Adani Group Announces $100 Billion Renewable-Powered AI Infrastructure Vision

The Adani Group has unveiled an ambitious plan to invest $100 billion in building renewable-energy-powered, AI-ready hyperscale data centres across India by 2035. The initiative is designed to integrate clean energy generation, transmission systems, and high-performance computing infrastructure into a unified ecosystem capable of supporting next-generation artificial intelligence technologies. The announcement reflects a growing recognition that access to both computing power and energy will define global leadership in the AI era.

Chairman Gautam Adani described the current technological transformation as an “Intelligence Revolution,” emphasising that nations capable of combining large-scale energy capacity with advanced computing infrastructure will shape the future digital economy. The project aims to position India not only as a consumer of AI technologies but also as a creator and exporter of advanced digital capabilities.

Adani Group Unveils $100 Billion Plan to Build India’s Sovereign AI and Renewable Energy Backbone by 2035 | Financial Express

Expansion of Hyperscale Data Centre Capacity

The investment builds upon the group’s existing data-centre platform developed through AdaniConnex, which currently has approximately 2 gigawatts of operational and planned capacity. The long-term goal is to expand this to 5 gigawatts nationwide, potentially creating one of the largest integrated AI-focused data-centre ecosystems globally.

These facilities are expected to support advanced AI workloads, large language models, and high-density GPU clusters required for research, enterprise applications, and government initiatives. A portion of the computing capacity is also planned to be reserved for Indian startups, academic institutions, and innovation programs to address the country’s shortage of large-scale AI computing resources.

Renewable Energy Integration as a Strategic Advantage

A defining feature of the project is its renewable-energy backbone. The data centres will draw power from the group’s expanding clean-energy portfolio, including the massive Khavda Renewable Energy Park, which is expected to become one of the world’s largest renewable energy installations. The company is also investing heavily in battery storage and grid stability technologies to ensure uninterrupted power supply for energy-intensive AI computing operations.

This integration of energy and digital infrastructure represents a strategic advantage, as AI workloads require enormous and reliable electricity consumption. By combining both sectors, the initiative aims to deliver cost efficiency, sustainability, and long-term scalability.

Global Partnerships and Infrastructure Locations

The roadmap includes collaborations with leading global technology companies. Partnerships with Google are expected to support the development of a large AI campus in Visakhapatnam, while collaborations with Microsoft are planned across cities such as Hyderabad and Pune. The group is also expanding cooperation with Flipkart to support digital commerce infrastructure and AI workloads. Additional facilities are expected in the Noida region and other strategic technology hubs.

These partnerships are intended to attract global cloud providers, enterprise customers, and AI research organisations, strengthening India’s position as a global digital infrastructure destination.

Domestic Manufacturing and Skill Development

Beyond infrastructure construction, the initiative includes plans to develop domestic manufacturing capabilities for critical components such as transformers, cooling systems, and power electronics. This approach aims to reduce reliance on global supply chains while strengthening India’s industrial ecosystem.

The company also plans to collaborate with universities and technical institutions to create specialised training programs focused on AI infrastructure engineering, data-centre operations, and advanced energy systems. Such initiatives are expected to generate high-skill employment and build long-term technological expertise within the country.

Economic Impact and Strategic Importance

Industry analysts believe the $100 billion investment could catalyse an additional $150 billion across related sectors, including semiconductor-adjacent manufacturing, cloud services, and electrical equipment supply chains. This could potentially create a broader $250 billion AI ecosystem over the next decade, significantly contributing to economic growth and technological independence.

The initiative also aligns with India’s broader push toward digital sovereignty, where domestic infrastructure supports national data, innovation, and emerging technologies without excessive dependence on foreign computing resources.

The MGMM Outlook

The announcement by the Adani Group highlights how control over energy and computing infrastructure is becoming central to geopolitical and economic influence in the artificial intelligence era. By committing massive investment toward renewable-powered hyperscale data centres, the initiative signals a transition in India’s technological ambitions—from being largely dependent on foreign digital platforms to developing sovereign capabilities in high-performance computing. The emphasis on integrating clean energy with AI infrastructure also reflects a pragmatic recognition that future technological leadership will depend not only on software innovation but on the ability to sustain energy-intensive computing ecosystems at scale.

The plan also carries significant implications for domestic industry and innovation. Expanding capacity through platforms such as AdaniConnex while collaborating with global technology firms including Google and Microsoft could accelerate India’s emergence as a major digital infrastructure hub. At the same time, commitments toward local manufacturing, workforce development, and reserved computing access for startups and academic institutions suggest a broader strategy aimed at strengthening the national technology ecosystem rather than merely building commercial assets. If executed effectively, such efforts could reduce technological dependency, encourage indigenous innovation, and position India more competitively in the global AI economy.

(Sources: OpIndia, Financial Express, NDTV)