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AI Growth Fuels Data Center Expansion Amid Water Shortages

AI Growth Fuels Data Center Expansion Amid Water Shortages

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by Kofi Adjeman

2 hours ago


The surge in artificial intelligence development is prompting a boom in data center construction across the United States, raising concerns about water scarcity in already vulnerable regions. As local governments and corporate entities vie for limited water resources, the implications of this expansion are becoming increasingly evident. The publication provides the following information:

Water Stress and Data Centers

Recent reports indicate that approximately two-thirds of new data centers built or planned since 2022 are situated in areas experiencing significant water stress. This trend has resulted in heightened competition for daily water supplies, as local authorities grapple with the demands of corporate operators.

Growth of AI-Focused Data Centers

In the last three years alone, over 160 AI-focused data centers have been established, reflecting a staggering 70% increase compared to previous periods. Each 100-meгawatt data center is estimated to consume around 2 million liters of water daily, which is roughly equivalent to the daily needs of 6,500 households.

Escalating Water Consumption

As the reliance on AI systems grows, so does the water consumption, which is directly proportional to the computing load. Currently, global data centers are responsible for consuming about 560 billion liters of water annually, a figure that is projected to soar to 1,200 billion liters by 2030. This escalating demand has caught the attention of political figures, including:

  • Senator Bernie Sanders
  • Governor Ron DeSantis

who have voiced their concerns regarding the rapid pace of data center construction in water-stressed regions.

Recent developments in the PEPE Coin market highlight a divergence between retail investors and large holders, contrasting with the ongoing concerns about resource competition in data center expansion. For more details, see market dynamics.

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