AI data centers are consuming massive amounts of water, land, and electricity, creating real environmental strain. Over 11,400 active data centers globally already use 44 GW of power, and capacity is on track to nearly double to 200 GW by 2030. Mid-sized facilities use about 300,000 gallons of water daily, while mega centers can use up to 5 million gallons, mostly for cooling. This puts pressure on water supplies, especially in already stressed regions where over 60% of new centers are being built. Data centers also drive up emissions. Despite tech companies buying renewable energy credits, the actual grid often relies on fossil fuels to meet total demand. By 2030, data center CO2 emissions could reach 440 million tons annually. Land use is another issue, with projections of over 14,500 square kilometers needed by 2030, often taking over farmland. The article makes a clear case that AI's physical footprint is becoming a real constraint on water, land, and climate goals.
