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AI Data Center Drains 30M Gallons of Water Undetected, Sparking Local Outrage

AI Data Center Drains 30M Gallons of Water Undetected, Sparking Local Outrage
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An artificial intelligence data center outside Atlanta has been found to have used almost 30 million gallons of water without proper billing or oversight, leading to water pressure problems for nearby residents and exposing gaps in local utility management.

Massive AI Facility with High Water Demand

Microsoft’s new AI data center, known as Fairwater, spans over 1 million square feet in Fayetteville, Georgia. The facility, developed by Quality Technology Services (QTS), was purchased for $154 million in 2022. According to Microsoft’s Chief Technical Officer Mark Russinovich, the site’s size is necessary to support increasingly large infrastructure required to train advanced AI systems.

Despite Microsoft’s claim that the facility operates on a “closed-loop cooling system” consuming almost no water, local residents began noticing unusually low water pressure in their subdivision, prompting investigations.

Undetected Water Lines and Billing Failures

When the Fayette County water utility examined the complaints, they discovered two water lines supplying the QTS facility that were not recorded in their system. One line had been installed without the utility’s knowledge, while the other was never linked to QTS’s account, meaning the company was not billed for the water usage.

The total unbilled water consumption was estimated at nearly 30 million gallons, with a value close to $150,000. The exact timeframe for this usage is disputed: a water official suggested about four months, while a QTS spokesperson indicated a period between nine and fifteen months. This information emerged publicly only after a letter from May 2025 was obtained through a public records request.

Staffing Shortages and Oversight Challenges

Vanessa Tigert, director of the Fayette County water system, attributed the oversight to staffing shortages. She noted that the utility has limited personnel, with only one individual handling inspections and plan reviews, which stretches resources thin.

QTS explained the unauthorized water use occurred during a transition to a new smart meter monitoring system. The company has since paid the outstanding bill but has not faced any fines. Tigert defended the decision not to penalize QTS, citing the importance of maintaining a positive partnership with their largest customer and emphasizing customer service.

Community Frustration and Questions of Accountability

The situation has sparked frustration among local citizens and advocates. Attorney and property rights advocate James Clifton criticized the handling of the issue, expressing concerns that the company operated without accountability and that residents’ interests were overlooked.

Clifton remarked on the apparent imbalance of power, stating it is “frustrating to see them come into our community and run all over us like the citizens don’t matter, and then they’re above the law when they do break it.”

Implications for Utility Management and Corporate Responsibility

This incident highlights significant challenges in utility oversight, especially when large corporate clients are involved. The failure to detect unauthorized water lines and unbilled consumption points to gaps in monitoring and enforcement.

Moreover, the decision not to impose fines raises questions about the balance between customer service and regulatory accountability. While QTS has settled the financial obligation, the episode underscores the need for improved transparency and vigilance to prevent similar occurrences in the future.

Conclusion

The discovery that a major AI data center consumed millions of gallons of water without proper billing has exposed weaknesses in local utility management and stirred community discontent. As technology facilities expand, ensuring accurate resource tracking and equitable treatment of all stakeholders remains a critical challenge for government agencies and corporations alike.


Source: Read the original reporting.

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