Fayetteville’s data center drained 29 million gallons Georgia never knew it had
The $1.2 trillion infrastructure push needs real-time visibility and digital twins, or the next failure will stay off the radar.

A digital twin could have flagged a Fayetteville, Georgia data center that consumed nearly 29 million gallons of water over 15 months via two pipe connections the county did not know existed. For infrastructure operators and public decision-makers, this is a warning that spending without operational visibility can still leave systems “information-rich but operationally blind.”
America just authorized a massive infrastructure check. Under the Infrastructure Investment and Jobs Act, total spending is $1.2 trillion, the largest infrastructure commitment in modern U.S. history. The big point is that money cannot do the job by itself. Infrastructure failures often do not arrive with a siren. They simmer, hidden in day-to-day operations, until economic and social costs become impossible to ignore.
Now the warning is not theoretical. In Fayetteville, Georgia, a data center campus consumed nearly 29 million gallons of water over 15 months through two pipe connections the county did not know existed. Meanwhile, local officials were urging residents to conserve water during severe drought conditions. Water pressure dropped, yet there were no early warnings, no clear visibility into rising demand, and no practical way to intervene before the system was pushed to its limits.
That gap between “we invested” and “we can see” matters because the infrastructure underneath everything we do is both enormous and mostly invisible. Beneath our feet sit an estimated 30 million miles of water lines, sewer systems, electric cables, and telecom networks. Most people only notice them when something breaks, but operators cannot run a modern economy on reactive firefighting. The fallout from infrastructure breakdowns is immediate: the collapse of the Francis Scott Key Bridge disrupted one of the East Coast's most important shipping routes, sinkholes at LaGuardia delayed hundreds of flights, and in Hawaii, levee failures left communities exposed to flooding and long-term damage.
The Fayetteville story is different from those headline disasters. It is a slower unraveling, the kind that does not trend on social media. It is also exactly the scenario operators fear as data centers expand, including to support AI workloads. EPA estimates show U.S. data centers used 17.4 billion gallons of water in 2023, and that total could reach 73 billion gallons by 2028. That growth pushes demand into water-stressed regions like parts of the American West, where local systems and communities bear the consequences.
In plain English, what failed in Fayetteville was visibility and control. A system with real-time metering integration could have caught the drain immediately, before 29 million gallons disappeared. But the source makes an even sharper point: real-time response alone is not enough. Operators need the ability to anticipate failures before they happen and test “what if” scenarios while conditions still allow course correction.
That is where digital twins enter. These virtual models help infrastructure operators simulate how systems respond to severe droughts, unexpected population growth, or the addition of a hyperscale data center. In New Orleans, for example, the 17th Street Canal pump station implemented a digital twin to improve decision-making during storm events. The impact described is protection for 635,000 people, along with assets, businesses, and critical industries, strengthening resilience against climate-related flooding. The operational shift is from break-fix reactions to proactive maintenance, which is a board-level issue as much as a technical one. If you can forecast strain, you can allocate capital and staffing before failure forces expensive emergency work.
But predictive tools are only as good as the data behind them, and that is the second bottleneck. Operators may collect more infrastructure data than ever, but it often gets trapped in disconnected systems. The result is a modern paradox: information-rich but operationally blind, without a real-time understanding of how different pieces of infrastructure are performing together. Digital twins are positioned as the bridge, unifying operational views and connecting systems so decisions reflect reality rather than stale reports.
This is also why policy is part of the story. Bridging visibility gaps requires policy as much as technology. The source points to the BUILD America 250 Act being advanced during Infrastructure Week in Washington, D.C., including a key provision for digital infrastructure. By integrating digital delivery into federal transportation policy, the Act is designed to help operators adopt digital twin technologies that have already transformed parts of the private sector. Translation: if federal projects require better digital infrastructure from the start, operators may not have to “retrofit visibility” after demand has already outpaced the system.
Finally, there is the accountability angle, which matters for executives who deal with regulators, boards, and public stakeholders. Public infrastructure investment creates an opportunity to strengthen accountability and transparency about system performance. The source argues that taxpayers should be able to see how infrastructure works in real time and how investments improve reliability and resilience. If digital twins and unified operational views make that possible, then infrastructure modernization becomes not just a spending plan, but a measurable performance system.
So here is the strategic stake for decision-makers: the U.S. has committed over half a trillion dollars to rebuild its foundation, and the next challenge is ensuring those investments are as intelligent as they are historic. The infrastructure question is not whether we will build. It is whether we will modernize enough to prevent the next failure from staying invisible until it is too late. Peer operators, owners, and public authorities should treat Fayetteville as a preview of what can happen when demand rises, drought conditions tighten, and the pipes you do not know about still drain your options.
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