15 Jun 2026
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Environmental Cost of Artificial Intelligence: Heat, Power, and Data Centres

As artificial intelligence transforms every sector of society—from healthcare to finance, education to transportation—its unprecedented environmental footprint is emerging as one of the most critical sustainability challenges of the 2020s.

The AI boom is driving soaring energy consumption, with AI-related workloads accounting for roughly 20% of total data centre electricity use in 2025, a share expected to rise to 40% by the end of the decade.

These AI data centres are notoriously resource-intensive, consuming vast quantities of electricity for computing, water for cooling massive server farms, and significant land for infrastructure.

A groundbreaking 2025 Cornell University study projects that by 2030, the current rate of AI growth would annually put 24 to 44 million metric tons of carbon dioxide into the atmosphere—the emissions equivalent of adding 5 to 10 million cars to U.S. roadways—while draining 731 to 1,125 million cubic meters of water per year, equal to the annual household water usage of 6 to 10 million Americans.

The United Nations has issued a stark warning, urging countries to confront these escalating environmental costs, predicting that total electricity demand from data centres could roughly double by 2030, producing nearly 400 million tonnes of planet-heating carbon dioxide and consuming 9.3 trillion litres of water, meeting the drinking water needs of Earth's 8.1 billion people for approximately 1.6 years.

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