adani (File photo)Energy Watch
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New Delhi: The Adani Group on Tuesday announced a direct investment of USD 100 billion to develop renewable-energy-powered, hyperscale AI-ready data centres by 2035, positioning the initiative as one of the world’s largest integrated energy-compute commitments. The Ahmedabad-based conglomerate said in a statement that the investment will create a long-term sovereign energy and compute platform aimed at positioning India as a global leader in the emerging “Intelligence Revolution.”

"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 group said the USD 100 billion commitment is expected to catalyse an additional USD 150 billion across server manufacturing, advanced electrical infrastructure, sovereign cloud platforms and allied industries by 2035, creating a projected USD 250 billion AI infrastructure ecosystem over the decade.

Expanding to a 5 GW national data centre platform

The roadmap builds on AdaniConnex’s existing 2 GW national data centre capacity, with expansion plans targeting 5 GW. The group’s strategy is anchored by partnerships with Google to establish a gigawatt-scale AI data centre campus in Visakhapatnam and additional campuses in Noida, and with Microsoft spanning Hyderabad and Pune.

Adani also said it will deepen its collaboration with Flipkart, advancing plans to develop a second AI data centre purpose-built for high-performance computing, digital commerce and large-scale AI workloads.

The planned 5 GW deployment is positioned as the world’s largest integrated data centre platform, combining renewable power generation, transmission infrastructure and hyperscale AI compute within a coordinated architecture.

Integrated renewable energy and compute stack

Unlike conventional data centre expansions, the group said the programme is designed as a unified energy-and-compute ecosystem where generation, grid resilience and high-density processing capacity are developed in parallel.

Facilities will be optimised for high-density compute clusters and next-generation AI workloads, supported by advanced liquid cooling systems and high-efficiency power architecture. Dedicated compute capacity will support Indian Large Language Models (LLMs) and national data initiatives to ensure long-term data sovereignty.

The renewable backbone of the programme will draw from Adani Green Energy’s 30 GW Khavda project, of which over 10 GW is already operational, said the statement. The group also committed an additional USD 55 billion investment to expand its renewable portfolio, including one of the world’s largest battery energy storage systems (BESS).

Strategic connectivity through cable landing stations, including those at Adani-operated ports, is expected to enable low-latency global integration with the Americas, Europe, Africa and Asia.

Domestic manufacturing and supply chain resilience

To mitigate global supply-chain volatility, the Adani Group said it will co-invest in domestic manufacturing partnerships for critical infrastructure components such as high-capacity transformers, advanced power electronics, grid systems, inverters and industrial thermal management solutions.

The group said this approach will position India not only as a data hub but also as a producer and exporter of next-generation intelligence and compute infrastructure.

Supporting startups and AI talent development

As part of what it described as India’s five-layer AI architecture—applications, models, chips, energy and data centres—the Group said a significant portion of GPU capacity will be reserved for Indian AI startups, research institutions and deep-tech entrepreneurs to address compute scarcity.

Alt="Gautam Adani"
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It also plans to work with academic institutions to establish specialised AI Infrastructure Engineering curricula, applied AI research labs focused on energy and logistics, and a national fellowship programme to bridge the skills gap.

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The Adani Group said it is inviting global technology companies, sovereign institutions and innovation partners to collaborate in building India’s next-generation AI infrastructure platform.

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