AI's Surge to Double Data Center Energy and Water Use by 2030, UN Warns

The rapid rise of artificial intelligence (AI) is poised to double the power and water consumption of data centers by 2030, a stark warning issued by researchers at the United Nations University Institute for Water, Environment and Health. This surge in demand could strain scarce resources, exacerbate electronic waste, and intensify climate change impacts.

Last year, data centers consumed 448 terawatt-hours (TWh) of electricity globally-more than the entire consumption of Saudi Arabia. AI accounted for about one-fifth of this total. These centers also used 4.5 trillion liters of water, sufficient to meet the needs of over 600 million people in Sub-Saharan Africa, while generating 189 million tons of carbon dioxide emissions.

Kaveh Madani, the institute's director and lead author of the report, emphasized that AI is not just software but a vast physical infrastructure. "The public debate still often treats AI as software," he said, "but AI is also physical infrastructure: data centers, electricity generation, cooling systems, transmission networks, chips, minerals, land, and water."

The Growing Footprint

Annual power consumption from data centers is projected to double to 945 TWh by 2030, equivalent to the total energy use of Japan. By then, AI is expected to account for 40% of this total. Water consumption will also skyrocket to 9.3 trillion liters, while carbon dioxide emissions are forecast to rise to 399 million tons.

The land footprint of data centers is set to expand from 6,900 square kilometers (2,664 square miles) in 2022 to more than 14,500 square kilometers by 2030. This expansion will compete with agricultural and natural habitats, potentially leading to land degradation and biodiversity loss.

While AI has the potential to optimize power grids and reduce waste, these efficiencies may be overshadowed by the overall increase in demand as countries and corporations rush to build new capacity. The competition for growth is intense, with global data centers expected to consume nearly three times the combined annual electricity of Nigeria, Pakistan, and Bangladesh by 2030.

Why It Matters

The environmental impacts of this surge are profound. Strained water resources could exacerbate existing shortages in regions already facing water scarcity. Increased energy consumption will contribute to higher greenhouse gas emissions, further accelerating climate change. The production and disposal of electronic waste will also pose significant challenges, with potential health risks for communities near disposal sites.

To mitigate these impacts, the report calls for a multifaceted approach. Governments must implement policies that promote energy efficiency, renewable energy sources, and sustainable water management practices. Companies should invest in advanced cooling technologies and circular economy models to reduce waste and resource consumption. Public awareness and engagement are crucial to drive demand for more sustainable AI solutions.

The path forward is complex but necessary. As Kaveh Madani noted, "Right now, the competition for growing fast is outpacing our efforts to grow sustainably." Balancing technological advancement with environmental stewardship will be key to ensuring a future where AI benefits humanity without compromising the planet's health.