India is racing to build massive AI data centers to compete globally, but the environmental impact—enormous water consumption and energy use—is being pushed aside in favor of economic growth. The country's approach reveals the hidden costs of the AI revolution that nobody wants to talk about when the alternative feels like falling behind.
Prime Minister Narendra Modi put it bluntly: "India is not scared. India sees fortune and a future in AI." The government expects over $200 billion in AI investments within two years. Google, Amazon, and Microsoft have pledged a combined $68 billion for AI projects, with Google alone investing $15 billion in a massive hub in Visakhapatnam—its largest facility outside the US.
But here's what those announcements don't mention: data centers require enormous amounts of water for cooling and massive energy consumption for operations. And India is building them in regions that are already facing severe resource scarcity.
Hyderabad is projected to face a daily water shortage of approximately 909 million liters for domestic and industrial use within two years. Amazon is expanding operations there anyway. Pune experienced significant water shortages last year that sparked local protests. Microsoft is building facilities there. Researchers warn that more than 60% of current Indian data centers face high water stress this decade.
The numbers are staggering: data center water and energy consumption in India is expected to more than double by 2030. We're talking about infrastructure that requires constant cooling in a country where millions of people already struggle with water access. The AI boom isn't just an energy problem—it's a water crisis waiting to happen.
India lacks national guidelines requiring corporate transparency about resource consumption. Only five of fifteen states with data center policies address sustainability. As Shalu Agrawal of the Council on Energy, Environment and Water noted:
