UN Report Warns AI Environmental Footprint Could Rival Mid-Sized Nations by 2030
Artificial intelligence expansion is creating an environmental burden on a national scale, with projections suggesting that by 2030, AI could consume 3% of global electricity. The UN University report warns that water consumption for cooling data centers may exceed the annual drinking needs of the global population, while the physical land footprint could surpass 14,500 square kilometers. Researchers highlight that the energy cost of AI is escalating rapidly, noting that training newer models requires significantly more power than previous versions. The rise of high-resolution AI video is particularly taxing, and experts warn that the race to scale these technologies is currently outstripping the development of necessary environmental governance and carbon reporting.
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Subscribe to our Science Newsletter to explore the wide worlds of science, health and technology. "If you look at these numbers, we're seeing scales comparable to nations," said study co-author Kaveh Madani, a water scientist and director of the United Nations University Institute for Water, Environment and Health in Canada. "The demand is enormous." Much of the growth of data centers is being driven by AI...
And the more complicated the AI, the more energy it takes to train or learn. The report said GPT-3 used about 1.3 billion watt-hours to train, but the next version used 50 to 70 billion watt-hours. But it’s not training that really feasts on power, said study co-author Miriam Aczel, a United National University environmental ...
The dark side of AI: New study shows its environmental costs threaten water, land, and climate | Indiablooms - First Portal on Digital News Management
According to a new study from UN University (UNU), AI-related water consumption could equal the basic annual domestic needs of 1.3 billion people by the end of the decade, while its land footprint may exceed 14,500 square kilometres — roughly twice the size of the Jakarta metropolitan area. The report highlights a critical gap in how AI’s environmental ...
World Environment Day 2026 | AI Could Use Water Needed by 1.3 Billion People by 2030; Even a ChatGPT Prompt Has a Hidden Cost: UN Report | Artificial Intelligence News - News9live
As World Environment Day 2026 reminds us of the importance of sustainable development, this report reminds us that AI is a digital technology too. It is also a physical system that operates on electric power, is cooled by water and has a land base, minerals and infrastructure. With more and more countries implementing AI, it is crucial to understand the hidden costs. Click for more latest Artificial Intelligence news...
UN report warns AI could soon use 3% of world's electricity, outstripping global water needs | Mathrubhumi English
The report estimates that by 2030, AI's energy use could double to consume 3 per cent of the world's electricity, produce emissions equal to the UK and deplete more water for cooling than the annual drinking water needs of the global population.
UN warns AI could use more water than all the people on Earth need to drink | The Independent
The rising popularity of AI-generated videos is becoming a major concern for the environment, the study says. A single high-resolution AI video clip requires more than 415 watt-hours of electricity, more than generating hundreds of AI images. AI videos have also been improving rapidly in quality.
UN Report Warns AI’s Water, Land and Climate Costs Are Rising Faster Than Governance - ESG News
More than 90% of AI-specialised ... domestic AI infrastructure. United Nations researchers are warning that the global race to scale artificial intelligence is creating a wider environmental burden than carbon reporting alone captures. A new study from UN University ...
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