The data center industry has become accustomed to speculation. Developers routinely evaluate multiple sites before selecting one. Utilities perform load studies for projects that never become firm customer commitments. And land transactions can precede formal announcements by months or years. Increasingly, the industry has used terms such as “phantom data centers” or “phantom loads” to describe speculative projects and power requests that may never materialize.

But another kind of phantom is emerging outside the industry: a project that becomes real in the public imagination before it exists as a permitted, financed or publicly announced development. Early indicators and heightened social scrutiny are increasingly interpreted as confirmation that a data center is coming.

That is different from the industry practice of maintaining multiple development options. Here, the phantom is not the speculative project itself, but the public perception of one.

As AI infrastructure has accelerated, data centers have become one of the most scrutinized forms of industrial development in North America. Concerns over electricity demand, water consumption, land use, tax incentives, and community impacts now accompany many proposed projects. In today’s operating environment, the threshold for public attention has dropped considerably. A utility interconnection study, a rezoning request, an unusual land purchase, or even local discussion among brokers and economic development officials may be enough to convince residents that a hyperscale campus is imminent. Social media can accelerate that process, turning scattered development signals into a local narrative that a data center is headed their way before any formal project has emerged.

Whether a project ultimately materializes is almost secondary. By the time certainty arrives, the perception has already shaped local policy.

When Early Signals Become Public Reality

Unlike manufacturing facilities or distribution centers, data centers leave traces well before construction begins. Utilities evaluate prospective electrical demand. Economic development agencies discuss infrastructure capacity. Property owners assemble land. Environmental and zoning reviews begin. Attorneys, consultants, surveyors, and civil engineers enter the process.

None of these activities guarantees a project will move forward. Collectively, however, they create an information trail that communities increasingly recognize. Local Facebook groups, neighborhood associations, and municipal meetings frequently connect these pieces into a single conclusion: a data center is coming.

For developers, these assumptions can create opposition before there is a project to explain. For elected officials, they generate pressure to respond before technical information is available. For utilities, they complicate conversations about legitimate load planning because speculative demand and confirmed demand become difficult for the public to distinguish. The phenomenon illustrates an increasingly important reality for digital infrastructure: public perception has become another consequential, if not crucial, variable in the development process, alongside power availability, permitting, land and infrastructure.

The Changing Political Environment

Timing is significant because data centers have moved from being a niche economic development topic to a national infrastructure issue.

At the federal level, President Donald Trump continues to support rapid data center expansion while arguing that technology companies and developers should pay for the power generation and infrastructure their projects require. The administration’s Ratepayer Protection Pledge calls for participating companies to procure new power, cover required grid upgrades and prevent those costs from being shifted to ordinary ratepayers.

At the state level, scrutiny is becoming equally visible. In July, New York Gov. Kathy Hochul imposed a one-year moratorium on new hyperscale data centers requiring 50 MW or more while state officials develop standardized environmental-review criteria and a broader regulatory framework. The action made New York the first state to impose a statewide data center moratorium and underscored how quickly concerns over power, water, infrastructure costs and community impacts are moving into state policy.

Virginia presents a different case. Northern Virginia remains the industry’s most mature U.S. data center market, but political scrutiny surrounding transmission infrastructure, energy costs, land use and local authority continues to intensify. State Sen. Glen Sturtevant has called for a statewide moratorium on new development, and the Spotsylvania County Board of Supervisors subsequently adopted a resolution supporting such a pause. Gov. Abigail Spanberger, however, has not endorsed a statewide moratorium, instead pursuing measures intended to make data centers bear more of the infrastructure costs associated with their growth. The episode is significant nonetheless: even in the market most closely identified with large-scale data center development, the political boundaries around future growth are being actively contested.

The Cost of Perception

For the industry, phantom data centers present several obvious challenges. Most immediately, they compress the timeline for community engagement. Opposition can begin months before developers are prepared to discuss a project publicly and years before we are even eyeing land in the vicinity. Recent polling underscores the skepticism developers increasingly face. Pew Research Center¹ found that 38% of U.S. adults consider data centers mostly bad for home energy costs, although Americans were more likely to see positive than negative effects on local jobs and tax revenue. Gallup², meanwhile, found that seven in 10 Americans oppose construction of an AI data center in their local area. By the time a formal application is filed, narratives regarding electricity consumption, water use, noise, tax incentives, or environmental impacts may already be well established.

These perceptions also complicate local decision-making. Municipal leaders may find themselves responding to rumors rather than applications. Utilities may be asked to explain infrastructure planning associated with projects that remain speculative. Economic development organizations can become reluctant to discuss legitimate planning efforts for fear of fueling additional speculation.

The result is an environment where assumptions begin driving policy discussions before engineering, environmental, or economic analyses are complete. That dynamic ultimately serves neither communities nor developers particularly well. Communities risk making decisions based on incomplete information, and developers face higher friction and longer timelines even for projects that could address many of the concerns now driving opposition.

However, the perceptions driving a community’s preconceived approval or rejection of a project may also provide useful information for the industry.

An Unexpected Source of Market Intelligence

The same phenomenon may offer useful information for the industry.

Site selection has traditionally focused on measurable criteria: available power, fiber connectivity, permitting timelines, taxes and incentives, workforce availability, and proximity to customers. Phantom data centers introduce another variable: community readiness. But like all things psychological, this is (at least initially) difficult to measure and map.

Markets that react strongly to preliminary development signals may provide an early indication of permitting risk, political complexity and public sentiment. In practical terms, that information can help operators triage sites: high‑resistance markets may require more expensive entitlement strategies or be better suited to smaller, phased builds; lower‑resistance markets may support larger campuses or faster schedules.

Conversely, communities that respond with measured questions rather than immediate opposition may indicate greater institutional familiarity with digital infrastructure and a more mature regulatory environment. Those markets may also have clearer expectations about noise, water, and energy impacts, which can make negotiations more predictable even if standards are stringent.

Neither reaction fully determines whether a project should proceed. Both provide valuable intelligence. And it is important to note: we need to see that neither reaction is wrong.

Viewed this way, early community reaction could become an indicator of social-license risk before millions of dollars are committed to site acquisition, entitlement and due diligence. They reveal where misconceptions require education, where engagement should begin earlier, and where concerns may stem from the project itself, from broader infrastructure impacts, or from uncertainty surrounding the planning process. They also help identify where local leadership is prepared to trade higher standards for long‑term economic benefits, and where there is little appetite for that trade at all.

For developers, operators, and investors, that information is now proving just as valuable as traditional site selection metrics. This will shape which markets deserve deeper diligence, which ones call for early utility and community briefings, and which markets may simply be misaligned with hyperscale development in the current political climate.

The challenge is turning community sentiment into information that can be evaluated alongside traditional site-selection criteria.

Moving Beyond Speculation

The answer is not simply earlier marketing campaigns or more aggressive public relations programs. Effective engagement requires understanding local concerns, motivations and political dynamics—and recognizing when community opposition reflects a durable constraint rather than a communications problem. We need to realize when no means no, and not interpret it as “try harder.”

Phantom perception also can’t be handled by any one operator in any one market; this must be a collective, such as a crowd-sourced data platform, market by market. What our industry needs are clearer frameworks for evaluating digital infrastructure against these additional community-readiness criteria, because speculation is increasingly filling information gaps before formal projects reach the public process.

Organizations such as OIX have begun working toward that objective. Its Digital Infrastructure Framework is modeled on traditional master planning and is intended to help communities evaluate what infrastructure they have, what they need and what they want as they plan for future technology requirements. The framework includes assessment criteria spanning investment readiness, policy, risk, sustainability and resilience.

Greater transparency can narrow the gap between perception and reality. But greater transparency will not eliminate speculation, and unfortunately, it also won’t eliminate fear. Large infrastructure projects have always attracted public interest and scrutiny, and data centers are unlikely to become invisible again as AI demand accelerates. The question is how the industry responds to that visibility.

The Next Stage of Data Center Development

Community reaction to perceived data center development represents another potential source of site-selection intelligence. If communities begin reacting to a project before a developer has formally advanced one, that response can offer an early indication of whether a market is receptive to large-scale digital infrastructure or already approaching its political limit. This gives operators and investors another axis to measure: not just megawatts, fiber routes, and tax policy, but how quickly perception will turn into support, skepticism, or outright resistance.

The next stage of data center development will hinge on whether we can use that signal well. Markets that reject phantom projects outright are telling us where to slow down or rethink our approach. Markets that ask hard, specific questions are telling us where serious standards and social license might actually make growth more durable. In both cases, perception is data.

For an industry accustomed to measuring megawatts, fiber routes, and transmission timelines, perception may seem like an imprecise variable. Increasingly, however, it is becoming a variable the industry needs to understand and, where possible, measure.

The opportunity now is to treat that data as part of our siting and design process, rather than a frustrating, delay-causing afterthought. If community readiness can be evaluated with some of the same rigor applied to power and land, early public reaction can become an early-warning system for where AI infrastructure can—and cannot—be built to last.

References:

1.       https://www.pewresearch.org/short-reads/2026/03/12/how-americans-view-data-centers-impact-in-key-areas-from-the-environment-to-jobs/

2.       https://news.gallup.com/poll/709772/americans-oppose-data-centers-area.aspx

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