Adani Enterprises plans to invest $100 billion [1] to build AI-ready hyperscale data centres across India by 2035 [1].
This investment represents a strategic attempt to position India as a global hub for artificial intelligence. However, the scale of the build-out threatens to strain the nation's power grid and deplete critical freshwater resources.
An Adani Enterprises spokesperson said the company will invest $100 billion to build AI-ready data centres by 2035 [1]. This expansion is part of a broader effort to increase the value of India's AI infrastructure to $250 billion [1]. To mitigate the environmental impact of these energy-intensive facilities, Adani has planned a $55 billion [1] expansion of its renewable-energy portfolio.
Despite these green energy goals, experts warn that the environmental cost extends beyond electricity. A technology analyst said AI data centres can consume enough water to supply one billion people for a year [2], highlighting a hidden environmental cost.
Industry analysts suggest that the rapid growth of the sector could outpace the available infrastructure. A Deloitte Asia Pacific report author said India must align its renewable-energy expansion with the rapid growth of AI data centres to avoid grid overload [3]. Without these alignment measures, the explosive demand for AI compute could exacerbate existing water scarcity and energy instability in the region [2, 3].
The tension between economic growth and resource sustainability remains a central point of debate. While the renewable energy investment addresses carbon emissions, the massive water requirements for cooling hyperscale servers present a separate challenge that current plans may not fully resolve [2].
“"Adani Enterprises will invest $100 billion to build AI-ready data centres by 2035."”
The Adani investment highlights a critical trade-off between national digital sovereignty and environmental sustainability. While the $250 billion projected infrastructure value would solidify India's role in the global AI economy, the reliance on water-heavy cooling systems and massive power loads creates a systemic risk. If renewable energy growth does not perfectly synchronize with data centre deployment, the resulting grid instability could hinder the very technological progress the investment seeks to achieve.
