A New Kind of Industrial Neighbor
The geography of America’s digital infrastructure is shifting. Data centers, once concentrated around major metropolitan technology hubs, are increasingly appearing in small towns, exurban corridors, and rural jurisdictions. Developers are drawn by inexpensive land, favorable zoning, tax abatements, and proximity to transmission infrastructure. For communities seeking economic development, these projects are often presented as quiet, clean, and future-facing investments. In many cases, that promise is partially fulfilled.
Data centers can deliver substantial and stable property tax revenue, often exceeding that of traditional industrial facilities on a per-acre basis. Local governments frequently cite their role as long-term tax anchors that support schools, municipal services, and public infrastructure. Construction phases bring a temporary influx of jobs and contracting activity, and once operational, facilities employ smaller but highly compensated technical teams responsible for maintaining mission-critical systems.
Yet beneath these benefits lies an industrial footprint unlike anything most small towns have previously managed. Data centers do not announce themselves through visible emissions or heavy manufacturing traffic. Their presence is felt instead through electricity demand curves, water withdrawal permits, and long-term infrastructure commitments. For towns with limited planning capacity and aging utility systems, the arrival of a hyperscale or AI-oriented facility can challenge assumptions embedded in decades-old infrastructure models.
For residents, the initial optimism often gives way to more complex questions. The fiscal upside is tangible, but so too are the long-term obligations associated with supporting infrastructure that operates at an entirely different scale than the surrounding community.
Power Demand That Resembles a City
Electricity demand is the most immediate and consequential impact. In 2023, U.S. data centers consumed approximately 176 terawatt-hours of electricity, representing about 4.4 percent of national demand. Academic and industry projections suggest that share could rise to between 7 percent and 12 percent by 2028, driven largely by the rapid expansion of AI workloads that require dense, continuous computing.
The scale of individual facilities is reshaping regional power markets. A single hyperscale data center can require hundreds of megawatts of capacity, comparable to the load of a mid-sized city. In the Mid-Atlantic, PJM Interconnection warned federal regulators that approving additional large data centers without synchronized transmission upgrades could jeopardize grid reliability. Load growth in parts of Virginia, Maryland, and Ohio has already outpaced infrastructure expansion, increasing congestion and capacity costs.
Texas provides a parallel example. ERCOT reported more than 230 gigawatts of interconnection requests in 2025, the majority tied to data center projects. In several cases, proposed facilities sought more than a gigawatt of capacity each, forcing regulators to confront how rapidly industrial-scale digital demand can overwhelm existing planning frameworks.
For residents, these dynamics can surface as higher electricity bills or greater outage risk during periods of peak demand. At the same time, the capital investment prompted by data center growth can modernize aging grids, improving long-term reliability. The determining factor is cost allocation. Where upgrade costs are broadly socialized, households may subsidize infrastructure built primarily for a single customer. Where cost responsibility is clearly assigned, communities are more likely to share in the benefits of a strengthened grid.
Data Center Water Use Intensity and Community Impact
| Intensity Level | Facility Type | Approximate Water Use | Community Impact |
|---|---|---|---|
| Low | Small / Edge Data Center | < 50,000 gallons per day | Minimal impact on local water systems |
| Medium | Enterprise / Regional Data Center | 50,000 – 500,000 gallons per day | Noticeable utility planning and capacity impact |
| High | Hyperscale / AI Data Center | 500,000+ gallons per day | Major system expansion, rate pressure, or supply risk |
Water Use as a Single-Customer Shock
If electricity demand reshapes regional systems, water use exerts pressure at the local level. Data centers rely heavily on evaporative cooling, particularly during hot weather. Nationally, U.S. data centers directly consume more than 100 million gallons of water per day, with additional indirect consumption embedded in electricity generation.
In small systems, the impact can be immediate and disproportionate. Academic research indicates that a 100-megawatt data center can consume as much water daily as 6,000 to 7,000 households. In Shreveport, Louisiana, planning documents tied to a proposed facility projected water use of approximately 7.5 million gallons per day. That level of demand would have elevated a single site into one of the city’s largest water users, raising concerns about treatment capacity, wastewater discharge, and long-term drought resilience.
Selected Community Case Studies – Data Center Infrastructure Impact
| Location | Project Status | Primary Constraint | Observed / Anticipated Outcome |
|---|---|---|---|
| Shreveport, Louisiana | Proposed | Water supply and wastewater capacity | Public concern; risk of major utility expansion |
| DeKalb County, Georgia | Moratorium | Power and water capacity | Permitting pause; zoning and infrastructure reassessment |
| Chandler, Arizona | Rejected | Water availability | Project denied due to supply limitations |
| Central Virginia (PJM region) | Operational cluster | Grid capacity | Higher capacity costs; reliability warnings |
Similar considerations contributed to Chandler, Arizona’s rejection of a proposed project after utilities flagged supply constraints. Elsewhere, negotiated agreements have produced different outcomes. Some developers have funded new wells, expanded treatment capacity, or invested in recycled-water systems, leaving communities with upgraded infrastructure assets that extend beyond the facility itself.
For residents, water impacts often translate into higher rates, stricter usage rules, or deferred maintenance if systems are pushed beyond their limits. Where agreements are robust, however, data center investment can accelerate long-overdue upgrades that municipalities would otherwise struggle to finance.
Community Pushback and the Rise of Moratoria
As infrastructure pressures become visible, local resistance has intensified. Municipal moratoria and project denials are no longer isolated incidents but part of a broader national pattern. DeKalb County, Georgia extended a data center moratorium amid resident concerns over electricity costs, water use, and quality-of-life impacts. Similar pauses have emerged across the Midwest and Southwest as local governments reassess zoning and utility capacity.
These responses reflect structural constraints rather than ideological opposition. Small towns often lack the technical staff and financial modeling expertise required to evaluate industrial-scale power and water demands, particularly when multiple projects arrive within a short period. Moratoria function as a planning mechanism, allowing communities to recalibrate standards and renegotiate expectations.
For residents, these pauses can delay anticipated tax revenue and slow economic momentum. At the same time, they provide leverage to ensure that development aligns with local capacity and priorities. In many communities, the debate itself has increased civic engagement, pulling infrastructure and environmental policy into public view.
Cumulative Impacts and Regional Saturation
One of the clearest findings from recent research is that data center impacts are cumulative rather than isolated. Analysis from Ceres shows that clustered development can raise local water stress by more than 30 percent in certain basins. Power markets exhibit similar saturation effects, with congestion and upgrade costs escalating as facilities concentrate geographically.
International experience reinforces this lesson. In Ireland and the Netherlands, dense data center corridors pushed grids and water systems to their operational limits, prompting stricter siting rules and infrastructure readiness requirements. These cases demonstrate how quickly thresholds can be crossed when projects are evaluated individually rather than as part of an interconnected system.
For residents, cumulative development reshapes local economies in subtle but lasting ways. Infrastructure costs can rise, but so can municipal revenues and service capacity. Whether communities experience net benefit or net strain depends largely on coordination and long-term planning rather than the characteristics of any single facility.
Carbon, Backup Power, and Less Visible Externalities
Despite high-profile sustainability commitments, data centers remain closely tied to fossil-fuel-dominated grids. Globally, nearly 60 percent of electricity powering data centers still comes from fossil fuels. Even facilities that procure renewable energy through contracts continue to draw power from local grids during peak periods.
Backup power systems introduce additional environmental considerations. Diesel generators, essential for reliability, produce nitrogen oxide emissions during testing and emergency operation. Academic studies in Texas suggest that generator testing alone can represent a meaningful share of local industrial emissions, particularly in communities with limited prior exposure to heavy industry.
For residents, these impacts can manifest as noise, air quality concerns, and diminished confidence if not addressed proactively. Conversely, some data center projects have accelerated investment in renewable generation, battery storage, and cleaner backup systems, delivering environmental improvements that extend beyond the facility boundary.
Rethinking Infrastructure-Ready Development
Research points to viable mitigation strategies. Studies from Cornell University show that advanced cooling technologies, alternative water sourcing, and careful siting can reduce water consumption by more than half in certain configurations. Clear “developer pays” principles for grid and water upgrades can protect household ratepayers and align incentives more effectively.
When structured carefully, data centers can deliver durable economic benefits. Property tax contributions are often significant and predictable. While permanent employment numbers are modest, the roles that do exist are typically high-paying technical positions tied to long-term operations rather than cyclical production.
For small towns, the central challenge is not whether data centers will continue to expand, but whether governance frameworks can ensure that economic gains are matched by infrastructure resilience and environmental safeguards.
Economic Benefits vs. Infrastructure Costs for Host Communities
| Category | Potential Benefit | Potential Risk |
|---|---|---|
| Property tax revenue | Stable, long-term municipal funding | Overreliance if tax abatements are excessive |
| Construction activity | Short-term job creation and local spending | Temporary economic impact only |
| Permanent jobs | High-paying technical and security roles | Limited total employment |
| Electricity infrastructure | Grid modernization investment | Higher household electricity bills |
| Water infrastructure | Developer-funded upgrades possible | Rate pressure if costs shift to residents |
Living With the Physical Internet
The expansion of data centers into small towns exposes a central contradiction of the digital economy. The cloud appears weightless, yet it is anchored in land, water, and power. Communities that host these facilities absorb the physical consequences of global digital growth, often long after initial incentives expire.
At their best, data centers can stabilize municipal finances, modernize infrastructure, and connect communities to the digital economy. At their worst, they can strain utilities, raise household costs, and erode public trust. As AI-driven demand accelerates, the defining question for small towns is not whether data centers will arrive, but under what conditions they will operate.
Profile of an Ideal Town for Data Center Development
| Category | Ideal Characteristic | Why It Matters |
|---|---|---|
| Water resources | Abundant surface, reclaimed, or non-potable supply | Avoids competition with residential water use |
| Power infrastructure | Nearby transmission and generation surplus | Limits grid upgrade costs and delays |
| Land use | Pre-zoned industrial land with buffers | Reduces community conflict |
| Governance capacity | Experienced planning and utility staff | Enables informed negotiations |
| Economic structure | Stable tax base without heavy abatements | Ensures net community benefit |
The Ideal Town
If data centers are to coexist sustainably with smaller communities, site selection must become more deliberate and better aligned with local capacity. An “ideal town” for data center development is not defined by eagerness alone, but by a specific set of environmental, infrastructural, and governance characteristics that reduce risk for both residents and developers.
At the most basic level, water availability is foundational. An ideal host community has abundant, resilient water resources with surplus treatment and withdrawal capacity well beyond current residential and agricultural demand. This typically means access to large surface water systems, reclaimed water infrastructure, or non-potable industrial supplies that can support cooling needs without competing with household use. Towns reliant on stressed aquifers, seasonal supplies, or aging treatment plants face disproportionate risk and should be approached with caution.
Equally critical is proximity to robust power infrastructure. Ideal locations sit near existing generation assets, major substations, or high-voltage transmission corridors with demonstrable spare capacity. This reduces the need for long, disruptive transmission builds and limits cost shifting onto local ratepayers. Communities within regions that already struggle with congestion or capacity shortfalls are far more likely to see higher household bills and reliability concerns once large, always-on loads are added.
Land use characteristics also matter. The ideal town has appropriately zoned industrial land that is physically separated from residential neighborhoods, schools, and hospitals. This reduces noise concerns, limits air quality exposure from backup generators, and avoids the land-use conflicts that have driven opposition in many communities. Adequate setbacks, buffer zones, and transportation access should be established before projects are approved, not negotiated afterward.
From an economic perspective, the strongest candidates are towns where property tax structures are stable and transparent, and where data center valuation will meaningfully support local services without overreliance on abatements. In these environments, residents are more likely to see tangible benefits through school funding, municipal services, and infrastructure investment. While data centers do not employ large workforces, ideal towns can support and retain the high-paying technical roles required for long-term operations, often by proximity to regional labor markets or technical education institutions.
Governance capacity is an often-overlooked factor. Ideal host communities have experienced planning and utility staff, or access to regional expertise, capable of evaluating large-scale power and water proposals. Clear development standards, predefined infrastructure cost-allocation rules, and established emergency planning frameworks reduce uncertainty and conflict. In these towns, negotiations tend to focus on optimization rather than damage control.
Finally, community alignment is essential. The ideal town is not one without opposition, but one where expectations are clear and information is accessible. When residents understand both the benefits and the limits of what data centers can provide, debates are more likely to center on terms and safeguards rather than rejection or moratoria. Transparency, predictability, and long-term planning create conditions where digital infrastructure can be integrated without overwhelming local systems.
In practice, very few towns meet all of these criteria. But the closer a community comes to this profile, the more likely data center development becomes a net positive rather than a long-term strain. As the digital economy continues to expand, the question is no longer whether data centers will arrive, but whether they will be matched to places capable of hosting them responsibly.
Key Takeaways
- Data centers impose city-scale electricity and water demands on small-town infrastructure.
- Residents may benefit from tax revenue, construction activity, and high-paying technical jobs, while also facing higher utility costs and long-term system strain.
- Water use has emerged as the most acute local flashpoint, particularly in small or stressed systems.
- Community pushback reflects governance and capacity limits rather than opposition to digital growth.
- Long-term outcomes depend on cost allocation, coordination, and infrastructure readiness.
Sources
- What We Know About Energy Use at U.S. Data Centers Amid the AI Boom; Pew Research Center; – Link
- Water Impacts From Data Centers May Expose Companies to More Risk Than Acknowledged; Ceres; – Link
- Data Centers and Utility System Impacts; National Association of State Utility Consumer Advocates (NASUCA); – Link
- Why Cities Are Pushing Back on Data Centers; GovTech; – Link
- Data Centers Are Straining the U.S. Power Grid; Business Insider; – Link
- States Clash Over Data Center Water Disclosure; E&E News by POLITICO; – Link
- Roadmap Shows Environmental Impact of AI Data Center Boom; Cornell University; – Link
- Local Infrastructure Stress and Digital Growth; Institute of Internet Economics; – Link

