AI’s Physical Footprint: The Environmental Consequences of Super Data Centers
July 21, 2026
By Evelyn Qiu
This publication is part of the 2026 Roosevelt Network Undergraduate Emerging Fellowship Journal.
Introduction
Northern Virginia currently hosts the world’s highest concentration of data centers, home to a region in Loudoun County fittingly nicknamed “data center alley.” These massive facilities—some stretching across millions of square feet—have become the engine of the artificial intelligence (AI) technology boom, both in the United States and globally. They are not simply single buildings, but are sprawling industrial campuses, often adjacent to residential neighborhoods, historical landmarks, and natural reserves. These data centers require staggering amounts of energy, leading them to draw on significant amounts of water, much of which is clean drinking water that is not properly recycled. From every generative AI cartoon image prompt to intensive computer coding inquiries, servers must use water to process information and then to cool down machinery from these heat-generating commands at a rapid rate. It is estimated that by 2027, global AI demand will reach between 4.2 and 6.6 billion cubic meters of usage, a staggering number that has been largely kept under the radar (Li et al. 2025).
The rapid pace of innovation in AI language models like ChatGPT is often praised, but the resource costs are often forgotten or unknown. Instead, technology use is thought of as unlimited. Terms like “the cloud” distract from what is, in reality, a deeply physical infrastructure (Schlossberg 2025). This carefully crafted phrase implies that data is stored in a weightless and ephemeral space, and many people assume that internet traffic goes through an invisible network that does not require physical resources. In reality, “the cloud” is grounded in sprawling complexes of concrete, steel, and server racks known as data centers. These physical facilities are the backbone of the digital age, and do everything required to store, process, and transmit the immense volume of information that powers everything from individual social media profiles to the ever-growing advancements of industrial AI systems. Often, the environmental and social consequences of the data centers that make modern life possible are obscured. At an AI summit in February, Sam Altman, CEO of OpenAI, defended AI energy usage, saying, “People talk about how much energy it takes to train an AI model—but it also takes a lot of energy to train a human” (Berger 2026). The justification for energy usage has equated non-sentient machinery to human beings, creating a narrative that we should devote as many resources to AI development as we should to ensuring people have access to natural resources.
The knowledge gap surrounding this issue has led to a problematic lack of regulation. Meanwhile, the environmental toll of AI infrastructure is only growing. High electricity use strains local grids and drives up utility bills for residents. Compared to five years ago, utility bills for residents who live in close proximity to data centers have increased by 267 percent (Saul et al. 2025). Furthermore, when electricity burns out, a reliance on outdated forms of energy like diesel backup generators increases carbon emissions and air pollution (Mamon 2025). These generators also require frequent usage to test their functionality, compounding their environmental impact. The constant low-frequency noise pollution emitted by data centers also disrupts the daily lives of nearby residents, creating health risks and reducing quality of life.
Unchecked AI infrastructure expansion matters because it reflects a broad imbalance between technological innovation and social responsibility. The US has largely embraced a neoliberal model of technology development, in which speed, profit, and competition are prioritized over sustainability, accountability, and regulation. In Virginia, tax incentives and lax zoning policies have enabled corporations to build without meaningful community consent or environmental review. As a result, AI’s physical footprint has grown faster than the policies needed to regulate it. This policy brief argues that loose regulations and insufficient transparency have allowed corporations to exacerbate the environmental and social costs of data center expansion, leaving communities to bear the consequences. The issue lies in the absence of responsible governance to ensure that innovation is done responsibly and to benefit the public rather than harm it. To address this, lawmakers must adopt policies that require accurate, publicly accessible reporting of energy and water emissions, establish limits on consumption and pollution, and empower residents to participate in decisions about data center construction in their communities.
Ultimately, AI innovation cannot be deemed successful if it undermines the health of the environment and the well-being of the people living alongside data centers. The challenge before policymakers is to balance technological progress with environmental preservation and community input, and ensure that the future of AI is not built on the erosion of the physical world it depends on.
Background and Context
It is important to trace the history of how Northern Virginia became the epicenter of the world’s digital infrastructure. What began as ARPANET in the late 1960s, a humble digital infrastructure that connected universities across the country, has now evolved into what we know today as data center alley (Loudon County Virginia n.d.). These immense technological advancements come at a steep and largely invisible cost: the depletion of natural resources, the degradation of historic landscapes, and the silencing of community voices. The origins of this problem lie in the neoliberal policy environment of the early 2000s and 2010s, when both federal and state governments prioritized market expansion over environmental protection. Virginia, in particular, positioned itself as a hub for technology investment through the 2010 Data Center Tax Exemption, which offered generous tax breaks on equipment and construction materials for data centers (Foster 2010). This policy was designed to attract tech companies by lowering operational costs. Loudon County, with its proximity to Washington, DC, and its cheap land, quickly became the preferred site for data infrastructure. Once a few data centers are built, it is efficient to continue taking advantage of the same tax breaks by building in the same location, which explains the concentration of data centers in the area. As the AI boom intensified in the 2020s, the demand for more computational space began to exceed the capacity of existing infrastructure in Loudon County. Companies then began to expand into neighboring Prince William County, a more rural area with large swaths of undeveloped land. Today, Prince William County contains nearly 12 million square feet of operating data centers (Mejia 2025).
Data centers have transformed Virginia’s local landscape. Within the past decade, data center presence has multiplied exponentially, with a staggering growth rate of 500 percent between 2015 and 2023 (Northern Virginia Technology Council 2025). The influx of corporate investment has made Loudon County the richest county in the United States, with data centers generating nearly $900 million in tax revenue in 2025 (Wyandotte Economic Development Council 2025). Despite how much wealth the data centers are accumulating, they require very few workers to run, shattering the myth that public investment can generate more jobs in turn. Small facilities only require about 8–15 people to staff them, while large ones require about 35 staff members (Broadstaff 2025). Furthermore, these facilities now occupy tens of millions of square feet of land that once consisted of forests and residential areas. The rapid construction of new centers has generated enormous energy and water needs, placing stress on local utilities and ecosystems that have not been able to keep up with the demand. The state’s early decision to prioritize corporate attraction over environmental stewardship established a pattern of neoliberal governance, where market incentives and privatized development were prioritized over public interest. Federal, state, and local governments adopted a largely hands-off approach, neglecting to implement regulatory frameworks that would manage the environmental footprint of these data centers. The local community, who must bear the environmental toll of these brutalist structures, suffer the consequences, while the absentee corporations that spearheaded the projects reap the benefits from afar.
A controversial project that has been proposed is the Prince William Digital Gateway Project, which could become the largest planned data center construction project in the world, spearheaded by QTS Realty Trust and Compass Datacenters (Prince William County n.d.). It was set to build about 22 million square feet of data centers, or 37 new data centers, adjacent to Manassas National Battlefield Park, a National Park Service (NPS) protected site. This site is known for its historical significance as the location of the First and Second Battles of Manassas (Bull Run) during the American Civil War (NPS 2024). Despite the clear risks to historical preservation and environmental stability, the Prince William County Board of Supervisors moved forward with the proposal, arguing that the project would generate new revenue and jobs (Swinhoe 2023). Local residents and environmental groups, including the American Battlefield Trust and the Oak Valley Homeowners Association, pushed back and filed a lawsuit on the grounds of improper public notice. The project then went through years of back and forth between the courts, until just recently, when it was finally fully overturned by the Virginia Court of Appeals (Prince William County v. Oak Valley Homeowners Association, Inc., et al. 2026). First, in 2024, Prince William Circuit Court Judge Kimberly Irving ruled in favor of the plaintiffs, halting the project on procedural grounds (Leayman 2025). She determined that the county had violated public notice laws and failed to ensure transparency in its planning process. Then, in late October of 2025, the Virginia Court of Appeals stayed Judge Irving’s ruling, halting the Circuit Court decision and allowing for the potential of an appeal or continuance of the project in the future (Muzyk 2025). Finally, in a major victory for county residents, the Virginia Court of Appeals halted the project just last month, because the county did not follow correct legal processes and allow adequate time for community input (Baratko and Kraft 2026). While Compass has pulled out of the project following this decision, QTS has yet to make a decision whether or not to appeal. This decision is a massive win for local advocates against big tech and highlights the importance of procedural due process.
Policy Analysis
The existence of projects like the Digital Gateway reveals the systemic weakness of current data center regulation. Virginia’s existing zoning and land use policies are fragmented and outdated, failing to account for the environmental scale of modern data centers. The absence of mandatory environmental impact assessments at the county level allows corporations to downplay or conceal their true ecological footprint. In addition, the state’s economic structure creates strong disincentives for reform. Local governments are heavily dependent on the tax revenue that data centers generate, even though these facilities generate relatively few permanent jobs. Financial dependency on the tax incentives makes policymakers reluctant to impose restrictions that could deter future investment. But while the construction period of a data center can require up to 1,500 laborers, that number decreases to only 50 to keep the center running once it is built (Barth et al. 2025). This is because, unlike traditional businesses that create a product, data centers only exist to keep computer chips running, like a warehouse that stores the power-hungry chips that large language models (AI chatbots) rely on (Bisaha 2025).
Next, the lack of transparency requirements enables corporations to operate without meaningful public contribution. Most data center companies do not disclose accurate or consistent data about their annual energy use, water consumption, or carbon emissions. Without publicly available data, citizens or lawmakers can’t evaluate the true environmental cost of the industry. Finally, the cultural narrative surrounding AI and digital technology as innovative and future-looking has discouraged policymakers and citizens from critically engaging with its material consequences. The prevailing assumption that innovation should not be slowed by regulation has prevented meaningful reform, even as environmental degradation and community opposition continue to mount.
It is crucial to remember the inequity that lies behind the predominant rhetoric of “progress.” Environmental costs are absorbed by local communities, and cultural and historical sites are left vulnerable when political progress is championed by corporate convenience over democratic participation. Challenging this system requires more than just opposing a single project. It requires confronting the capitalistic mindset that sees rural and historically significant landscapes as empty land waiting to be monetized. Communities have begun to push back, including homeowners, environmental coalitions, and historical preservation groups. The court ruling that blocked the Digital Gateway was a victory for some of these very homeowners, yet the follow-up reverts to the pattern of corporate power over community voice.
Policy Proposal
To address the unchecked expansion of data centers in Virginia, state legislators, county-level policymakers, and environmental regulatory agencies must act decisively to rebalance power between corporate developers and the communities most affected by their projects. The following proposals seek to restore transparency, accountability, and democratic participation for local community members.
- Mandatory Environmental Transparency Reports
Currently, there is no standardized public reporting requirement for data centers’ energy, water, or carbon emissions. This absence allows companies to consume vast amounts of resources without accountability. Data center companies should be legally required to publish annual environmental reports that accurately disclose total energy usage, water consumption, and carbon emissions. These reports must be third-party verified and made easily accessible to the public. This would act as a precondition for meaningful, evidence-based environmental regulation. Once reliable data is collected and made public, the state can commission an independent environmental study to determine appropriate benchmarks for sustainable operation. This research should inform enforceable usage caps on water and energy consumption, with penalties for companies that exceed them.
- Resident Approval
Transparency alone cannot correct the deeper democratic deficit in how data center projects are approved. Communities near proposed sites bear the brunt of the noise pollution and land disruption and must have a more direct voice in the decision-making process. To remedy this, projects within a defined noise and environmental impact radius should be fully informed of the full implications of building a data center near their residences, both in terms of noise level and landscape alterations. Any proposed project must be subject to a resident vote before approval. Currently existing data centers that are producing incessant noise that disrupts residents’ quality of life must invest in noise reduction strategies, such as soundproofing walls and equipment, or utilizing less abrasive cooling strategies. Companies should also invest in planting more trees, shrubs, and other greenery that will increase the landscape’s aesthetic value.
- Community-Centered Land Use Planning
To protect the integrity of existing landscapes, a community-centered land use planning project should be created to prioritize environmental and historical preservation. Rather than creating zoning boundaries where data centers are allowed to be built with free rein, data centers must be strictly prohibited from being built within a certain radius of NPS sites, state forests, or other environmentally fragile or culturally significant areas. To support more balanced development, the state should conduct a comprehensive zoning and land suitability study, where land is properly scoped out and determined to be fit for construction before planning.
- Public Awareness and Education
Lastly, reform cannot occur in isolation from education. The growing popularity of generative AI has caused the presence of physical data centers to be largely ignored, and the damage understated. Local town halls should be instituted that allow residents who have been negatively impacted by deregulated data center development to speak out and inform the public. Furthermore, educating residents about the environmental and economic impact of these facilities is essential. Public knowledge must shift from the frame of neoliberal competition to one of sustainable governance, where environmental stewardship and democratic participation are valued as highly as innovation. Funding should be granted to organizers and advocacy groups that work to mobilize people and host public education forums, as well as to think tanks that can work to research effective strategies for reform.
Conclusion
The exponential growth of data centers in Northern Virginia reveals the falsity of the term “the cloud.” What is marketed as an immaterial realm is actually a sprawling network of physical infrastructure consuming vast amounts of resources that are shared by the communities that live next to them. This concentration of facilities has transformed Northern Virginia into an industrial landscape. The unchecked expansion of data centers raises urgent questions about who gets to decide the shape of progress and who bears its burdens. When projects like the Prince William Digital Gateway are proposed adjacent to historic and environmentally fragile sites, the issue is not merely about land use, but also about justice and governance. Communities are too often treated as obstacles to growth rather than as democratic stakeholders with a right to shape their environment. This reflects a broader systemic problem where technological development prioritizes efficiency and profit over transparency, sustainability, and collective consent.
The policy reforms proposed in this brief are designed to rebalance that discrepancy. Requiring data centers to accurately measure and publicly report their energy, water, and carbon emissions is not simply an administrative measure; it is a moral and democratic imperative. Transparency restores the public’s right to know how the infrastructure that powers their daily lives affects their environment. It provides a factual basis for oversight and empowers both residents and regulators to hold corporations accountable for their ecological footprint.
Equally important is the recognition that the social costs of these developments must be compensated. Residents living near data centers face persistent noise pollution, rising utility costs, and the industrialization of once-quiet neighborhoods. Implementing tax credits or welfare stipends for affected communities is a necessary corrective to an economy that currently externalizes its harms. These measures acknowledge that while the digital economy may be global, its impacts are profoundly local.
The digital revolution should not come at the cost of the world that makes it possible. By grounding technological progress in transparency and accountability, Virginia can ensure that the promise of innovation is not just to build faster networks but to build a more sustainable and equitable future.
References
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Acknowledgments
First, I would like to thank my valued mentors at the Roosevelt Network for all their incredible support and guidance throughout the process. Thank you to Eric Paul for your leadership and encouragement throughout the process, and for your dedication to building up young leaders in the progressive policy movement. I would also like to thank Hannah Blumenfeld-Love for all your wonderful feedback and encouragement throughout the process. Your mentorship and time have been truly invaluable in both my professional and personal growth. Thank you as well to Ijeoma Ogbonna for all your thoughtful comments and advice throughout the writing process. In addition, thank you to all my dear friends in the Emerging cohort. I am lucky to be surrounded by such intelligent minds and am proud to be a part of the next generation of future leaders.
I would also like to thank Professor Anasse Bari of New York University for first drawing my attention to the issue at hand and for igniting my passion for tech policy. It is thanks to taking your courses that I first gained an interest in computer science, which I aim to translate into a career that will advocate for the public good while driving innovation.
Thank you to all the experts, organizers, and community members I interviewed for this brief: Grace Mamon, Shaolei Ren, Elena Schlossberg, and Bill Wright. Your input and perspectives have been invaluable in driving my research, and I am truly grateful for the time you have dedicated to speaking with me.
Finally, thank you to my friends and family, whose unwavering support provides me with endless encouragement to pursue my goals. I am truly honored to have had this opportunity and am excited for the path ahead.
AUTHOR

Evelyn Qiu is a recent graduate from New York University, where she earned a BA in English literature and philosophy with a minor in computer science and mathematics. Originally from Silicon Valley in California, she has been at the epicenter of technological innovation throughout her life. Since the AI boom, she has gained an interest in the need to regulate the rapidly growing industry to protect public safety while simultaneously sustaining ethical technological advancement. Later this year, Evelyn will work as a Litigation Paralegal in New York City, and hopes to pursue a career at the intersection of law and technology.