The Hidden Costs of AI: Energy, Water and Minerals

Artificial Intelligence’s rapid advancement comes with significant environmental costs.

The operation of AI systems demands substantial electricity, often sourced from fossil fuels, leading to increased carbon emissions.

Additionally, the cooling of data centers consumes vast amounts of water, putting pressure on local water supplies.

The production of AI hardware depends on critical minerals, whose extraction can harm ecosystems and is often concentrated in geopolitically sensitive regions.