Adani Group Unveils $100 Billion Plan for AI-Ready Data Centres

Adani Group has announced a massive $100 billion investment to build renewable-energy-powered, AI-ready data centre infrastructure by 2035. The move aims to position India as a global hub in the rapidly evolving artificial intelligence economy.

The group described the plan as one of the world’s largest integrated energy-compute commitments, combining renewable power generation with hyperscale AI infrastructure.

$250 Billion AI Infrastructure Ecosystem Vision

According to the company, the $100 billion investment is expected to catalyse an additional $150 billion across:

• Server manufacturing

• Sovereign cloud platforms

• Electrical infrastructure

• Related supply-chain industries

Together, this could create a $250 billion AI infrastructure ecosystem in India over the next decade.

The announcement reflects the growing global trend of integrating energy capacity with compute infrastructure, as AI workloads require unprecedented levels of power and cooling.

Expansion of Data Centre Capacity: From 2 GW to 5 GW

The roadmap builds on AdaniConnex’s existing 2 GW national data centre platform, with a target to expand to 5 GW of capacity.

Strategic Partnerships

The group has partnered with:

• Google to develop a gigawatt-scale AI data centre campus in Visakhapatnam, along with additional campuses in Noida

• Microsoft for facilities in Hyderabad and Pune

The company is also in discussions with other global players for additional large-scale campuses across India.

Separately, the group will deepen its partnership with Flipkart to develop a second high-performance AI data centre aimed at supporting next-generation digital commerce workloads and large-scale computing needs.

Leadership Vision: 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,” he added. “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.”

Integrated Energy + Compute Architecture

Renewable-Powered AI Infrastructure

The planned deployment will integrate:

• Renewable power generation

• Transmission systems

• Hyperscale AI compute infrastructure

Facilities will be designed for:

• High-density compute clusters

• Next-generation AI workloads

• Liquid cooling systems

• Energy-efficient power architectures

Dedicated capacity will also be reserved for Indian large language models and national data initiatives to support long-term data sovereignty.

Renewable Energy Backbone: 30 GW Khavda Project

To support the rising energy intensity of AI workloads, the strategy will leverage the group’s renewable portfolio, including the 30 GW Khavda project, of which more than 10 GW is already operational.

The group has also committed an additional USD 55 billion investment to expand renewable energy capacity, including large battery energy storage systems to ensure reliability and grid stability.

This renewable integration is critical as global AI data centres increasingly face scrutiny over carbon emissions and sustainability standards.

Strengthening Domestic Manufacturing & Supply Chains

The company said it will co-invest in domestic manufacturing of critical infrastructure components such as:

• Transformers

• Power electronics

• Grid systems

This approach aims to reduce global supply-chain risks while strengthening India’s industrial ecosystem.

Additionally, a portion of GPU capacity will be reserved for:

• Indian startups

• Research institutions

• Deep-tech firms

This move is designed to democratise access to high-performance computing within the country.

Academic Partnerships and Skill Development

Recognising the talent gap in AI infrastructure engineering, the group plans to collaborate with academic institutions to develop:

• Specialised AI infrastructure engineering programmes

• Applied research laboratories

• Fellowship initiatives

The goal is to build long-term domestic capability and reduce reliance on imported expertise.

Strategic Significance for India

India’s digital economy is expanding rapidly, driven by AI adoption, cloud growth, digital commerce, fintech innovation and government-led digital initiatives. With AI workloads becoming increasingly compute- and energy-intensive, large-scale integrated infrastructure is essential.

By combining renewable energy leadership with hyperscale data centre expansion, the Adani Group aims to position India as:

• A global AI infrastructure hub

• A sovereign cloud ecosystem builder

• A renewable-powered compute powerhouse

Conclusion

The Adani Group’s $100 billion AI infrastructure investment represents one of the most ambitious technology and energy integration plans in India’s history. With partnerships spanning Google, Microsoft and Flipkart, and expansion targets of 5 GW capacity backed by renewable energy projects, the initiative aims to create a $250 billion AI ecosystem.

By aligning compute expansion with green energy development and domestic manufacturing, the strategy reflects a long-term vision to make India a leader in the global artificial intelligence economy.