Unbelievable! Adani to invest $100 billion to develop sovereign AI infrastructure — Here’s what it means!

Meanwhile, Adani Enterprises Limited's shares jumped up by 3 percent following the announcement.

The group said the initiative will establish a long-term sovereign energy and computing platform designed to position India as a global leader in the emerging Intelligence Revolution.

The investment is expected to catalyse by 2035 an additional USD 150 billion across server manufacturing, advanced electrical infrastructure, sovereign cloud platforms and supporting industries. Together, this is projected to create a USD 250 billion AI infrastructure ecosystem in India over the decade.

"The world is entering an Intelligence Revolution more profound than any previous Industrial Revolution," said Gautam Adani, Chairman of the Adani Group.

He 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 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."

This roadmap builds on AdaniConnex's existing 2 GW national data centre, expanding toward a 5 GW target that positions India at the epicentre of the global AI economy.

The group said this vision is anchored by landmark partnerships with Google to establish the nation's largest gigawatt-scale AI data centre campus in Visakhapatnam, alongside additional campuses in Noida, and with Microsoft spanning Hyderabad and Pune.

The Adani Group is also in discussion with other major players seeking to establish large scale campuses across India thereby further cementing its position as India's premier AI infrastructure partner.

In line with this vision, the Group said it will also deepen its data centre partnership with Flipkart, advancing the collaboration toward the development of a second AI data centre purpose-built to support Flipkart's next-generation digital commerce, high-performance computing and large-scale AI workloads.

The World’s Largest Integrated Data Centre Platform

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

Unlike conventional data centre expansions, the program 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 large 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, ensuring long-term data sovereignty. Reliable transmission networks and advanced grid systems will underpin the platform, ensuring stability, scalability and uptime at hyperscale.

Leveraging India’s Renewable Advantage

As global AI workloads become increasingly energy-intensive, the Adani Group is uniquely positioned to provide the competitively priced, carbon-neutral power essential for this transition. Central to this strategy is Adani Green Energy’s 30 GW Khavda project, of which over 10 GW is already operational. In addition, the Group is committed to investing another USD 55 billion to expand its renewable energy portfolio, which will include one of the world's largest battery energy storage systems (BESS).

Strategic connectivity through cable landing stations, including at Adani’s network of ports, will ensure low-latency global integration with the Americas, Europe, Africa and Asia.

In line with India's five-layer AI architecture (Applications, Models, Chips, Energy and Data Centres), the Group will actively participate in partnerships across the full stack. A significant portion of GPU capacity will be reserved for Indian AI startups, research institutions and deep-tech entrepreneurs, alleviating compute scarcity and fostering a domestic innovation ecosystem.

Capitalising on India’s Talent

Working with leading academic institutions, the Adani Group said it will establish specialised AI Infrastructure Engineering curricula, applied AI research labs focused on energy and logistics and a national fellowship program to address the growing skills gap.