UN Report Highlights AI's Potential to Consume 3% of Global Electricity by 2030
UN report warns AI could soon use 3% of world's electricity, outstripping global water needs

Image: Mathrubhumi English
A new UN report warns that by 2030, artificial intelligence (AI) could consume 3% of the world's electricity, produce emissions comparable to the UK, and require more water for cooling than the annual drinking needs of the global population. The report emphasizes the need for responsible AI use to mitigate environmental impacts.
- 01AI's energy consumption may double by 2030, reaching 3% of global electricity use.
- 02The carbon footprint of AI could necessitate planting 6.7 billion trees over ten years to offset emissions.
- 03Data centers already consume as much electricity as Saudi Arabia, with projected increases leading to significant resource demands.
- 04The report highlights the inequality in AI infrastructure, with 90% of AI cloud capacity located in the US and China.
- 05Responsible AI use requires full governance of the value chain from mineral sourcing to disposal.
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A recent United Nations report predicts that by 2030, artificial intelligence (AI) could consume 3% of the world's electricity, doubling its current usage and producing emissions equivalent to those of the UK. This surge in energy demand could also lead to a depletion of water resources for cooling that exceeds the annual drinking water needs of the global population. The report warns against falling into the 'Jevons paradox', where increased efficiency in AI leads to higher overall consumption rather than savings. Currently, data centers consume as much electricity as Saudi Arabia, and if usage doubles, it would require 9.3 trillion liters of water and land nearly ten times the size of Mexico City. The report calls for a roadmap for responsible AI use, emphasizing transparency, equity, and lifecycle responsibility. It highlights the structural inequities in AI infrastructure, with only 32 nations hosting AI-specific cloud facilities, predominantly in the US and China. The report urges a reevaluation of AI development to prioritize environmental stewardship alongside technological advancement.
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The increasing energy and water demands of AI could strain local resources and exacerbate environmental issues, particularly in regions already facing water scarcity.
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