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Will AI Cause a Global Water Crisis? Shocking New UN Warning.

A new report has raised serious concerns about the environmental impact of rapidly expanding artificial intelligence infrastructure, warning that AI data centres could place extreme pressure on global water and energy resources.

According to the United Nations University Institute for Water, Environment and Health (UNU-INWEH), the growth of AI technologies is driving massive investments in data centres worldwide. These facilities, which power large-scale AI systems, require vast amounts of electricity and water for cooling operations.

The report warns that by 2030, water consumption from AI-related data centres could reach approximately 9.3 trillion litres annually. This amount is comparable to the minimum yearly household water needs of around 1.3 billion people living in sub-Saharan Africa.

AI data centres rely heavily on water-based cooling systems, particularly in warmer regions, where continuous heat management is essential to maintain server performance. As a result, their environmental footprint is expanding alongside global demand for AI services.

In addition to water usage, the report highlights a sharp rise in electricity consumption. Global data centres are estimated to have used around 448 terawatt-hours (TWh) of electricity in 2025 alone. By 2030, this figure could rise to 945 TWh, nearly three times the combined annual electricity consumption of countries such as Pakistan, Bangladesh, and Nigeria.

The UNU-INWEH report also warns that AI infrastructure may contribute to local temperature increases. Data centres can raise surrounding land temperatures by an average of 2°C, creating so-called “heat island” effects that impact nearby communities. In extreme cases, temperature increases of up to 9°C have been recorded, affecting areas within several kilometres of large facilities.

Experts caution that while AI is transforming industries and economies, its rapid expansion could intensify environmental stress unless more sustainable energy and cooling solutions are developed.

The findings highlight the growing need for governments and technology companies to balance innovation with environmental responsibility as AI infrastructure continues to scale globally.

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Swiss Glacier Snow Levels Critically Low

Glaciers across Switzerland are entering the summer season with significantly below-average snow cover, raising concerns about accelerated melting and long-term water availability.

According to the Swiss Glacier Monitoring Network (GLAMOS), snow cover across key Alpine glaciers is about 25% lower than the decade average, leaving ice masses unusually exposed at the start of the melt season.

Scientists report that the reduced winter snowfall has weakened the natural protective layer that normally shields glaciers from early summer heat. This layer typically reflects sunlight and slows ice loss, but current measurements show a much thinner snowpack across major glacier regions.

GLAMOS data collected from around 25 monitored glaciers indicates widespread deficits, with some areas experiencing snow shortages of several metres compared to long-term averages. The early onset of melting is already shifting the seasonal balance, causing glaciers to begin losing mass sooner than usual.

Regional variations are significant. In parts of southeastern Switzerland, including the Engadine region, snow deficits are particularly severe. Even major glacier systems such as the Great Aletsch Glacier and Rhône Glacier are reporting substantial reductions in winter accumulation.

Researchers warn that continued early-season melting could disrupt Switzerland’s role as the “Water Tower of Europe,” as glaciers regulate water flow into major river systems such as the Rhine, Rhône, and Po.

The reduced snow buffer may also impact hydroelectric power generation, agriculture, and downstream water availability across central and western Europe during late summer months.

Climate experts emphasize that while annual variability exists, the consistent pattern of reduced snow accumulation and earlier melt onset reflects a long-term trend linked to changing climate conditions in the Alps.