As artificial intelligence becomes increasingly ubiquitous in business and governance, its substantial environmental impact — from significant increases in energy and water usage to heightened carbon emissions — cannot be ignored. By 2030, AI’s power demand is expected to rise by 160%.
These strategies not only reduce AI’s environmental footprint but also enhance operational efficiency and cost-effectiveness, balancing innovation with sustainability.. As more power is expended, more resources are needed. As a result, we’ve seen exponential increases in energy and perhaps more unexpectedly, water consumption. Some estimates even show running a large AI model generates more emissions over its lifetime than the average car.
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