The Civic Value of Data Centers: Why Cities and City Governments Should Treat Digital Infrastructure as Urban Infrastructure

Data centers are no longer “somewhere else” infrastructure. As cities digitize public services, adopt AI-enabled operations, and expand sensor-rich systems (mobility, utilities, safety), data centers increasingly determine whether urban digital capabilities are fast, reliable, secure, and governable. A core message emerging in current research is that the “cloud” is not intangible—its physical footprint shapes urban power, land, and capital flows, raising issues of fairness, sustainability, and democratic control.

For city governments, the case for engaging proactively is economic and operational. Large facilities bring major capital investment, substantial construction activity, and (in many jurisdictions) meaningful local tax revenues—yet long-term operational hiring may be limited relative to land consumed, which can heighten scrutiny if community benefits are unclear.

The governance challenge is that the impacts that matter most to residents—electric rates and grid reliability, water capacity on the hottest days, diesel backup emissions, light and noise, siting conflicts with housing—are fundamentally local, even when the services provided are global. Cities have real levers (zoning, permitting, conditional approvals, utility coordination, reporting requirements, and community benefit agreements), and recent municipal action shows these tools are already being used.

Why data centers have become a city-level issue

Cities are undergoing rapid digital transformation, and multiple analyses emphasize that urbanization and the digitization of city systems drive demand for robust digital infrastructure, with data centers serving as a core enabling layer for “smart city” functions.

At the same time, a growing body of urban scholarship argues that data centers are becoming “core infrastructure” for urban AI—quietly shaping where investment flows and who holds power over the digital city. That framing matters for municipal leaders because it recasts data centers as civic infrastructure questions, not just private real-estate projects.

Two additional forces are pulling data centers toward city policy agendas:

First, electricity demand growth linked to AI and large-scale computing is creating pronounced local grid impacts. The International Energy Agency (IEA) notes that while data centers were about 1.5% of global electricity use in 2024, their local impacts are far more pronounced due to geographic concentration—nearly half of U.S. capacity clustered in five regions—and because large AI-oriented facilities can draw electricity comparable to power-intensive industrial sites.

Second, latency-sensitive services and edge computing are strengthening incentives to locate infrastructure closer to users. Industry guidance on “edge data centers” emphasizes their role as a near-user compute layer that can be physically integrated into urban industrial and commercial zones.

The value proposition for cities and city governments

Digital public services and civic resilience

A baseline civic truth is that day-to-day city life increasingly runs through data centers—communications, digital services, and core functions across sectors that cities help coordinate (public safety, healthcare continuity, transportation systems, education, utilities, and government services).

This is not only about “smart city” aspirations; it is also about continuity under stress. When cities rely on real-time digital platforms for emergency management, 311/911 systems, digital permitting, and interagency coordination, the reliability of underlying compute and network infrastructure becomes part of municipal resilience—especially during extreme weather events that simultaneously stress power systems and public services. The IEA similarly emphasizes that local impacts are pronounced and grid strain can create project delays, underscoring that “smarter is faster” when integrating data centers with electricity grids.

Economic development, capital investment, and local fiscal capacity

Data centers are highly capital-intensive projects that can create a construction-driven economic pulse. A detailed public-sector assessment by the Joint Legislative Audit and Review Commission finds that economic benefits are often strongest during initial construction due to substantial capital investment and local construction spending, and that construction workforces can peak at large numbers (on the order of ~1,500 workers on-site for a building), even if ongoing operations staffing is relatively small.

On the fiscal side, localities can receive meaningful revenues through real property taxes and business personal property taxes (where applicable), but the magnitude depends heavily on local tax structures, incentive design, and whether jurisdictions reduce rates on computer equipment to attract facilities.

Industry-sponsored national estimates also frame the sector as a significant contributor to government revenues at federal, state, and local levels (with large increases over recent years), reinforcing why municipalities often view data centers as part of a broader tax base strategy.

Urban infrastructure upgrades and ecosystem effects

Beyond direct taxes, multiple sources argue that data center development can catalyze infrastructure improvements: upgraded roads, broadband, and power infrastructure, as well as redevelopment of underutilized land in certain cases.

There is also a clustering dynamic. The Virginia assessment notes that concentration of facilities can create an ecosystem of specialized firms and workforce capabilities (construction, electrical equipment, cooling, fiber, and related services), and that such ecosystems can reinforce a region’s attractiveness for additional investment.

Sustainability opportunities when cities plan for co-benefits

A city-value narrative that is becoming more concrete is “mutual benefit” through energy system integration—especially waste heat recovery. The IEA argues that nearly all electricity consumed in data centers becomes heat, a large share of which can be recovered with heat pumps, and that proximity to urban centers can make district heating integration feasible. The IEA estimates that, if fully integrated, reused heat from data centers could provide up to 300 TWh of space heating to buildings within 5 km by 2030—roughly enough for around 10% of European homes—while acknowledging business model and tariff constraints.

A widely cited municipal example is Stockholm, where the EU Covenant of Mayors describes heat recovery from data centers into the district heating network as a strategy to boost the IT industry while reducing system emissions, enabled by strong collaboration among municipal actors and partners including Stockholm Exergi and city-linked entities.

The trade-offs cities must govern

Electricity demand, grid constraints, and ratepayer risk

The single most consistent risk theme is electricity. The IEA’s global analysis highlights that data center electricity use is set to more than double by 2030 (to ~945 TWh) and that local grid constraints can delay projects; it estimates that without addressing grid risks, around 20% of planned data center projects could be at risk of delays.

In the U.S., the U.S. Department of Energy (DOE) summarizes findings from the Lawrence Berkeley National Laboratory (LBNL) report: U.S. data centers consumed about 4.4% of total U.S. electricity in 2023 and could reach roughly 6.7% to 12% by 2028, with total electricity use estimated to rise to a scenario range of roughly 325–580 TWh by 2028.

From a city perspective, these numbers matter less as national statistics than as signals that local substations, feeders, and transmission constraints can become binding—especially in clustered metro regions—creating complex negotiation questions about upgrades, cost allocation, and reliability impacts. The IEA explicitly notes that local impacts are more pronounced than global shares imply because of geographic concentration.

Water capacity, peak withdrawals, and the water-power coupling problem

Water is a second major local constraint—often underappreciated until late in siting and permitting. A 2026 preprint analyzing impacts on public water systems finds that if 2024 water-use intensity persists, U.S. data centers could collectively require 697–1,451 million gallons per day of new water capacity through 2030, comparable to New York City’s average daily supply (~1,000 MGD). Even under an “optimistic” scenario with sustained intensity reductions, the paper estimates a remaining need for 227–604 MGD and emphasizes that impacts are highly concentrated on host communities.

These findings reinforce why “water governance” for data centers is not only about annual consumption—it is also about peak-day withdrawals, system capacity, and how water decisions can shift burdens onto the power grid (for example, if constraints push operators toward less water-intensive but more electricity-intensive cooling strategies).

Municipal practice is starting to reflect this. Reporting on local negotiation patterns notes that Mesa, Arizona and Phoenix, Arizona have updated zoning approaches to address water consumption by routing data center proposals through special permit processes with greater review.

Air quality, noise, and “good neighbor” design

Cities are also confronting the day-to-day livability impacts that residents experience most directly: constant mechanical noise, generator testing, and localized air quality concerns.

One of the clearest examples of a municipal response is Chandler, which adopted a zoning code amendment defining where and how data centers can operate. The city’s published summary emphasizes communications protocols with residents, baseline noise studies, required sound mitigation, multi-year annual noise studies during peak operation, and time limitations plus notification rules for backup generator testing.

The ordinance text itself is unusually operational: it requires third-party baseline measurement and post-construction monitoring, provides for an on-site liaison to respond to complaints, and uses notification requirements (including a public website for generator operation schedules) to improve transparency and predictability for neighboring residents.

Land use conflicts, aesthetics, and equity

The most politically difficult trade-off is often land. Cities face competing needs—housing, parks, industrial strategy, and transportation. Reporting on mayoral strategies stresses that land-use authority is the primary local tool and highlights examples where zoning tools are used to constrain siting in sensitive districts. One cited case is Atlanta, which prohibits data centers within the Atlanta BeltLine district to protect green space and land needed for housing.

Equity concerns flow from a mismatch that multiple sources emphasize: construction-related jobs can be substantial, but ongoing operational employment is often comparatively small. Brookings notes that even large-scale centers may generate roughly ~1,500 construction jobs and around 100 operational jobs, implying that other community benefits may matter more for long-term legitimacy. The Virginia audit similarly describes small operations staffing relative to facility size while noting wages can be high.

This “benefits vs burdens” dynamic is why recent guidance emphasizes community benefits agreements and transparent dashboards that let residents see whether promised job, tax, and infrastructure outcomes actually materialize.

City government levers that shape outcomes

City governments are not passive. A recent synthesis of mayoral strategies identifies four domains where cities can negotiate and operationalize their priorities: siting and design, grid and rate impacts, water/air/noise controls, and local economic value capture.

Land-use authority is the foundation: zoning, overlays, conditional approvals, and design standards can define where data centers may locate and what mitigation and community-facing design is required.

Utility context then shapes the “power deal.” The same city may face very different leverage depending on whether it has a municipal utility or is served by an investor-owned utility; however, guidance emphasizes there are still creative partnership pathways (including clean energy procurement expectations and mechanisms to manage oversized impacts to infrastructure and rates).

On environmental and livability impacts, the operational playbook is becoming clearer: require monitoring and reporting for water and energy, set enforceable noise limits, regulate cumulative impacts, and restrict routine on-site fossil fuel generation when aligned with local policy (while preserving emergency backup requirements).

Finally, cities are increasingly treating “economic value” as something to negotiate rather than assume. Guidance points to mechanisms such as labor agreements and tax-increment financing, and highlights cases where public revenue capture is explicitly routed to infrastructure and housing priorities, including an example referencing Henrico County redirecting increased tax receipts toward housing.

Community benefits agreements are a central governance tool in this shift. A Brookings Institution analysis argues CBAs can address public concerns and increase reciprocity, emphasizing that agreements should be legally binding, transparent, and constructed with local leaders and residents—covering metrics like jobs, tax revenue, workforce training, and ongoing environmental monitoring.

A practical framework for city leaders evaluating data center proposals

A useful way for cities to translate “data center value” into an actionable decision framework is to treat each proposal as a package of five linked systems: land, power, water, community, and governance. Current literature and municipal precedent suggest the following principles.

Start with “system capacity,” not marketing claims. The LBNL report underscores that national planning is constrained by limited transparency; the model relies on assumptions and notes that lack of direct data availability limits analysis—an issue that also shows up locally when cities request project-level consumption profiles. Reflecting this, recent reporting indicates that the Energy Information Administration is pursuing pilot data center energy-use surveys, a signal that standardized public data has lagged the pace of development.

Translate power discussions into three questions: how much, how fast, and how flexible. The IEA emphasizes that grid risk can delay projects and that integration is faster when “smarter,” while DOE policy messaging explicitly highlights enabling data center flexibility through on-site generation and storage solutions so data centers can become a grid asset rather than a burden. For cities, this means requiring a clear profile of peak demand, ramp rates, redundancy plans, and any demand-response or storage strategies that reduce stress on local infrastructure.

Make water governance peak-aware. The water-capacity research emphasizes that peak withdrawals and system capacity can be the binding constraint, not annual totals. Cities therefore benefit from requiring reporting that distinguishes average vs hottest-day use, identifies water sources, and clarifies whether cooling choices shift burdens onto summer peak electricity demand.

Operationalize “good neighbor” standards. Chandler’s ordinance illustrates how cities can require baseline noise measurement, post-construction testing, communications protocols with residents, and defined generator testing windows. These provisions convert abstract concerns (noise, air, transparency) into enforceable operating rules.

Treat community benefits as measurable deliverables. Brookings recommends CBAs that include quantifiable benefits and dashboards tracking performance metrics like job creation, tax revenues, electricity use, and water. This approach also aligns with the mayoral guidance emphasizing economic value capture and structured negotiation.

Design for co-benefits where feasible. Waste heat recovery is not universal—district heating infrastructure is a prerequisite—but where district energy networks exist or can be expanded, evidence from Stockholm and the IEA suggests meaningful opportunities to turn a city concern (heat rejection) into a city benefit (space heating decarbonization and efficiency).

A final strategic implication follows directly from the urban AI framing: because data centers influence power, capital, and control in the digital city, municipal governance should aim to keep “cloud infrastructure” aligned with public priorities—fairness, sustainability, and local legitimacy—rather than treating siting decisions as purely technical approvals.