Adani Group commits $100B to build AI-ready data centres by 2035

The Adani Group has unveiled a $100-billion investment plan to develop renewable-energy-powered, hyperscale AI-ready data centres by 2035, making it one of the world's largest integrated energy-compute commitments.

The initiative is expected to catalyse an additional $150 billion across server manufacturing, cloud platforms, and supporting industries, creating a projected $250 billion AI infrastructure ecosystem in India, Adani Enterprises, the group's flagship firm, said in a statement.

"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, he said, 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," he said.

The roadmap builds on AdaniConneX's 2 GW national data centre platform, expanding towards a 5 GW target. The more than doubling of the data centre capacity is anchored on recently struck partnerships with Google for setting up the nation's largest gigawatt-scale AI data centre campus in Visakhapatnam, and with Microsoft for similar facilities in Hyderabad and Pune.

"The Adani Group is in discussion with other major players seeking to establish large-scale campuses across India," the statement said without giving details.

The conglomerate is also deepening collaboration with Flipkart to develop a second AI data centre to support high-performance AI workloads and next-generation digital commerce.

The Adani Group will invest $55 billion to expand renewable energy, including in one of the world's largest battery energy storage systems. It will also co-invest in domestic manufacturing of critical infrastructure components to strengthen India’s self-reliance in AI infrastructure.

"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 programme is designed as a unified energy-and-compute ecosystem, where generation, grid resilience and high-density processing capacity are developed in parallel," the statement said.

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.

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 $55 billion to expand its renewable energy portfolio, which will include one of the world's largest battery energy storage systems (BESS)," the statement said.

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.

To reduce exposure to global supply-chain volatility, the Adani Group will also co-invest in domestic manufacturing partnerships of critical infrastructure components, including high-capacity transformers, advanced power electronics, grid systems, inverters and industrial thermal management solutions.

"This approach positions India not only as a data hub, but as a producer and exporter of next-generation intelligence and compute infrastructure," the statement said.

Recently, Neysa, an AI cloud provider, announced a capital raise totalling $1.2 billion. The investment will enable Neysa to deploy more than 20,000 specialised graphics processing units (GPUs), across the country. These purpose-built systems are essential for organisations that need to train and run complex AI models.

Meanwhile, globally, Big Tech firms are locked in an AI infrastructure arms race, pouring hundreds of billions into data centres, custom chips, and power in a long-term bet on competitive advantage that brings rising risks of overcapacity, energy constraints, and investor scrutiny.

(With inputs from PTI)