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Artificial Intelligence Expansion Demands Water - Communities Suffering the Consequences

The potential link between your town's water shortage and the development of artificial intelligence.

Artificial Intelligence Expansion Demands Water - Communities Suffer the Consequences
Artificial Intelligence Expansion Demands Water - Communities Suffer the Consequences

Artificial Intelligence Expansion Demands Water - Communities Suffering the Consequences

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In the heart of Newton County, Georgia, AI data centers consume around 10% of the county's total water daily, with a single older data center like Meta's using up to 500,000 gallons per day. This extensive water use is contributing to a larger water crisis unfolding across the county.

This water-intensive cooling process, essential for preventing overheating, is a significant factor. Medium-sized data centers consume about 110 million gallons annually, and larger ones use up to 5 million gallons daily—equivalent to the water use of tens of thousands of households or entire towns.

The water footprint extends beyond direct cooling. It includes water used by the power plants supplying the electricity and for semiconductor manufacturing. Approximately 80% of the water withdrawn evaporates, with the rest discharged as warm wastewater, sometimes overwhelming local treatment facilities.

Examples of this strain can be seen in various locations, such as Phoenix, Colorado, and the UAE, where AI data centers are contributing to water shortages and droughts. In some regions, homebuilding has been paused due to drought exacerbated by tech facilities.

In Uruguay, Google's plan to build a data center that would consume 7.6 million liters of potable water per day sparked public outrage. Similarly, in the Netherlands, a Microsoft data center consumed 84 million liters of drinking water, much higher than the publicly estimated 12-20 million liters.

To ensure sustainable water usage amid this growing pressure, several measures can be taken. These include adopting alternative cooling methods, locating data centers in water-abundant regions, increasing water recycling and reuse, investing in more efficient cooling technologies, enhancing transparency and regulation, exploring new water sources, and prioritizing water sustainability alongside energy costs in site selection.

The Morrises, a retired couple in rural Newton County, have experienced water issues since Meta began building a data center near their home. Newer, even thirstier data centers are seeking permits for millions of gallons daily. Site selection for future data centers should prioritize water sustainability alongside energy costs. Policymakers should treat water as a critical and finite resource, not a disposable afterthought.

The Morrises have spent $5,000 trying to fix the problem, but replacing their well would cost five times that and they cannot afford it. Beverly Morris stated that she is scared to drink their own water due to the issues. Meta denies responsibility, but three of the Morrises' neighbors also report similar water issues.

As AI data center growth continues, it is essential to balance this expansion with sustainable water resource management. Implementing a combination of technical, regulatory, and strategic location policies is key to ensuring a future where technology and water resources coexist harmoniously.

  1. The evolution of technology, particularly AI data centers, is a major contributor to the water crisis in Newton County, Georgia, with daily water consumption reaching up to 500,000 gallons by a single data center.
  2. This extensive water use is not only from direct cooling but also includes water used by power plants and for semiconductor manufacturing, with 80% of the water withdrawn evaporating and the rest discharged as warm wastewater.
  3. The impact of this water consumption can be observed in various locations, including Phoenix, Colorado, the UAE, and Uruguay, where AI data centers are exacerbating water shortages and droughts, even causing homebuilding to be paused.
  4. To ensure sustainable water usage, measures such as adopting alternative cooling methods, locating data centers in water-abundant regions, increasing water recycling and reuse, investing in efficient cooling technologies, enhancing transparency and regulation, exploring new water sources, and prioritizing water sustainability are essential.
  5. Sustainable water usage is crucial for the future of technology, especially AI data centers, as the mismanagement of water resources can lead to issues like those experienced by the Morrises, a retired couple in rural Newton County, who have faced water problems since the construction of a data center near their home.
  6. Scientific research and environmental science must play a key role in ensuring a future where technology and water resources coexist harmoniously, balancing the growth of technology with sustainable water resource management.
  7. Policymakers should treat water as a critical and finite resource, not a disposable afterthought, as the unchecked growth of AI data centers could lead to a future where water scarcity hinders technological progress.

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