Adani Group has outlined a $100 billion long-term investment strategy to build renewable-powered, hyperscale data centres across India, marking one of the country’s most ambitious sovereign AI infrastructure commitments to date. The plan aims to integrate green energy generation with advanced computing capacity, positioning India as a major player in the fast-expanding global artificial intelligence economy.
The proposed rollout, extending to 2035, centres on the creation of a nationwide network of high-capacity facilities designed to handle AI workloads, cloud computing and data-intensive services. Group executives indicated the programme will combine renewable power assets, transmission systems and large-scale computing platforms into a unified architecture — a model increasingly viewed as critical as AI demand drives exponential growth in electricity consumption.Industry analysts estimate that AI-ready data centres can consume several times more energy than conventional facilities. By linking the expansion to renewable power generation, the conglomerate is seeking to mitigate carbon intensity risks while addressing concerns around grid reliability. Urban planners note that energy-compute integration will be central to sustainable digital growth, particularly as cities compete to host high-value technology infrastructure without straining public utilities.
The initiative builds on the group’s existing data centre portfolio and sets a multi-gigawatt capacity target over the next decade. Planned campuses are expected in established technology corridors including Visakhapatnam, Noida, Hyderabad and Pune, supported by partnerships with global cloud and technology firms. According to company projections, the initial $100 billion outlay could catalyse an additional $150 billion in allied industries such as server manufacturing, advanced electrical systems and sovereign cloud services.The broader AI infrastructure ecosystem envisioned under the programme is projected to create a cumulative market opportunity approaching $250 billion by the mid-2030s. Economic experts say such scale could reshape industrial supply chains, deepen domestic electronics manufacturing and generate high-skilled employment across construction, engineering and digital services.
From an urban development perspective, the concentration of hyperscale campuses may influence land use planning, water management and power distribution strategies in host cities. Data centres require significant cooling infrastructure, prompting calls for efficient water recycling and climate-responsive design standards. Sustainable construction materials and low-carbon energy sourcing will likely become key benchmarks as state governments compete for investment.A senior infrastructure analyst observed that sovereign AI infrastructure has emerged as a strategic priority for nations seeking digital autonomy. As global geopolitics increasingly intersects with technology supply chains, the localisation of compute capacity is viewed as essential to economic resilience.
For India, the challenge will be execution at scale — ensuring grid upgrades, environmental safeguards and inclusive employment frameworks keep pace with investment momentum. If delivered responsibly, the expansion of AI infrastructure could accelerate India’s transition into a clean-energy-driven digital economy while reshaping its urban industrial landscape for the next decade.
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Adani Group Unveils Sovereign AI Infrastructure Plan
