India's ambition to become a global artificial intelligence hub is driving a rapid expansion of data centres. However, beneath the surface of investment announcements and government incentives, growing concerns over water consumption, electricity demand, environmental regulation, and job creation threaten to undermine the narrative of unalloyed progress.
The Scale of the Data Centre Boom
Major global technology companies and domestic players are pouring billions of dollars into building hyperscale data centres across India. States like Maharashtra, Tamil Nadu, Telangana, and Uttar Pradesh are competing to attract these facilities with offers of land, power subsidies, and relaxed norms. The government's IndiaAI Mission, with a budget of over ₹10,000 crore, explicitly aims to build AI compute infrastructure comprising 10,000 or more graphics processing units (GPUs).
This push is part of a broader strategy to position India as a reliable alternative to established AI hubs in the United States and China, leveraging its large pool of engineering talent and its rapidly growing digital economy. Yet, the physical reality of running thousands of power-hungry servers and keeping them cool is colliding with India's stressed natural resources and regulatory frameworks.
Water Scarcity: The Overlooked Cost
Data centres require enormous amounts of water for cooling systems, especially in a tropical climate like India's. Many proposed data centre parks are located in water-stressed regions. For example, Chennai, a major data centre hub, faced a severe water crisis in 2019 and again during recent droughts. Environmental activists and local communities have begun to question the wisdom of allocating scarce water resources to cool servers while agricultural and domestic needs go unmet.
Industry estimates suggest that a typical hyperscale data centre can consume millions of litres of water per day. With dozens of such facilities planned, the cumulative impact on local water tables could be significant. Some states are beginning to impose conditions on water usage, but enforcement remains weak.
Electricity Demand and Grid Strain
Data centres are among the most electricity-intensive facilities. As AI workloads grow, the power demand from data centres in India is projected to rise sharply. A single large data centre can consume as much electricity as a small town. With India's grid already struggling to meet peak demand in many regions, the additional load from data centres is raising concerns about reliability and carbon emissions.
The government's push for renewable energy is one way to address this, but the intermittent nature of solar and wind power requires either massive battery storage or continued reliance on coal-fired backup. Many data centre operators are signing power purchase agreements for renewable energy, but the physical reality is that they remain connected to the grid, which in India still depends heavily on coal.
Environmental Regulation: Loopholes and Compliance
Environmental clearance for data centres has been a contentious issue. The Ministry of Environment, Forest and Climate Change recently classified data centres as a ‘green industry’ in certain contexts, exempting them from some environmental impact assessments. This has drawn criticism from environmentalists, who argue that the water and energy consumption of these facilities necessitates rigorous scrutiny.
Moreover, regulations vary widely between states. Some have offered to fast-track approvals, leading to fears that environmental safeguards are being sacrificed in the race to attract investment. The lack of a uniform national policy on data centre environmental standards creates regulatory arbitrage and potential long-term ecological damage.
Employment: Myth vs Reality
Promoters of the AI infrastructure boom often highlight job creation as a key benefit. While data centre construction does generate temporary jobs, the operational phase is highly automated and requires relatively few workers. Most data centres operate with a lean team of engineers and security personnel. The promise of massive employment may be overstated.
Furthermore, the high-skilled jobs that do emerge—such as AI model training and software development—tend to concentrate in a few cities, exacerbating regional inequalities. Local communities near data centre parks may see little direct benefit in terms of employment, while bearing the environmental costs.
Balancing Ambition with Sustainability
India's goal of becoming an AI powerhouse is laudable and could bring significant economic benefits. However, the hidden costs of the required infrastructure must be managed proactively. Policymakers need to enforce strict environmental norms, promote water-efficient cooling technologies such as liquid cooling and air-side economisers, and mandate renewable energy usage.
Investors and technology companies also have a responsibility to adopt global best practices in sustainability. The industry must engage with local communities to ensure that the benefits of the AI revolution are shared equitably. Without such measures, the data centre boom could leave a legacy of depleted water resources, strained power grids, and unmet employment expectations.
