At What Point is This Pleasant?
Examining a Data Center in Mason County, WV
Alexandra Constantine, Venkat Das, Allie Johnson, Jacob Smertneck
Alexandra Constantine, Venkat Das, Allie Johnson, Jacob Smertneck
Nearly 60 years ago, a shadow flew over Point Pleasant, West Virginia. This humanoid, winged creature — which would later be known as the “Mothman” — glided above the Silver Bridge. Just over a month later, the bridge collapsed. Since that day in 1966, the Mothman has been seen as a legend, a warning, a portent, but always associated with a sense of looming catastrophe. As of 2026, the town in which the Mothman was first spotted is faced with a new imminent development: the proposed construction of a data center and microgrid just miles from the city center. We first learned of this in January 2026, when information on the proposed “Monarch Compute Campus” was incredibly scarce. Since then, some new information has been made available, and we’ve seen an exponential growth in grassroots activism, but the future still seems uncertain. As the site begins construction, our research aims to explore the political tension, community response, and environmental future behind the Monarch Compute Campus in Mason County, WV.
The Monarch Compute Campus is a large-scale AI data center and microgrid development currently under construction in Mason County, West Virginia, near Point Pleasant. It is part of a broader effort to expand AI infrastructure and energy development within the state. Unlike traditional data centers which utilize power from the larger grid, Monarch is planned to generate its own power on site using natural gas generators.
Current estimates place the completed power capacity at approximatively 8 gigawatts, though the exact scope and timeline of construction remain unclear. The project is divided into multiple sites spread across a large rural area near existing residential communities, farmland, and forested hillside.
The map to the left shows an approximate interpretation of the proposed site footprints based on publicly available planning materials, georeferenced to match real-world scale.
About HB 2014
House Bill 2014 was a bill passed by the West Virginia state legislature in 2025. The purpose of the bill was to create an attractive environment for data center and microgrid development in the state. The major result of this legislation was that certain local bodies such as County Commissions and Public Service Commissions were curtailed or completely barred from regulating these sorts of projects. This has led to the proliferation of proposed data center projects in the State from the eastern panhandle to the southern part of the state, and of course, also to Point Pleasant. This bill was argued to be necessary for West Virginia’s economic development, with the governor arguing that it would put the state on the map. Additionally, local and state politicians have trumpeted claims about job growth and tax revenue that would come from these projects. Activists have argued that this legislation allows communities to be ignored and deprives citizens of the democratic right of consultations toward what happens near them. Additionally, they argue that this allows environmental concerns to be ignored in favor of rapid economic development.
Our research combined digital observation via Facebook, site-based ethnography, and semi-structured interviews. We began by compiling a literature review developing key theoretical concepts, including extractivist industries and community responses. Secondary research then involved exploring local news articles, press releases, and a relevant Facebook group that included many Mason County locals. We also attempted to contact local officials, including the president of the Mason County Commission — yet none of our requests were fulfilled. Instead, we scheduled interviews with two residents of Mason County, contacted via Facebook. Upon arriving in Point Pleasant on March 28th, we conducted two semi-structured interviews: a ninety-minute conversation with a couple living adjacent to the proposed construction site, and a conversation with another concerned resident that had begun compiling research on the Monarch Compute Campus. Our semi-structured approach allowed us to gauge the emotional responses of those we interviewed, and enabled information to emerge organically. These interviews gave us remarkable insight into how locals were interpreting and interacting with uncertainty and risk in the absence of reliable sources.
Regulatory Capture
“It's like a train is coming at you, and you're tied to the track”
Throughout our research we read how extractive industries often are accompanied by regulatory capture. What this entails is extractive industries having undue influence on the agencies that are meant to regulate them, which manifests through a less burdensome regulatory environment or just regulatory neglect. West Virginia is not a stranger to this as historically coal companies were intertwined with regulatory agencies, especially WV DEP and the mine safety commission. In the 2011 paper "Coal Miners Slaughter" by Chanell, this issue was raised in regard to Upper Big Branch explosion in 2010 where the regulatory apparatus had been woefully neglectful in the issues existing in the Upper Big Branch Mine. However, what seems unique is that in the case of AI Data centers there has been a preemption of regulatory capture before the industry has even set foot (or set foot in a meaningful way) into the state. This seems to be the case with HB 2014, which clears the regulatory environment for these projects and bars local governments from regulating them. This bill explicitly bars local county commissions and public service committees from regulating these projects, instead creating a state process for approval. This has been lauded by those spearheading the project as being favorable for the development, such as Dan Shapiro, CEO of AIP (one of the companies involved with the construction of the project), thanking Governor Patrick Morrisey for passing the law. This has basically set up an environment where it is easier for companies like AIP, Fidelis, and Nscale to avoid meeting with the communities near this project since there isn’t actually an official requirement for consultation with the communities these projects will be built in.
This tracked with the information we got from both of our interviews in Mason County with both Susan and Gary as well as Eric, stating that in the local meetings where this issue was brought up, officials affiliated with the companies that owned the project were either not present or if they were present they did not speak rather allowing local officials, like county commissioners to speak. This ties into the other example of regulatory capture, which is the fact that the organs that would be supposedly veiling for the interests of communities, such as county commissioners, broadly seem to be bending backwards to support these projects rather than listen to the concerns of the community. In the meetings with Susan and Gary they mentioned how in many of these meetings there was broadly a consensus from community members attending that these projects were harmful. Despite this, the majority of these county commissioners used certain points that seemed to come from the companies. Commissioners would raise points such as the increased tax revenue and elevating the status of the county, seemingly disconnected from the concerns of those living adjacent to the proposed development. Despite their support, it does clearly seem like HB 2014 would neuter any opposition that county commissioners would have. This is arguably not too dissimilar from the erosion of the power of MHSA (Mine Health and Safety Association). This occurred due to the increasing power of coal companies such as Massey Energy (the company implicated in the Upper Big Branch Disaster), which squeezed out organizations like MHSA and the UMWA (United Mine Workers Association) acting as checks on their power. There are not any official documents that show what kind of arrangement any organizations associated with data center development offered to the West Virginia state government (though there has certainly been speculation from our interviews about the exigence for this legislation), but the similarities of the regulatory environment are hard to miss. In some sense it did also seem to be more than what the coal companies ever got, with HB 2014 offering very lucrative tax arrangements for companies that decide to locate their projects within the state. But the major difference between the regulatory framework for these microgrid projects in contrast with coal regulation is that this seems to be a preemption rather than a form of capture due to the vested interest of companies. Despite this difference, it seems to fit into the frame of regulatory capture.
Uncertainty and Transparency
“What’s he going to do, put a data center in my backyard?”
Something quite apparent through our experiences in Point Pleasant as well as other field note experiences is how many of these microgrid/datacenter projects are shrouded in secrecy. Our discussions with Susan and Gary illuminated this with the fact that despite there having been multiple public meetings, no figures associated with the companies in charge of the Monarch Compute Campus have spoken to the community. This is compounded with the fact that the way they found out about the project was through non official sources and they have received basically no actual information about the impacts of the project, rather relying on sparse facebook posts, and hype filled press releases. This also seems to be the case for the datacenter proposal in Tucker County as highlighted by the presentation on the 22nd of April where the Tucker County community was similarly kept in the dark until a couple individuals received mail about the proposal.
At one point during the Tucker County panel we attended, Dr. Eisenberg said that one of the biggest problems is that “there are no experts on data centers,” which aligns with Vonderau’s “technologies of imagination,” where a lack of clarity in the fact-finding process shifts the power over future imaginaries towards those with the most technical knowledge. In Mason County, the barren informational ecosystem caused by unclear documentation, redactions, and alleged NDAs limits the functional power that residents have to respond to the project in any meaningful way. The project is split across too many systems at once: it is an AI issue, an energy issue, a legal issue, an environmental issue, a land-use issue, and a political issue; each requiring their own form of expertise, but the people closest to the potential harms are expected to understand all of them at once. We saw this clearly in our interview with Susan and Gary, and again with Eric. Susan and Gary attended meetings, followed the project through its multiple stages as it changed hands, and tried their best to understand noise, soil, and water pollution as well as carbon sequestration, all while relying on scattered and intentionally vague sources. Their uncertainty was produced by the way the project was communicated and reinforced by the ecosystem in which they were forced to evaluate it. This resonates with Liboiron, Tironi, and Calvillo’s argument that harm is shaped by the systems that decide what becomes recognizable as evidence. Susan and Gary could track noise and collect soil samples, but their knowledge still had to be filtered through institutional standards before it could be made legible. Eric’s experience followed a similar pattern as he sought out technical documentation and compiled multiple competing sources to create a sense of a plan. His experience doing so led him to believe the project might not be real after all, since it seemed too disorganized to be true. Even though he does not live near the site, Eric felt compelled to organize the community and establish some basis for shared information. Nucho’s discussion of post-grid imaginaries also resonates with how the “microgrid” framing clashes with experience. The microgrid makes the project sound self-contained, similar to the supposed closed-loop water filtration system, but Susan and Gary predict that their already stressed water and electric grid will not be able to handle new infrastructure. Photos depicting machinery that residents claim was for testing well water were seen as evidence that the company was planning on pulling from the local aquifer, and not the river. As Susan put it: the project will "kill the neighborhood."
Pictured above is an example of documentation that we were able to find. Other scattered documentation like this act as the clues that residents must piece together to find information.
Activism & Community Response
“Can I move? Yeah. But the people around here are so disappointed that I'm just like, ‘You know what? I'm gonna see what I can do.’”
What stood out to us in Point Pleasant was that activism around the Monarch Compute Campus seemed to begin from the difficulty of finding useful information. Prior to visiting the site, we could only piece together scant bits of information from newsletters and press releases. The project's details were excessively opaque, and what little information did exist was scattered, leaving residents to piece together the picture on their own. Again and again, people were asking what the project actually was, how it had been approved, why they heard so little about it, and why information was so difficult to verify.
Our interlocutor, Eric, described this clearly when he explained that “everyone’s information for the past five or six years in the whole county — it’s all come from Facebook. But it’s not been on a centralized post or in a centralized location.” Before opposition could become fully organized, residents first had to make the project legible enough to respond at all. Community members chose Facebook as their primary method of organization: in a relatively small community, many people already used Facebook and were connected to community groups on the platform. Thus, Facebook was a natural choice. Even when a platform was chosen, though, it was difficult to gather information on the project, let alone disseminate it to the whole community.
Because of this, the community response has to be understood as a response to opacity. Those that we spoke with had been made responsible for understanding an event that they did not create, did not invite, and could not easily refuse. Much of the early activism we saw took the form of ordinary people becoming researchers by necessity. Residents collected permits and documents, made maps of the proposed site, attended public meetings, and took noise, air, and soil samples for testing. Eric was even able to provide us with a binder packed with permits and documents relating to the campus. The lack of communication from Fidelis resulted in community members educating themselves and others, using their own expertise and backgrounds to translate Fidelis’s plans.
We saw this most in our interview with Susan and Gary, whose home so closely bordered the site that the term “fenceline community” was literal. Their yard sat beside the marked edge of the site, and the project was changing their relationship to their home long before construction had begun. They said that they had been opposed to the data center since 2023, before it had gained any semblance of public attention. Susan described the many times before that she had resisted developement projects in her neighborhood that threatened their home, but that none of them were quite like this. She said that she was tired from fighting an uphill battle, but that there was no other option.
Currenty, a social media page is the primary site for activism. Since we started our research, the page has grown from around four-hundred users to twelve-hundred. For privacy sake, we decided not to reveal the group's name, as they are considering taking it from public to private. However, this seems to be a common concern among those we spoke to, who all wished to remain anonymous. For these reasons we have decided not to include images or videos from the page as well.
Gary told us that they had gotten used to the sight and sound of the nearby coal-fired power plants, and prefer them over what's to come.
Small flags act as markers depicting the boundary of the project stand adjeacent to the fence.
As AI becomes more prominent — and requires more infrastructural support — ethical challenges such as that posed by the Monarch Compute Campus will continue to unfurl. Our research here has shown that community members are beginning to recognize and respond to the negative results of AI infrastructure, even as construction is just now beginning. Concerns around quality of life, property values, environmental effects, and the affordability of energy and water remain central to resident pushback. Even with the lack of transparency demonstrated by Fidelis, community members continue to organize against a development project from which they feel excluded.
However, this is not to suggest that local opinion is unanimous; the decades of industrial decline that have shaped all of West Virginia contribute to a desire for economic revival. Like many extractive projects before it, the Monarch Compute Campus is promised to be an economic boon that will provide highly-desired jobs to those in the area. Yet regardless of varying individual opinions, budding movements like the Facebook group we interacted with have posed a grassroots resistance to the construction of the campus. The narrative around job creation is being challenged, and even as the ground breaks on construction, many residents see little benefit for those actually living in Point Pleasant.
Tensions will likely escalate as construction continues, and Mason County residents begin to experience the effects of the project. The preemptive regulatory framework established by HB 2014 has already narrowed the pathways available for local resistance, raising questions about how governments can begin to represent their constituencies while pushback is being silenced. There is no simple solution to ethical concerns created by projects like the Monarch Compute Campus. However, continued research and activism may help to ensure locals stay informed and active in their communities, serving as a counter to attempts at obfuscation. We have yet to see the political and personal consequences of this project, but the Monarch Compute Campus could serve as a critical case study for how AI infrastructures continue the legacy of extractivism, and how communities on the frontlines are beginning to push back.
It has been difficult to find research that specifically addresses the concerns of AI data centers from an anthropological perspective. This is no doubt due to the recency of these developments. However, the systems of extractivism and energy politics that fuel projects such as the Monarch Compute Campus are nothing new. In this literature review, we consider the ideologies behind extractivist enterprises, including the unequal distribution of environmental consequences within “sacrifice zones.” Further, we acknowledge the long history of community pushback against extractive projects, particularly in Appalachia. Finally, we consider how larger systems of energy politics and administration made a project like the Monarch Compute Campus possible in the first place.
Liboiron, Tironi, and Calvillo (2018) set the framework for understanding extractive infrastructure by showing that toxicity is not best understood as a result of isolated “bad actors,” but as something shaped through the political and regulatory systems that determine what becomes recognizable as harm. This framework is useful for thinking about the Monarch Compute Campus in terms of impacts such as water use, emissions, energy demand, and land use, which may be interpreted through technical thresholds and narrow standards of evidence that make some harms easier to acknowledge than others. Under this lens, infrastructural change often introduces new forms of harm that are not easily measured or discussed, but remain easy to justify due to an orientation towards innovation.
Brock and Dunlap (2017) highlight the changing nature of how extractive infrastructure is proposed and justified. With the paper focusing on how the German company (RWE) framed the opening of a new coal mine in the Rhineland region of Germany using tactics such as promoting it as a green project and discrediting activists as stalling progress. This was quite explicitly an extractivist project and as mentioned in Liberon, Tironi, and Calvillio (2018) these development projects, whether coal mines or data centers, are justified through discourses surrounding innovation or how they have become less carbon intensive, hence more green. This source remains relevant on how extractive projects are justified and how they fight back against those opposing them through the soft counter-insurgency of propaganda and hard counter-insurgency of mobilization of state forces.
Energy is often procured through extractive infrastructure. This much is obvious by this point, as clarified by Brock and Dunlap (2017), as well as Liberon, Tironi, and Calvillio (2018). Yet the actual scale of infrastructure required to enable the rapid expansion of the AI industry is difficult to fathom. Rohde et al. (2026) approach the environmental impact of AI through three lenses: environmental justice, climate justice, and multispecies justice. Through these three frameworks, they trace a timeline of environmental theory — however, rather than privileging a single position, they consider the three in tandem as modes of understanding the unprecedented environmental challenges posed by AI. Regarding these challenges, Rohde et al. identify the vast quantities of water and rare earth minerals required to fuel AI technologies. This imperative placed upon AI companies — procuring as many of these resources as possible — incentivizes rapid growth and exploitation. This exploitation is especially prominent in the global south, where these resources rarely benefit the actual communities they come from.
Like many resources on AI data centers, this paper is incredibly new — which is excellent for our project. It provides some preexisting body of research connecting AI with environmental justice. While Liberon et. al (2018) and Brock and Dunlap (2017) provide an excellent introduction to the politics of extractivism, Rohde et. al (2026) analyze the disparate impact of AI data centers on certain parts of the world. While West Virginia is not a part of the global south, it has a long history of exploitation — and wealth created by West Virginians rarely stays in West Virginia. In addition, this proposed microgrid in Mason county explicitly exists to power AI technologies – and thus, directly relates to the "infrastructure of AI” as discussed by Rohde et al. (2026).
Nucho (2022) extends this discussion by showing that alternative energy infrastructure emerges not only as a technical response to instability but also as a social and political tool. Her discussion of “post-grid imaginaries” is especially useful because it shows how infrastructural separation, such as microgrids, can be framed as innovation when reliance on civilian grids becomes inconvenient for extractive industries. In the case of the Monarch Compute Campus, the microgrid may be presented as relieving potential strain on local communities, even when the benefits of that infrastructure are not meaningfully available to the public itself as a result.
On paper, Juskus’s (2023) article provides a brief “history of the sacrifice zone” as a concept — how the term originated and evolved into what it is today. This alone is immensely helpful for understanding modern discussions of climate activism — however, the scope of Juskus’s (2023) analysis goes beyond this. He considers, through the lens of his own ethnographic research, how communities react to the concept of a “sacrifice zone”, and how the term affects activist initiatives. Through comparing ethnographic research and past debates on the concept of the sacrifice zones, Juskus aims to describe: “...how the concept of a sacrifice zone emerged, developed, and was enriched through encounters with diverse populations in various contexts over time…” (Juskus, 2023, 4). In many ways, Appalachia was used as a proof of concept for the sacrifice zone — an example of what rampant and unfettered exploitation could bring the rest of the country. However, he notes that — as spurred on by many indigenous and postcolonial scholars — the sacrifice zone shifted in the public consciousness from an unfortunate inevitability to an inherently unethical product of a broken system.
The concept of a “sacrifice zone” in general is undoubtedly related to our research project. Historically, West Virginia has often taken on the role of a sacrifice zone, and though this paper does not yet focus on West Virginia, it provides excellent context for more specific case studies. This article is especially relevant, though, as it shows Appalachia as the prototypical sacrifice zone in the United States. It is possible for this to happen again — for Appalachia to become the new frontier for AI infrastructure. Many state officials seem to be hoping for this, at least. As we examine counternarratives to AI as West Virginia’s economic savior, pulling from past scholarship on sacrifice zones (especially in Appalachia) provides an invaluable theoretical backing, for both the remainder of this literature review and our project as a whole.
William Freudenburg (1992) analyzed how rural communities in the Appalachian region are dependent on extractive industries and the economic and social structures that are impacted as well. In this article, Freudenburg coined the term “addictive economies” to show the evolving relationship between communities and extractive companies. Freudenburg (1992) described the evolving relationship between communities and extractive companies, much like drug addiction; where rural or impoverished communities experience a pleasing “boom” in society when a power plant or coal mine opens nearby. In the beginning, industries in these “addictive economies” create new jobs,increase the population, and bring money into the economy, but over time, long-term consequences or side effects begin to appear; such as the pollution of the environment and individuals, or loss of employment if the resource is exhausted (Freudenburg 1992, 305-307). While Freundenburg (1992) does not directly discuss power plants, his use of this “addictive” metaphor clearly shows the negative impacts of extractive industries in a straightforward format. This article provides a different perspective to the debate on the economy versus the environment, than Kojola (2017) by exploring the role of industry dependence on rural communities. Similar to McGarity’s (2019) work, however, Freundenburg (1992) addresses the importance of possible job opportunities and economic stability that large industries tend to idealize.
Fredricksen and Himley (2019) offer an additional theoretical lens to analyze sacrifice zones positing the concept of extractive frontier. They define this term as zones where people are alienated from resources as corporate entities seize them. The important part of this paper that connects to the other sources is the fact this is an analysis of the strategies that “that firms and their allies deploy to secure and preserve the transformed relations of land and resource access upon which accumulation relies” which is relevant when talking about the history of the coal industry and other extractive industries within West Virginia. This transformation of relations of land and resource seems to be the basis of sacrifice zones as after these land relations are transformed there are zones where extraction without care occurs. This is very relevant in terms of the discourse surrounding AI Data centers where activists and researchers are raising alarms about the resource usage of the projects which could potentially set in motion multiple decades of extraction on those plots of lands. (Rohde et al. 2026)
Nading (2020) adds an important anthropological layer to this discussion by showing that toxic exposure is not just a singular event or an isolated bodily condition, but an ongoing reality shaped by harmful substances, the infrastructures that distribute them, the institutions that manage or define them, and the everyday conditions through which people experience them. This is useful for the literature on sacrifice zones because it shifts attention away from toxicity as something recognized only through formal measurement and toward toxicity as something lived, interpreted, and navigated through uneven systems of responsibility and trust. In this sense, Nading helps show that sacrifice zones are not only produced through large-scale extractive development, but also through the everyday conditions in which communities come to understand harm, especially when official channels of reassurance or accountability are experienced as partial, delayed, or compromised. His more-than-human approach is also important because it treats community interpretations of industry and risk as meaningful forms of knowledge rather than as secondary to technical assessment.
Nicholas Stump, Head of Research and Reference Services for the WVU College of Law, established early on in his book Remaking Appalachia: Ecosocialism, Ecofeminism, and Law, that the Appalachian region has historically been an “energy sacrifice zone”. In this zone, extractive industries, like coal and natural gas, have destroyed the environment and very nearly the economy, and with poor environmental law, will continue to do so (Stump 2021, 1). Based on previous research, and as the title points out, Stump (2021) theorizes that if systems were ever able to restructure in an ecofeminist and ecosocialist manner, that is very likely to increase the material-based quality of life for many in Appalachia. This large change could lead to a major cultural shift in Western society, where there would be more focus to meet basic needs over hyper-consumerism (Stump 2021, 4-6). One of the most important aspects of this major reform comes from West Virginia’s long history of grassroots activism. Stump points out the significance of the Mine Wars, as well as the more recent teacher strike, in combatting “the system” across race, gender, and class (Stump 2021, 7; 165). Grassroots activism has continuously played a major role in West Virginia’s history, so turning attention to environmental issues might inspire another transformation in the Appalachian region or even globally Similar to McGarity (2019), Stump (2021) refers heavily to environmental law, and West Virginia’s long history with poor legislation on pollutants, and bridges these issues to the need for activism.
Renfrew and Pearson (2021) help frame the literature on community response to petrochemicals and activism by distinguishing between pollution legacies and toxic events. Rather than treating contamination as politically meaningful the moment it exists, they show that harm becomes socially legible through processes of discovery, narration, and contestation. Their concept of a “toxic continuum” is especially useful because it frames response not as a simple shift from awareness to resistance, but as a movement across invisibility, suffering, resignation, and refusal. This perspective suggests that environmental harm does not automatically produce collective action; instead, response depends in part on whether harm can be recognized, named, and attributed within broader struggles over responsibility and accountability.
The advent of generative AI is a relatively new development — but as Bell and York (2010) reiterate, the extractivist ideology associated with it has existed for decades. Using a neo-marxist lens, they examine how extractive industries manufacture legitimacy among communities; this includes communities they are actively harming. Through analyzing the economic (and eventually, ideological) dependence of communities in West Virginia on these extractive industries, Bell and York illustrate how: “many of the people suffering the most acute costs of ecological degradation are some of the least likely to fight against the treadmill processes because of their economic dependence on the destructive industries” (Bell and York, 2010, 115). Coal companies, for instance, actively associate themselves with visions of upward mobility and rural masculinities, both of which are often attractive to working-class men. Bell and York’s framing emphasizes the connection between economic growth and environmental degradation — with the important note that the “treadmill of production” often leads to fewer jobs, not more (Bell and York, 2010, 112). This fact is intentionally obfuscated by these companies, resulting in a general communal attachment to these extractivist industries — in particular, the coal industry.
While this article may, at least at first glance, appear to only focus on the coal industry, it establishes a crucial background for understanding community identities (and thus, community movements) in West Virginia. When approaching social movements, it is important to understand what might prevent a social movement from manifesting — and Bell and York do an excellent job of this. Since AI-fueled industrial development is so new, looking back at community reactions to coal provides a barometer for recognizing common patterns. While West Virginia was previously defined by its relationship to coal, officials such as Jim Justice now appear poised to welcome in generative-AI as a new major export — and it is crucial to draw the connection between these two threads.
Similar to Bell and York (2010), Erik Kojola (2017) examined the beliefs and cultural identities surrounding the works in the resource extraction industry and their relation to environmental movements. While focused primarily on the Keystone XL Pipeline, a proposed expansion designed to transport oil from Alberta, Canada to the Gulf Coast of the United States, Kojola (2017) also investigated the connection between the environment, labor, and capitalism in Appalachia; further examining the “job versus the environment” debate. The communities and workers who rely directly on resource extraction, whether for work or capital, are directly faced with both environmental and job-related hazards that come with the polluting industries (Kojola 2017, 896-897). Like Freudenburg (1992), Kojola (2017),does not attribute communities’ dependence on the resource extraction industry to only capitalist ideology, instead, he also examined how environmental groups have historically neglected economic and class issues, which impact the daily life of workers. Kojola also explored the ideologies and identities associated with resource extraction, including the symbolism of masculinity, whiteness, nationalism, and progress; and how they appear in the media (Kojola 2017, 897-898). One major proposed benefit from the microgrid industry is economic stability and job security. In West Virginia, a state composed of loyal hard workers and faithful providers, job security is crucial for survival, regardless of the work’s impact on the environment or self. Shepherd-Powell (2025) also researched job security and economic benefits seen in West Virginia, as the coal industry shifts to AI. Kojola’s (2017) research challenges this debate of economy versus environment, by determining the two areas can coexist.
As has been well-established, coal is everywhere in rural Appalachia. This remains true even today, a fact which Shepherd-Powell uses to anchor her ethnography of Wise County, Virginia. The bulk of her ethnographic work takes place in 2011 — just before the 2012 presidential election. However, her political questions are grounded in the economic and political realities of living in the aftermath of coal. For many rural Appalachians, the booming days of coal are a reality that they desperately want to return to — and as Shepherd-Powell writes, this is fundamentally because: “It was a good place to live because people had money and the community was thriving.” (Shepherd-Powell, 2025, 7) Considering the rates of poverty in Appalachia, the overwhelming community desire for jobs often dominates political discourse. Shepherd-Powell uses her ethnography to explore the unease that permeates the legacy of coal — what does it mean to be a “friend of miners” vs. a “friend of coal” (Shepherd-Powell, 2025, 5)? How do communities cope with the constantly shifting policy around coal? And how do political currents in Appalachia reflect discontent with voters’ current realities?
Much of Shepherd-Powell’s work here has a political focus — and, notably, it pulls from ethnographic fieldwork done over a decade ago. However, even a cursory look at modern West Virginian politics will reveal uncannily similar sentiments : coal was the key to past prosperity, and there remains a way to claw said prosperity back. In the case of legislation around AI, the narrative is largely the same — according to some politicians, AI will be the new coal, powered by its intermediary, natural gas. Yet it remains to be seen how Appalachian people will respond to this — can this nostalgia for coal successfully be shifted to a far newer, far less understood technology? As we begin our fieldwork in Mason County, Shepherd-Powell’s work provides an invaluable compass for understanding the current political and economic state of West Virginia through an anthropological lens. While Bell and York’s (2010) and Kojola’s (2017) papers are relatively older, they can be combined with Shepherd-Powell’s work to create a deeper knowledge of extractivism and community responses, particularly in West Virginia. By using this compass, we hope to understand the future of a new extractive industry in West Virginia.
Dominic Boyer (2019) introduced the term energopower. Energopower is taking the framework of bipower, mechanisms used by the state uses to control the lives of people, developed by French philosopher Michel Foucault and applying it to the diffuse power relations in energy politics, specifically exploring“ how energie forces and infrastructures interrelate with institutions and ideations of political power.” (Boyer 2014) This analysis offers a useful theoretical basis as energy politics pervades the literature related to extractive industries as most are linked towards the energy needs of a community whether that be a nation or a town which obviously intersects political and commercial interests.
Another key aspect to consider in the discussion of future microgrids and the growing demand of artificial intelligence is what resources will be used to run this infrastructure. McGarity’s (2019) research provides an in-depth analysis and exploration of the power plant industry, legislation, pollutants, and resource extraction. By also examining recent events from both the Obama and Trump Administrations, McGarity expands heavily on the political aspects of the power industry, and how it has evolved over recent times (McGarity 2019, 206-220; 321-324). As of recently, politics have continuously alternated between environmental standpoints and legislation; creating consistent instability across the nation, especially in Appalachia. McGarity proposed numerous solutions to fix both regulation and business issues in the power industry, including “decoupling” charged rates of electricity, cybersecurity, and encouraging demand reduction (McGarity 2019, 331-335). The proposed microgrid in Mason County, West Virginia does not explicitly state what resources will be used to power the plant, but most plants have switched to natural gas. McGarity (2019) goes into great detail when discussing how power plants work, what they produce in terms of resources and pollutants, and why they are used; providing a clear picture of possibilities before, during, and after the Mason County microgrid opens.
Dunlap (2017) highlights one of the most paramount examples of energy politics or energopower in motion would be the construction of the Bíi Hioxo Wind Park in Juchitán de Zaragoza, Oaxaca, Mexico that was built in 2014. There was a confluence of ideologies and powers on the ground shaping the discourse on the ground. There were (mostly indigenous) activists and the Mexican government (local and national) who aimed to shape discourses around this project. The government and corporations argued this project would be useful for the green transition while activists argued that this project was not required to provide power to the public and was only beholden to its shareholders who ironically are made up of high carbon emitting corporations. In the most unadulterated way, energopower can be termed the harnessing or management of electricity and fuel in cases like this overlapping with biopower where these questions of electricity impact how people live. This example also showed this isn’t solely about discourse but also about force with security forces and state forces targeting. An example of more historical discourse tinged with energopower is the discourses regarding the mass building of power plants during the Second World War Two towards discourses of regulation during Clean Air Act towards modern regulations that vary between Democratic and Republican administrations. (McGarity 2019).
Vonderau (2018) adds an important dimension to the literature on energy politics by showing that data centers are not introduced simply as technical infrastructure, but as development projects made attractive through what she calls “technologies of imagination.” In her ethnographic work on Facebook’s first European data center in Luleå, Sweden, she shows how planned visibility, cultivated invisibility, and future-oriented narratives help frame the “cloud” as a transition into a cleaner and more modern future. Her contribution is especially useful because it makes clear that the politics of digital infrastructure are not limited to energy use or land use alone, but also include the ways corporations and municipalities shape what can be known, what remains uncertain, and what comes to feel inevitable. Read alongside Boyer, Vonderau helps show that energy politics are not only about the management of fuel, electricity, and land, but also about the production of narratives that make new infrastructures appear necessary, modern, and politically acceptable.
The Appalachian region has had a long history with extractive industries and the consequences that follow. In their article “Environment, Health, and Justice: TRACING THE CONNECTIONS IN GLOBAL MOUNTAIN REGIONS”, Anglin, Button, and Molina-Rosales (2018) examined different case studies surrounding the negative impacts of extraction, specifically in the Appalachian region, including Logan County, West Virginia and Warren County, North Carolina (165;168-170). By first examining previous federal action, or the lack thereof, a clear image is painted of the lack of effort and environmental legislation in the Appalachian region since (Anglin, Button, and Molina-Rosales 2018, 164). Recently, anthropologists and other researchers have targeted poor quality of living near extractive industries, by not only examining a decrease of crops and wildlife, but also other federal policies that maintain “quick fix” approaches to disaster (Anglin, Button, and Molina-Rosales 2018, 168-171). For many living in Appalachia, extractive industries are a part of everyday life, often going unnoticed. While some residents seem to be upset with the proposed microgrid in Mason County, West Virginia, many are unaware of the situation as it has been kept relatively quiet and out of the public eye. One of the most transformative approaches to this environment debate is the emergence of grassroots activism, by bringing attention to real-world situations. In doing so, people living in Appalachia become aware of the consequences of extractive industries, which are almost always overlooked on a federal level.
One of the major strains of discourse in energy politics would be the idea of regulatory capture or regulatory neglect. This is highlighted in Chanell (2011) which goes through how environmental laws were ignored or watered down by corporations like Massey Energy and regulatory agencies such as the Mine Safety and Health Administration (MSHA). It showcases how these discourses surrounding energopower are literally life and death, highlighting the Upper Big Branch Mine Explosion where 29 miners were killed in a mine that was not abiding by regulations. This is paramount in exploring as current discourses surrounding how to regulate power plants (McGarity 2019) and AI data centers are at the forefront of politics with bills such as “the One Big Beautiful Bill” originally aiming to halt any regulation of AI at a state level. As Vonduru (2018) posits these ideas of future oriented narratives shape these changes in regulatory structures as inevitable. While they are talking about the creation of data centers for cloud computing, this seems to historically apply to projects of extraction in other zones such as coal or the current discourses surrounding AI data centers.
These major themes found in our literature review point to a system deeply mired in both past extractive industries and imagined futures of energy production. As this background informs our anthropological understanding of AI data centers and the response they evoke, these concepts can be applied to the specific circumstances of those living in Mason County, WV. The literature featured above fueled the questions we prepared as we began our in-person ethnographic research.
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