Many claims are made about data centers and why we need them.
This page looks at talking points that come up often in the debate over data center development in West Virginia, from supporters and opponents alike. For each one, we note note was in accurate and attempt to clarify any misconceptions.
Clarifying common talking points
"If you use technology and the internet but oppose data centers, you are a hypocrite."
What is accurate
Nearly everything people do online, from banking and streaming to telehealth and email, runs through data centers. That demand is real, and anyone who uses these services relies on that infrastructure.
What the record adds
Most local debate is not about whether data centers should exist. It is about which
kind is proposed, at what scale, in what location, with what conditions and accountability
measures, and who bears the costs. Data centers range from a server room to campuses drawing
hundreds of
megawatts, and these differ greatly in their effects on surrounding communities and ecosystems.
Relying
on a service does not settle the question of where or how the infrastructure behind it should be built.
The "hypocrite" framing implies that there is only one binary which is no data centers or data centers, when
a majority of people simply want to know their homes will be okay, and that they will have clean water. Much
of the growth now is uncertain and their is no clear path for the future.
"Data centers are inevitable, so we should accept them."
What is accurate
Demand for data center capacity is growing quickly. Lawrence Berkeley National Laboratory estimates that U.S. data centers used 4.7% of the nation's electricity in 2024 and projects 9.5% to 15.3% by 2030.
What the record adds
Most of that growth comes from AI. Berkeley Lab finds that rising electricity use is driven primarily by growth in both the number and the power of AI servers shipped each year. In its central projection, AI servers account for 84% of all server energy and 55% of total U.S. data center electricity by 2030. The question of whether this growth is inevitable is therefore largely a question about AI.
Researchers and policymakers have argued that deployment of the technology these facilities are built to power is outpacing the study of its consequences, and some warn about risks that would be difficult to reverse once systems are widely in use. The United States has no comprehensive federal law governing how AI is developed or used, and questions about privacy, bias, labor, misuse, and accountability remain unsettled. While AI has the potential to offer significant benefits to society, it could also cause significant harm -- and that balance is matter of human choice.
Inevitability implies technology is an entity that evolves independent of human choice. In practice, it's growth is determinted by the companies making design, development, and investment decisions, and by the public policies that govern them. This position implies is implying that every data center proposed at every site has is required to be brute-forced without meaningful say from the community. It also ignores the possibility of shifts in technology usage, like when software and hardware become more efficient overtime and require less space and energy usage.
With regard to data centers, people across the country are fighting against the enchroachment of these massive facilities in their communities and lawmakers are responding to the concerns of their constitutients. There are over 800 advocacy groups in 49 states, and according to a March 2026 Gallop Poll, 71% of Americans are opposed to AI data center construction in their community. This opposition crosses political lines with a majority of all Democrats, Independents, and Republicans polled either somewhat or strongly opposed.
Governments at every level are acting on these concerns. Local governments have adopted moratoriums to pause development while they write rules, and others have adopted ordinances addressing setbacks, noise, water withdrawals, and decommissioning. About 30 state legislatures have introduced or adopted rules on data center siting, electricity, and water use. These choices will determine whether data center development proceeds responsibly and sustainably, or whether decisions are made without adequate foresight into potential harms.
Source: Berkeley Lab, United States Data Center Energy Usage Report: 2025 Update (2026)
"Data center companies contribute to the surrounding community."
What is accurate
Data centers pay property taxes, and some developers make additional commitments such as local donations, infrastructure improvements, support for fire departments and schools, or training programs. Some follow through on these commitments, and the tax revenue a large facility generates can be substantial.
What the record adds
Commitments made in press releases and flyers are good-faith statements, not obligations. What makes a commitment enforceable is a community benefit agreement: a negotiated, binding contract between a developer and the host community, signed before approval. Elsewhere, these agreements typically cover local hiring targets, water and noise limits stricter than permit minimums, funding for schools and emergency services, road maintenance, independent monitoring, decommissioning bonds, and penalties if commitments are not met.
Community benefit agreements get signed because the community holds something the developer needs, such as a rezoning, a variance, or another discretionary approval. HB 2014 removed that leverage for certified projects. It exempts them from county zoning, land use, and permitting ordinances, and certification is based on meeting the law's definition of a high-impact data center, not on any community commitments. There is no point in the process where a county can say "yes, if." That is not a failure of local officials; it is how the statute is built.
HB 2014 also changes who receives the tax revenue. For certified projects, 50% goes to the state's personal income tax reduction fund, 30% to the host county, and 10% is split among the remaining counties by population, with the rest directed to other state funds. Without HB 2014, most of that revenue would have stayed with the host county, which also bears the local costs of roads, emergency response, and other services.
Source: West Virginia Watch, on HB 2014 as signed (April 30, 2025)
Source: Weirton Daily Times, on HB 2014's local preemption (April 2025)
"Data center growth is driven by everyday consumer use."
What is accurate
Consumer services such as streaming, social media, and cloud storage are a long- standing source of data center demand, and consumers increasingly use AI tools directly.
What the record adds
Berkeley Lab attributes most recent and projected growth to servers built for AI. In its central projection, AI servers account for 55% of all U.S. data center electricity by 2030, and most of that AI power goes to running models for users (inference) rather than training them. Public data does not break this demand down by who the end user is, whether consumers, businesses, or government, so the share driven by each cannot be stated with confidence.
Source: Berkeley Lab, 2025 Update (2026), Sections 3.4.3 and 3.6
"Data centers use little water, especially with closed-loop cooling."
What is accurate
Closed-loop systems can sharply reduce the water a data center consumes on site. In a closed loop, a liquid coolant circulates through sealed pipes, often directly to plates on the chips, absorbs their heat, and returns to be cooled and reused. The coolant itself is not consumed, apart from an initial fill and occasional top-ups. Nationally, Berkeley Lab estimates that U.S. data centers consumed about 17 billion gallons of water on site in 2023.
What the record adds
"Closed loop" describes the inside of the system. The heat still has to leave the building, and how it leaves determines how much water is consumed:
- Dry coolers release heat to the air through radiators and fans. They consume almost no water but use more electricity, especially in hot weather.
- Cooling towers release heat by evaporating water. They use less electricity, but the evaporated water is consumed.
- Hybrid or adiabatic systems run dry most of the time and spray water only on hot days, so their consumption depends heavily on climate.
Water consumption also depends on local temperatures, how many hours a year a system relies on evaporation, and the quality of the water supply, which affects how often water must be flushed and replaced.
The tradeoff is between water and energy. Saving water on site usually means using more electricity, and generating electricity consumes water too. Berkeley Lab estimates that in 2023, the power plants supplying U.S. data centers consumed about 211 billion gallons, roughly 12 times what data centers consumed on site. Dividing both by the 176 terawatt-hours data centers used that year gives national averages of about 0.1 gallons consumed on site and 1.2 gallons consumed at power plants for every kilowatt-hour.
At those averages, a cooling design that eliminated on-site water use entirely but raised a facility's electricity use by about 8% would add roughly as much water at the power plant as it saved on site. Whether the trade is worthwhile depends on the power supply: electricity from wind and solar consumes little water, while electricity from coal and gas plants with cooling towers consumes more than the national average. Efficiency gains still matter. Berkeley Lab attributes part of the improvement in national data center efficiency, from a power usage effectiveness of 1.55 in 2018 to 1.45 in 2024, to the shift toward liquid-cooled facilities for AI servers, which averaged about 1.145.
Finally, water effects are local. A national total that is small compared with agriculture or power generation says little about what a single large facility means for a particular aquifer or stream, especially during drought.
Source: Berkeley Lab, 2024 United States Data Center Energy Usage Report
"We need more data centers if we want to keep using the internet."
What is accurate
Online services depend on data centers, and as those services grow, so does the need for computing capacity.
What the record adds
The current build-out is driven mainly by AI, not by conventional internet services. In Berkeley Lab's analysis, growth in U.S. data center electricity comes primarily from the number and power of AI servers shipped each year. Hardware does become more efficient with each generation, but the report finds that growth in computing demand has more than offset those gains. Whether facilities on the scale now proposed are needed to maintain everyday internet use is a different question from whether they are needed for AI expansion.
"Data centers are a matter of national security and the AI race with China."
What is accurate
AI capability is widely treated as a matter of economic and national security, and computing capacity is a large part of it. West Virginia officials have framed HB 2014 in these terms; Governor Morrisey said it would help the country compete with China in the technology race.
Source: West Virginia Watch, on the signing of HB 2014 (April 30, 2025)
What the record adds
Where the two countries stand. The United States holds a large lead in AI computing capacity. As of May 2025, Epoch AI estimated that the U.S. hosted about three-quarters of the world's AI supercomputer performance, with China second at about 15%. The U.S. also leads in private investment ($109.1 billion in 2024, compared with $9.3 billion in China) and produced 40 notable AI models in 2024 to China's 15. The quality gap has narrowed sharply, however. Stanford's AI Index found that performance differences between leading U.S. and Chinese models on major benchmarks shrank from double digits in 2023 to near parity in 2024. China also leads in AI publications and patents.
Constraints on the U.S. build-out. Berkeley Lab's estimates imply that U.S. data centers will need about 148 gigawatts of grid connection capacity by 2030, an increase of about 17 gigawatts a year. The report identifies grid capacity, supply chains, workforce availability, and water resources as factors that may limit growth. The most advanced chips also depend on a small number of overseas manufacturers.
Export controls. Beginning in 2022, the Biden administration restricted sales of advanced AI chips to China, citing national security. The Trump administration banned sales of Nvidia's H20, a chip designed to comply with those rules, in April 2025, then allowed them in August in exchange for 15% of the revenue. In December 2025, it went further, permitting sales of the more powerful H200, which had been blocked under Biden-era rules, to approved Chinese customers in exchange for 25% of the revenue. Nvidia's newest chips remain restricted. Supporters called the policy a balanced compromise; critics, including former national security officials and members of Congress, said it would help Chinese firms close the gap with U.S. models.
National security arguments apply to AI capacity in general, not to any particular site. How the U.S. builds that capacity, and what it allows competitors to buy, bear on the outcome as much as how much it builds.
Source: Epoch AI, AI supercomputer performance share by country (May 2025)
Source: Stanford HAI, AI Index 2025
Source: Berkeley Lab, 2025 Update (2026), Section 2 and Conclusion
"These projects will bring good-paying, permanent jobs."
What is accurate
Data centers create construction jobs during the build and a smaller number of permanent, often well-paid positions. The Bedington Project announcement estimates more than 1,000 temporary construction jobs and more than 125 permanent jobs, and the developer's flyer lists pay of $90,000 to $110,000 for those positions.
Source: Office of the Governor, Bedington Project announcement (February 26, 2026)
What the record adds
Job numbers are estimates, and it helps to know what kind of estimate you are hearing. Announcement figures usually come from the developer, sometimes from economic impact models that add "indirect" jobs (at suppliers) and "induced" jobs (from local spending) to the people working at the facility. A widely cited U.S. Chamber of Commerce study, for example, found that a typical large data center employs 1,688 local workers during construction and supports 157 local jobs a year once running, but that 157 includes jobs along the supply chain, not only staff at the facility. It is fair to ask which kind of job is being counted, and over how many years.
What kinds of jobs. During construction, these are skilled trades such as electricians and pipefitters, often specialized crews that travel between projects. Construction jobs are temporary and spread across the build. Once a facility is running, permanent jobs include facility technicians, electrical and mechanical maintenance, security, and operations staff. Staffing does not scale with size: a facility drawing ten times the power does not employ ten times the people.
Is any of it binding? HB 2014 certification is based on a facility's power capacity, not on job commitments. Without a community benefit agreement, nothing requires a developer to meet its job estimates or to hire local residents, and no West Virginia project has one. At a Martinsburg Chamber of Commerce event in May 2026, the economic development director of Loudoun County, Virginia, home to one of the largest concentrations of data centers in the world, said data centers did not create a large number of jobs there; the benefit was tax revenue. Loudoun controls its own zoning and keeps its own tax revenue, the two things HB 2014 changes here.
The questions that matter are: how many permanent jobs, what share go to local residents, at what wages, and is any of it in writing?
"Residents voted against zoning, so they chose this."
What is accurate
West Virginia law allows counties to put a zoning ordinance to voters, and voters can reject it. Where countywide zoning has not been adopted, land use controls are more limited.
Source: W. Va. Code § 8A-7-7, election on a zoning ordinance
What the record adds
For projects certified under HB 2014, local zoning would not apply either way. The law exempts certified microgrid districts and high-impact data center projects from county and municipal zoning, land use, noise, lighting, and permitting ordinances, and bars counties from enacting rules that would limit them. A county's past vote on zoning therefore does not determine whether it could regulate a certified project today. Jefferson County, which has zoning, is subject to the same exemption.
Source: Weirton Daily Times, on HB 2014's local preemption (April 2025)
"The opposition to data centers is funded by China."
What is accurate
The claim has been made publicly. In June 2026, Republicans on the House Energy and Commerce Committee said there was "strong evidence" that foreign influence linked to China was contributing to data center opposition, citing a think tank report that described Chinese state media and some advocacy groups as part of a broader ecosystem opposing AI infrastructure.
What the record adds
Reporting by NPR found little direct evidence that local opposition groups are funded by China, and the groups named have denied it. Opposition is also widespread: a Gallup poll found that 71% of Americans somewhat or strongly opposed building data centers in their own communities. We are not aware of any evidence of foreign funding for opposition in the Eastern Panhandle.
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