The Data Center Debate

Arguing against

The case against data centers

Seven arguments opponents make, each with the evidence behind it, the best response from the other side, and the reply. Excerpted from the handbook, which is written as a guide for arguing a side, so the voice is 'you'.

This page presents one side as its own advocates would. The other side's response is included under every point, and the opposite page does the same in reverse. Numbers in superscript link to the source list, which says who paid for each document.

1 Regular families are paying part of the bill, and the deals are kept secret so nobody can check.

Last updated September 16, 2026 (handbook revision; no newer evidence yet). Tracks: Who pays for the grid buildout, Secret contracts and disclosure.

The claim in one line

When a data center needs new power lines and power plants built for it, somebody has to pay. A lot of that cost is landing on ordinary customers instead of on the data center. And the contracts are sealed, so the public cannot verify it.

What it means

Go back to the group dinner. The power company and the data center negotiate a private deal on how much the data center will pay. Then the power company asks the referee to keep that deal confidential, meaning the public is not allowed to see it. So when your bill goes up, you cannot check whether the big customer paid its share, because the receipt is sealed.

The evidence

Two researchers at Harvard Law School, Eliza Martin and Ari Peskoe, read through nearly fifty of these utility cases. They concluded that rules originally built to share the cost of keeping the lights on for everybody are now being used to make the public pay for equipment that exists to serve a handful of extremely rich companies. Their sharpest finding is about the secrecy: utilities routinely ask for confidential treatment, which limits public scrutiny and narrows what the referee can realistically do. In their words, the complexity of the process conceals utilities overcharging captive customers in order to funnel money to their own side businesses.16

How big is it, really

Unknowable, and that is the entire point, so be honest about both edges of it. A sealed contract is not proof of a bad deal. It is proof that nobody outside the room can check the deal, in a system where you are legally required to buy the product. Concretely: when your utility asks the referee for a rate increase, the data center's contract is in the file with the numbers blacked out. Your consumer advocate argues about a document they cannot fully read. So argue the checking, not the cheating. The moment you claim to know what is inside the sealed deal, you are guessing, and they will catch you guessing.

How this side says it

"I do not have to prove the exact dollar amount. The public is being handed a bill it is not allowed to inspect. That by itself is the problem."

Why this lands

It does not require you to win a math fight. It is an argument about fairness and transparency, and everyone understands both.

What the other side says back

"Harvard read legal paperwork and made a fairness argument. It never measured a single dollar actually moving onto anyone's bill. The one study that tried to measure it, by the consulting firm E3, found no evidence that families are subsidizing data centers."8 A smart opponent will then concede the secrecy and say the contracts should be public, to take the sting out of your point.

The reply

Their measuring study was paid for by the Data Center Coalition, the industry's own lobbying group, which reviewed it before publication. It is printed on the report's acknowledgments page. And the report's own fine print admits only a few studies exist, most show correlation rather than cause, and the risk "is not absent."8 Say: "Not finding something in a nearly empty filing cabinet is not proof it is not there." Then, if they conceded the secrecy, do not let it float away as a nice gesture. Pin it: "Then you will support a rule making every one of these contracts public, starting now?" If sealed deals were fair deals, nobody would need to seal them.

What has changed since the handbook

No dated note yet. The daily research pass writes one here when new evidence materially strengthens, weakens or changes this point.

Latest evidence tagged to this argument

Tagged automatically by the daily update from the updates feed. New evidence does not rewrite the argument above; read both and judge whether the point still stands.

Sources cited in this point: 8, 16

2 The grid's own watchdog blames data centers for billions in higher costs.

Last updated September 16, 2026 (handbook revision; no newer evidence yet). Tracks: Capacity prices and grid costs.

The claim in one line

The standby fee everyone pays to keep power plants ready went up more than ten times over. The independent referee who polices that market says data centers are the biggest reason.

What it means

Remember the babysitter retainer. Across thirteen states plus Washington, DC, there is a grid operator called PJM that runs this standby auction. Every household in that region pays into it. The price exploded because expected demand jumped while new power plants did not arrive fast enough.

The evidence

PJM has an independent watchdog, a firm called Monitoring Analytics, whose entire job is checking whether that market is run fairly. It reports to federal regulators, not to PJM's management. It found data centers responsible for $6.3 billion, or 38 percent, of $16.4 billion in charges from one recent auction, and that across the last four auctions, data center related charges came to nearly half of $63.6 billion in total.17 The standby price went from $28.92 to $329.17 and then hit its ceiling of $333.44. PJM expects peak demand to grow by 32 gigawatts by 2030, and all but 2 of those gigawatts come from data centers.18

How big is it, really

The PJM region serves about 65 million people. Spread $6.3 billion across them and it is nearly $100 per person, for one year of standby charges alone, before anyone uses a single unit of electricity. In practice it does not arrive evenly, because businesses pay a large share first and pass it along in prices, but the money all starts on that region's electric bills. On a single home's bill, the whole price spike showed up as somewhere between a few dollars and roughly $25 a month depending on the state, with New Jersey households near the top of that range.27 Small enough that many families never noticed why, large enough that it is real money, every month, with no end date announced.

How this side says it

"That is not an environmental group saying this. That is the official market watchdog, the one whose job is policing the grid operator itself. They put a number on it. $6.3 billion in a single auction."

Why this lands

The source is nearly impossible to smear. The watchdog has publicly criticized PJM itself, so it is nobody's ally.

What the other side says back

The group dinner distinction, used against you. "The watchdog counted who caused the cost, which nobody disputes. What a family actually pays depends on how the check gets split, and that is exactly what the new rules govern: at least 38 special rules for giant customers since 2018, and Virginia's new customer class that makes data centers pay their own way."8 9 They will also note the watchdog blames other things too, like old power plants retiring and the market's own design.

The reply

Timing. The auction charges are not a forecast, they already happened and already landed on bills across thirteen states: nearly half of $63.6 billion over the last four auctions.17 The rules they are bragging about came after the money moved, and the Virginia protections do not even start until January 1, 2027.9 Say: "You are describing a fix for a check that has already been paid. Who refunds the last four years?" On the other causes: agree those exist, then repeat that the watchdog still named data centers the primary reason, and it is the referee, not you, saying so.

Sources cited in this point: 8, 9, 17, 18, 27

3 The jobs do not show up, and states are paying enormous amounts for the few that do.

Last updated September 16, 2026 (handbook revision; no newer evidence yet). Tracks: Jobs, State tax breaks.

The claim in one line

These buildings are designed to run with almost nobody inside. Meanwhile states are giving away more in tax breaks than they collect back.

What it means

There is an old assumption that a big investment means a lot of jobs. It is usually true. It is not true here. The money goes into computers and cooling equipment, not payroll. So a county can host billions of dollars of construction and end up with a permanent headcount you could fit on a school bus.

The evidence: part one, the jobs

Sean O'Leary at the Ohio River Valley Institute argues data centers are capital-heavy and labor-light by design, so they create few jobs and put little money into the local community, and that the impressive investment figures simply do not translate into local benefit. His evidence is regional history: the thirty biggest gas-producing counties in Appalachian Ohio, Pennsylvania, and West Virginia posted far better than average economic growth during the fracking boom, and still lost jobs and still lost population.19 Big numbers on paper, empty storefronts in real life.

The evidence: part two, the tax giveaways

Good Jobs First tracks these deals using the states' own legally required financial disclosures, so these are governments' own books, not an advocacy group's estimates. Georgia, Texas, Virginia, and Ohio each have exemptions capable of costing more than $1 billion a year. Ohio's cost jumped from $555 million in 2024 to $1.6 billion in 2025, which works out to roughly $330 per Ohio household in a single year. Indiana gave up $655 million, with more than 83 percent of it going to a single company, Amazon. Texas gave up $1 billion in one year. Oregon handed $616 million in property tax breaks to facilities owned by Amazon, Apple, Alphabet, and Meta. And states that actually measured the return found they lose between 52 and 70 cents on every dollar they give away. Fourteen states with these exemptions publish no annual total at all.20

What that 52 to 70 cents actually measures, because this is where the honest fight is

The natural objection is: "Sure, the state skipped the sales tax, but now there is a building paying property tax that paid nothing before, plus income tax from workers. Doesn't the math flip after a few years?" Virginia ran exactly that experiment. Its watchdog added up a full decade, 2014 through 2023, of everything the state got back because the buildings existed: income taxes from the workers, corporate taxes, sales tax on everything not exempted, all of it. The answer was 48 cents returned for every dollar given up.22 Ten years in, the flip has not come, and here is the reason it does not come with time: the exemption is not a one-time discount on building the place. It covers the computers, and data centers replace their computers roughly every three to five years. Every refresh is a new tax-free purchase, forever, for as long as the building runs. The giveaway renews itself on the same schedule the benefit does.

Now the part of the objection that is genuinely right: the property tax is real, and it goes to a different pocket. The sales tax exemption is the state's loss. The property tax windfall belongs to the county, which is exactly why Loudoun County can cut its tax rate ten years running while Virginia as a state gets back 48 cents on the dollar. Both things are true at once. When you argue this point, say which pocket you are talking about, because your opponent will happily switch pockets mid-sentence.

And the last piece, the "without the exemption there would be no building at all" argument: that is only true if the tax break is what won the building. The best pro-side study found the incentives are just 2 percent of the money behind the big company-owned facilities.21 Those companies pick sites for power, land, and fiber. For them, the exemption is a bonus on a decision already made, and a bonus for a decision already made is pure loss.

The evidence: part three, and this is your best shot

Use their own study. The strongest pro-data-center employment research, by two economists at Brookings, found that tax incentives make up only 2 percent of the investment in the giant company-owned facilities, but 62 percent of the investment in the rental facilities.21 Translated: the buildings that produce the better jobs barely need the subsidy, and the subsidy is flowing overwhelmingly to the ones that produce fewer.

How this side says it

"Virginia measured a full decade of this and got back 48 cents on the dollar. That is not my estimate, that is the state's own audit. And the industry's own best jobs study says the subsidy flows hardest to the buildings that create the fewest jobs."

What the other side says back

They will not claim thousands of jobs, the good ones know better. Expect four moves. First, the honest numbers: the Brookings study found computing employment up 56 percent, roughly 100 to 200 permanent jobs per county, and home values up 2 to 5 percent.6 Second, the pivot to construction: electricians' union hours doubled to 28 million a year, 600 new apprentices in one year, and it is unions saying so, not companies.7 Third, your own 48-cent figure turned around: the same Virginia audit found that 48 cents is nearly three times better than the 17-cent average return of the state's other sales tax exemptions, and a 2026 state incentive evaluation ranked the data center break Virginia's second-best incentive, producing $6.10 of labor income for every exempted dollar.22 28 Fourth, the multiplier: "the industry supports 5.5 million American jobs, because every direct job supports 4.5 more in the supply chain."31 Fifth, their smartest move: they may simply agree to cap or kill the tax breaks, splitting the subsidy question away from the industry entirely.

The reply

On "best of a bad bunch": being the least money-losing giveaway is still losing money, and 48 cents back is a failing grade on any test. On the $6.10 of labor income: ask what share of that is construction-phase wages that end when the building is finished, because that number counts the wave, not what stays. On the 5.5 million supported jobs: that study was paid for by the industry's lobbying group and produced by economic modeling, not measurement. The study that measured, county by county, found 100 to 200 jobs and flat wages.6 Say: "One of these numbers came out of a model the industry paid for. The other one came out of counting. I will take the counting." If they offer to give up the tax breaks, take the win and make it stick: "Say that on the record. Cap the exemptions." That concession is most of what your side is actually asking for.

The trap question inside this exchange, be ready for it

"If the deal loses money, why do more than thirty states keep making it? They must see an upside you are not counting." Do not dodge it, because there is a real answer, and it has three parts. One, the 48 cents counts only the state treasury, and the people signing these deals are buying things the treasury number does not count: the ribbon cutting, the announcement with a tech giant's logo on it, construction jobs they can point to, and property tax that flows to their counties even when the state's own books lose. The benefit is visible and concentrated. The cost is invisible, forgone revenue never shows up as a line item, and fourteen states do not even publish the total.20 Two, most states never actually decided to spend this much. The exemptions were written years ago, when data centers were small, with no caps and no annual vote. Then AI arrived and the cost exploded on autopilot: Ohio nearly tripled in a single year, from $555 million to $1.6 billion, without any legislature voting to spend $1.6 billion.20 Three, it is a bidding war. Each state matches its neighbors because losing the building feels worse than losing the money, even when the math says otherwise. That is not evidence the deal is good. It is the reason the fix has to be caps and disclosure rather than trusting each state to stop on its own. Say: "They see an upside, sure: an announcement. The audit that came later is the part they were not counting."

On the home values line, size it honestly

the Brookings 2 to 5 percent is the extra rise, above what near-identical counties saw, spread across the first decade of operation.6 On a typical house that is a couple of thousand dollars a year of added price, real but modest. Use it as a footnote to the sharper finding, which is that wages did not rise at all: the building made housing a little more expensive without making paychecks any bigger. Do not lead with it, and do not let it get inflated into "data centers priced out the neighborhood," because the study will not support that.

What has changed since the handbook

No dated note yet. The daily research pass writes one here when new evidence materially strengthens, weakens or changes this point.

Latest evidence tagged to this argument

Tagged automatically by the daily update from the updates feed. New evidence does not rewrite the argument above; read both and judge whether the point still stands.

Sources cited in this point: 6, 7, 19, 20, 21, 22, 28, 31

4 Virginia studied this honestly, and the permanent half of the verdict is bad.

Last updated September 16, 2026 (handbook revision; no newer evidence yet). Tracks: How much electricity data centers use, Jobs.

The claim in one line

The state with more data centers than anywhere on earth had its own nonpartisan investigators look. They found real benefits that mostly end when construction ends, and permanent costs that do not end.

What it means

Construction work is genuinely good work and there is a lot of it. But it stops. The power demand does not stop. So the real question is whether you are trading a temporary boom for a permanent obligation.

The evidence

Virginia's JLARC credited data centers with 74,000 jobs, $5.5 billion in wages, and $9.1 billion in economic activity per year, and stated that those benefits come mostly during initial construction. It then found their power demand will likely increase costs for all customers, including people with nothing to do with data centers, and that if demand grows unchecked, Virginia's electricity needs would double within ten years, with data centers as the main driver. To supply that, the state would have to add new solar power at twice the rate it managed in 2024, and more new wind power than every offshore site it has secured could produce.22

How big is it, really

Doubling electricity needs in ten years means building, in one decade, a second copy of the generating capacity that it took Virginia the better part of a century to build the first time. And the yardsticks in the study are not abstractions: twice the solar the state managed in its best year ever, every single year, plus more offshore wind than every site Virginia has secured put together. Not impossible. But nobody has ever done it, and if it falls short, the shortfall gets managed with higher prices, which land on everyone.

How this side says it

"Virginia's own legislature looked at this. A construction boom that ends, in exchange for a power bill that does not. That is the trade."

A caution for this side

Quote the good half out loud first. Saying "74,000 jobs, and here is the rest of the finding" makes the rest land far harder than hiding it would.

What the other side says back

"The same study you are quoting found 74,000 jobs, $5.5 billion in wages, and $9.1 billion a year. Do you accept the whole finding or only your half? And construction here is not one event. It is a decade-long rolling pipeline, which is exactly why union hours doubled over ten years instead of spiking once and collapsing."7 22

The reply

You already quoted their half first, so the trap does not close on you. Then answer the pipeline: a rolling pipeline is still temporary, it rolls until the buildout stops, and then it stops. What does not stop is the other half of the finding: electricity demand that would double the state's needs within ten years, with data centers as the main driver, and costs that land on every customer.22 Say: "You have described a wave. I am talking about what the wave leaves behind."

What has changed since the handbook

No dated note yet. The daily research pass writes one here when new evidence materially strengthens, weakens or changes this point.

Latest evidence tagged to this argument

Tagged automatically by the daily update from the updates feed. New evidence does not rewrite the argument above; read both and judge whether the point still stands.

Sources cited in this point: 7, 22

5 The water use is real and largely hidden, and the pollution lands on the same neighborhoods it always does.

Last updated September 16, 2026 (handbook revision; no newer evidence yet). Tracks: Air quality and on-site power, Water use.

The claim in one line

Many data centers cool themselves by evaporating clean drinking water, like sweating. That water does not come back. And the power plants built to run them get put next to poor neighborhoods.

What it means: on water

Computers get extremely hot. A common way to cool them is to evaporate water, which carries the heat away. That water goes into the air, not back into the local river or aquifer. There is also a second, invisible amount: making the electricity uses water too, at a power plant somewhere else. Companies often report only the water used at the building, which makes the number look far smaller than the real total.

The evidence

Researchers led by Shaolei Ren at the University of California, Riverside, published in a leading computer science journal that training one AI model in Microsoft's U.S. facilities could directly evaporate on the order of 700,000 liters of clean freshwater, and projected global AI water use at 4.2 to 6.6 billion cubic meters by 2027, more than several European countries withdraw in a year.23 Ren has separately argued that company disclosures mislead precisely by counting only the water at the building.

How big is it, really

700,000 liters is about 185,000 gallons, roughly what a typical American family runs through in a year and a half, for every faucet, shower, load of laundry, and sprinkler, evaporated to train one model one time. Be honest about the other end of the scale too: any single AI question costs a sip, and your opponent will say so. The argument was never about one glass. It is that the industry is pouring billions of glasses, in specific places, some of which were short on water before it arrived.

What it means: on air

Some operators are not waiting for the grid. They install their own gas-burning turbines on site, because it is faster. Turbines emit pollution that causes smog and breathing problems. Where they get placed is the issue.

The evidence

In South Memphis, the company xAI put gas turbines next to Boxtown, a mostly Black neighborhood already surrounded by industrial polluters, in a county that already fails the federal health standard for smog and that the American Lung Association graded F for ozone. The turbines emit nitrogen oxides and formaldehyde. The Southern Environmental Law Center appealed the air permit on behalf of the local NAACP chapter and a group called Young, Gifted and Green. Hundreds of residents attended the public hearing, and every single person who spoke opposed it. The permit was issued anyway. The NAACP later sued over illegal pollution and asked a court for emergency action, and reporting in 2026 documented 59 turbines running without permits at a second site nearby.24

How this side says it

"Hundreds of people showed up. Not one spoke in favor. The permit was issued anyway, in a neighborhood that already fails the federal air standard. That is not a coincidence. That is a pattern."

What the other side says back

On water, the direction of travel: "Microsoft cut data center water use roughly 90 percent from its earliest buildings, put back more freshwater than it took in 2025, and its newest designs use no water at all for cooling. Google has committed to the same by 2030."14 On Memphis: "That is one company at one site behaving badly. It is exactly what siting standards are for." A shrewd opponent will even offer to accept siting restrictions in water-stressed regions, to look reasonable.

The reply

On water, name whose numbers those are: the company's own, self-reported, unaudited. The peer-reviewed research exists precisely because company disclosures count only the water used at the building and leave out the water used making the electricity, which makes the total look far smaller than it is.23 And the newest designs do not retrofit the hundreds of buildings already running. On Memphis, accept their "siting standards" answer and then spring it: standards existed, hundreds of residents spoke, not one in favor, and the permit was issued anyway.24 Ask: "The standard was on paper. It did not bind. Tell me exactly what would have stopped this, and I will ask why the industry is not demanding it."

What has changed since the handbook

No dated note yet. The daily research pass writes one here when new evidence materially strengthens, weakens or changes this point.

Latest evidence tagged to this argument

Tagged automatically by the daily update from the updates feed. New evidence does not rewrite the argument above; read both and judge whether the point still stands.

Sources cited in this point: 14, 23, 24

6 Communities across the country are saying no, and the industry's own tracker proves it.

Last updated September 16, 2026 (handbook revision; no newer evidence yet). Tracks: Local opposition and consent, Siting, zoning and standards.

The claim in one line

Opposition is not a few cranks. It is enormous, it is growing fast, it crosses both parties, and the people counting it work for the AI industry.

What it means

This is an argument about consent. The benefits get argued at the state and national level. The costs, meaning the noise, the traffic, the water, the power bill, get experienced by the people who live next to it, and they generally were not asked.

The evidence

A tracker called Data Center Watch counts blocked and delayed projects. It is run by a firm whose clients are AI companies, so it has every reason to make opposition look small. These are their numbers. $64 billion in projects blocked or delayed through 2025. Then in the first three months of 2026 alone, about 75 projects worth roughly $130 billion, matching the entire previous year in a single quarter. They describe it as a structural change rather than a blip: communities have learned from each other, opposition groups more than doubled across 49 states, and fourteen state legislatures took up pause proposals in three months.25 In March 2026, Senator Bernie Sanders and Representative Alexandria Ocasio-Cortez introduced a bill for a national pause.26

How big is it, really

A large data center campus runs one to several billion dollars, so $130 billion in one quarter is on the order of fifty to a hundred large projects turned away or stalled in three months, by zoning boards and county meetings, which are the smallest and slowest levers in American government. Be precise about what the dollars measure, though: that is the price tag of investment that did not land, which the pro side counts as the communities' loss, not their savings. So use the number for what it honestly shows: the size and speed of the revolt, not money anyone banked.

And know the denominator, because they will

In the very same record quarter for blocking, the industry also set its all-time record for building: $44.7 billion of actual construction spending in Q1 2026 alone, with full-year investment forecast near $700 billion.29 So do not claim communities are winning, they are not, most projects still go through. The claim that survives is different and still strong: market analysts now estimate 30 to 50 percent of the 2026 pipeline is on track to be delayed or canceled,29 which means local consent has become one of the largest business risks this industry faces. You are not describing a movement that is stopping the buildout. You are describing a movement big enough that the buildout's own analysts now price it in.

How this side says it

"This tracker is funded by a firm that works for AI companies. They have every reason to undercount. And even their numbers say $130 billion of projects got blocked or stalled in three months."

What the other side says back

Full concession, then a reframe: "You are right that opposition is real. Now look at what people actually object to: power bills, water, noise, traffic, property values. Every one of those is a siting and standards problem with a known fix. Opposition to a badly placed project is not opposition to the industry."

The reply

Scale breaks that story. One badly placed project is a siting problem. $130 billion stalled in a single quarter, opposition groups more than doubling across 49 states, and fourteen legislatures moving pause bills in three months is the same set of complaints showing up everywhere the buildings show up.25 If they answer with the denominator, "more got built than blocked, spending set a record that same quarter," concede it straight, because it is true, and then land on the number that survives: analysts put 30 to 50 percent of this year's pipeline on track for delay or cancellation.29 A risk that size is not a few cranks at a zoning meeting, it is a line item. Then take their own fix and hand it back as a demand: "If the fixes are known, why is the industry not writing them into its contracts before anyone forces it? Make them binding. The day they are binding, most of this opposition, including mine, goes quiet."

What has changed since the handbook

No dated note yet. The daily research pass writes one here when new evidence materially strengthens, weakens or changes this point.

Latest evidence tagged to this argument

Tagged automatically by the daily update from the updates feed. New evidence does not rewrite the argument above; read both and judge whether the point still stands.

Sources cited in this point: 25, 26, 29

7 They are enormous, they hum all night, and they change what a place is.

Last updated September 16, 2026 (handbook revision; no newer evidence yet). Tracks: Noise, appearance and rural character, Siting, zoning and standards.

The claim in one line

A data center is a windowless box the size of several football fields, ringed by fences and lights, with hundreds of rooftop fans running around the clock. Put one next to homes and the neighbors do not get a factory's jobs; they get a factory's noise and a factory's silhouette, permanently.

What it means

The complaints that fill county meetings are rarely about terawatt-hours. They are about a hum that comes through closed windows, a skyline of gray walls where a farm used to be, and the sense that a town made a decision nobody who lives there was asked about. Those are real harms even though nobody can put them on a utility bill.

The evidence: part one, the noise

In the Great Oak neighborhood south of Manassas, Virginia, an Amazon data center went up next to homes. Residents measured up to 65 decibels at night and described it as "like being on a tarmac with an airplane engine running constantly," except that the plane never leaves. One neighbor replaced every window in his house and it did not help.32 After two years of pressure, Amazon replaced all 424 rooftop exhaust tubes with taller ones, cutting the noise by about 10 decibels, roughly half as loud, to around 50 decibels.33 Then the county wrote a new noise ordinance, 52 decibels in the daytime and 47 at night, about the level of moderate rainfall. Testing showed the Amazon complex still would not comply, that the low-frequency roar residents feel inside their houses is not regulated by the old rule or the new one, and that emergency diesel generators are not covered by either.34 Next door in Loudoun County, the county's own website says noise complaints "are among the most persistent issues brought forward to Loudoun County officials," admits it has no rule at all for tonal or low-frequency noise, and does not expect one until 2027.35 This is not new. Chandler, Arizona residents began complaining about a million-square-foot data center in 2014 and the city did not adopt an ordinance until 2023.36

The evidence: part two, the scale and the setting

The Prince William Digital Gateway was 37 data center buildings, "roughly the equivalent of 144 Walmart Supercenters," with 14 electrical substations, planned on the edge of Manassas National Battlefield Park. County planning staff recommended denial twice, in part because without drawings of the actual buildings nobody could trust the studies of what they would look like from the battlefield. The Virginia Court of Appeals voided the rezoning in March 2026 and the developer dropped its appeal that July.37 In North Carolina, the Forsyth County planning board recommended denying a hyperscale project in Rural Hall in June 2026 after residents argued it would end the area's rural character, and Stokes County residents sued over a zoning change that opened a dozen rural sites to data centers.38

How big is it, really

A decibel scale is logarithmic, so the numbers understate it. The 65 decibels measured at Great Oak is a vacuum cleaner in the next room, all night, every night. Even after Amazon's fix, 50 decibels is a refrigerator that never cycles off. And the buildings do not go away: a data center is a thirty to fifty year land use, so the question is not whether the hum is tolerable this year but whether the next owner of every house nearby gets asked.

How this side says it

"You are describing megawatts. The people who live there are describing a hum they cannot turn off and a wall where their view used to be. Both are real. Only one of them is in your spreadsheet."

Why this lands

It is the argument that actually wins zoning votes. Power bills and water get argued at the state capitol; noise, lights and character get argued at the microphone in the county boardroom, by people who can point out the window.

What the other side says back

"Every one of those complaints has an engineering answer, and the answers are being written into law right now. Amazon cut the noise in half once it was made to. Chandler's ordinance has required a sound study, mitigation and generator testing windows since 2023. Loudoun ended by-right data centers in March 2025 and is writing design and compatibility standards. Prince William is adopting a rainfall-level noise limit. And the one measured study of home values found they went up 2 to 5 percent near data centers, not down."33 36 39 6

The reply

Concede the fixes, then point at the dates. Great Oak's neighbors waited two years for a fix that still fails the county's own new standard, Loudoun says it will not have a low-frequency rule until 2027, and Chandler took nine years.34 35 36 Every fix arrived after the building did, and the building does not move. Say: "You are right that the standards exist. Now tell me why the industry keeps building before they do." On home values, do not fight the number; narrow it. A county-wide average rising 2 to 5 percent says nothing about the twenty houses on the fence line, which is where the noise lives.6

What has changed since the handbook

No dated note yet. The daily research pass writes one here when new evidence materially strengthens, weakens or changes this point.

Latest evidence tagged to this argument

Tagged automatically by the daily update from the updates feed. New evidence does not rewrite the argument above; read both and judge whether the point still stands.

Sources cited in this point: 6, 32, 33, 34, 35, 36, 37, 38, 39

Answering the other side's opening points

The counters above cover what they say when you attack. This section is for when they are on offense with their own affirmative points. Each of their six points in Part 4 ends with a "what they will say back" block. That block is you. Those are your lines. Read Part 4 the same way they will read Part 3, and you have both halves of every exchange. Two of their openers deserve special drilling because they come up in nearly every debate:

Their Loudoun County opener (taxes down ten years running): your answer is under their Point 2. The short version: do not fight the numbers, fight the concentration. 39 percent of a county budget on one industry is a household living on one paycheck.

Their "efficiency fixed this before" opener: your answer is under their Point 6. The short version: that research covers 2010 to 2018, the one-time savings of consolidating server closets are spent, and the same authors now publish the projections showing steep growth.1 13 You can only empty the closets once.

Questions this side asks the other

  1. "Your rate study was paid for, and reviewed before publication, by the industry's lobbying group. Is there an independent study that reached the same conclusion?"8
  2. "Virginia's protections start in 2027. How much got connected before that date, and under what terms?"9
  3. "You say data centers will ease off during peak hours. Will you support making that a binding requirement instead of voluntary?"11
  4. "The grid's own independent watchdog says data centers drove $6.3 billion in one auction. Is the watchdog wrong?"17
  5. "If these are as profitable as you say, why do they need a tax exemption that costs Ohio $1.6 billion a year?"20
  6. "What share of a county's budget depending on one industry would you consider too risky? Is 39 percent fine?"4

Where this side is weak, in its own words

Every honest case has soft spots. These are the places this side's own handbook warns not to overclaim.

  • Do not say data centers are the main reason electricity prices are rising nationally. They are not, and you will get fact-checked. Natural gas price swings, old power plants retiring, grid upgrades, wildfire protection, and equipment costs are all major drivers.8 10 Say data centers are a large and fast-growing driver. That is true and defensible.
  • Do not dispute the Loudoun County tax numbers. They come from public budget documents anyone can pull.4 Attack the concentration risk and the lack of consent instead.
  • Do not use "$2 million per job" as a current figure. It comes from an older analysis of the very biggest deals. Use it as a sense of scale and lead with the state-by-state revenue losses instead.20
  • Your best jobs evidence is your opponent's own study. Quote it accurately, including the 56 percent rise in tech employment it found, or you will be caught cherry-picking and lose the exchange.21
  • Memphis is one company at one site. Do not claim it is what every operator does. Use it as proof of what happens when nothing constrains siting.24
  • The Virginia study also found large benefits.22 Say them out loud first. It costs you nothing and makes you credible.
  • On noise and looks, do not claim the buildings are unfixable. Amazon cut Great Oak's noise in half once made to, and Chandler's rules have worked since 2023.33 36 Argue timing and enforcement: the fixes arrive after the building does.
  • Do not argue for a national construction ban.26 It is the maximum possible ask, it is not going to pass, and defending it makes you easy to dismiss. Argue for the specific tools instead: mandatory flexibility, public contracts, caps on tax breaks, and real siting standards. Those are much harder to argue against.
Now read the case for Get the full handbook