In April 2026, Monterey Park became the first city in the United States to ban data centers. Voters approved the measure by a wide margin, following a campaign led by residents who had spent months pressing city officials, circulating petitions, and turning out to public meetings. City officials had previously welcomed a sprawling data center project, along with the jobs and tax revenue it promised. Then the opposition materialized, and the project died.
"It put us on the maps of other small cities looking to ban data centers," said Steven Kung, one of the group's lead organizers. Messages arrived from the San Gabriel Valley, from Ohio, from Montana. Nearly a dozen communities asked the same question: How did you do it? Hrag Balian, another organizer, put it more directly: "We've kind of awakened the beast".
Monterey Park was the first city to take this step. Others are likely to follow.
The Numbers Behind the Revolt
The backlash against data centers has scaled from a zoning dispute to a national political force in less than eighteen months.
Grassroots groups blocked or delayed 75 data center projects in the first quarter of 2026 alone, worth a combined $130 billion, according to Data Center Watch. The number of active campaign groups more than doubled, with organized opposition now documented across 42 states. Between June 2 and July 29, 2026, U.S. communities enacted at least 42 local data center bans — more than six per week, according to Iceotope.
In September, roughly 100 protesters gathered outside Philadelphia City Hall demanding a moratorium. A week later, about 200 people filled the Missouri Capitol rotunda in Jefferson City with the same demand. The Missouri rally coincided with the legislature's annual veto session, but the House hearing on data centers was cancelled. Lawmakers have yet to pass anything.
The opposition is not confined to one political faction. A conservative group staged a "Nationwide Day of Protest against the unchecked and unwanted expansion of AI data centers." When climate activists and the populist right are angry about the same build-out, it becomes a national political issue rather than a local zoning dispute.
Gallup polling found that 70 percent of Americans oppose a data center in their community.
What the Protests Are About
The complaints are concrete.
In Nevada, NV Energy projected that data centers accounted for just 5 percent of its total power sales in 2025. By 2046, they are projected to account for 64 percent. The utility will need to more than double its current electricity load over the next two decades. Sierra Club director Olivia Tanager told a local news station that the cost of that build-out was being "passed on to them in utility bills".
In Ohio, a brick factory saw its monthly electricity bill jump from just over $1,600 to more than $12,000. PJM, the regional grid operator serving Ohio and much of the industrial Midwest, has made clear that all ratepayers will face higher costs unless data centers are placed in a separate rate class.
In Texas, the governor's office directed the state water board in September to penalize data centers that fail to report their water usage. State officials have said that many data centers failed to respond to the annual water survey. "Data centers must share the duty to protect Texas water," Governor Greg Abbott said. "The Texas Water Code requires a complete and accurate water use survey".
And in communities near some sites, residents describe a constant low-frequency hum that they say is ruining their homes.
The pattern is consistent: electricity costs, water consumption, noise, and a sense that the benefits accrue to someone else while the burdens stay local. These are not abstract complaints. They are the kind of grievances that produce political action.
The Amazon Case
The sharpest escalation came inside a company, not a city council.
In June 2026, three Amazon engineers — Patrick Schloesser, Darius Irani, and Liesl Wigand — testified before Seattle's city council in favor of regulating data centers. The council subsequently passed a moratorium pausing new data center construction in the city.
The next day, the engineers said, Amazon placed them under investigation. They filed a civil rights complaint accusing the company of retaliating against them for protected political speech.
The case matters because it moves the fight inside the firms building the infrastructure. If the investigation stands, it signals to every employee that speaking at a local hearing carries career risk. If the complaint succeeds, it hands the movement a template for holding employers accountable.
The Federal-Local Collision
While communities push back, the federal government is moving in the opposite direction.
Regulators have moved to fast-track data center grid connections, aiming to clear power requests in about 90 days. The energy secretary framed speed as essential to keeping pace with China. The Trump administration has called for accelerating AI development and pushed back against regulatory calls.
The result is a collision. A grassroots, increasingly bipartisan revolt is running straight into a federal fast lane. The same administration that wants to speed up AI infrastructure is facing communities that have decided they do not want it.
The China Difference
The American backlash has no direct equivalent in China. That is not because Chinese citizens are more enthusiastic about data centers. It is because the siting decisions are made differently.
China's "East Data, West Computing" strategy, launched in 2022, designates eight national computing hubs and ten cluster nodes, concentrated in western provinces with abundant land, cheap renewable energy, and cool climates. Data centers are built where the resources are, not where the users are. The east sends data west; the west sends computing power east.
Inner Mongolia is the clearest example. As of July 2026, the region's total computing power reached 345,000 petaflops, with intelligent computing accounting for 326,000 petaflops. More than 85 percent of the electricity used by regional data centers comes from green power. The region generated more than 270 billion kilowatt-hours of renewable power in 2025, ranking among the top nationwide.
The logic is straightforward. Wind and solar are abundant in the west. Land is cheap. The climate is cool, reducing cooling loads. Instead of fighting local communities over scarce water and grid capacity in densely populated coastal provinces, China routes the computation to where the resources are.
The contrast is not about who loves data centers more. It is about who has the authority to decide where they go. In China, the decision is made at the national level and executed through state-owned utilities and provincial governments. In the United States, it is made by hundreds of local zoning boards, each with the power to say no.
What the Backlash Reveals
The American data center revolt is not a story about technology. It is a story about governance.
The United States has the capital, the chips, and the engineering talent to build the AI infrastructure it needs. What it does not have is a mechanism for resolving the local costs of a national build-out. A data center that serves users in California and Virginia may be sited in Pennsylvania or Ohio. The electricity bill falls on the local ratepayers. The water comes from the local aquifer. The noise reaches the nearest subdivision. The tax revenue goes to the state, but the transmission lines cross the county.
Local governments are responding to the incentives they face. Their constituents are angry about rising bills, water consumption, and noise. The benefits of the project are diffuse; the costs are concentrated. Saying no is politically rational.
The federal government has responded by trying to speed things up. But FERC can fast-track an interconnection queue. It cannot override a city council's zoning authority. It cannot force a community to accept a data center it has voted to ban.
What Comes Next
The moratorium movement is not slowing down. At least 15 states have proposed some form of data center moratorium or building freeze. New York became the first state to impose a one-year moratorium. Maine's legislature passed a statewide moratorium that the governor vetoed. Georgia lawmakers filed multiple measures.
The industry is beginning to adapt. Developers are shifting toward states with fewer restrictions, building behind-the-meter gas plants to bypass grid queues, and negotiating community benefit agreements to buy local support. Amazon's spokesperson said the company "believes in paying the full costs of powering our operations," and that its new Pecos County campus would be "powered by new on-site generation that won't raise electricity costs for Texas families".
But the fundamental tension remains. The AI build-out requires land, power, water, and local acceptance. Three of those can be bought. The fourth has to be earned. And the communities that have already said no are not going to change their minds because a company promises to pay its own way.
Monterey Park was the first city to take this step. The question is how many others will follow — and what that means for an industry that has spent two years assuming the build-out would happen wherever it wanted.
Sources:WHYY (September 14, 2026); St. Louis Public Radio (September 16, 2026); KQED (August 24, 2026); The Next Web (June 19, 2026); Data Center Magazine (August 20, 2026); KTNV (September 10, 2026); Texas Tribune via News from the States (September 14, 2026); Xinhua via China.org.cn (August 27, 2026); Hilco Global (June 2026); Mashable (September 16, 2026); Rockefeller Institute of Government (June 10, 2026); WilmerHale (August 18, 2026).
Disclaimer
The information provided in this article is for general informational and educational purposes only. It does not constitute legal, financial, or professional advice. The author and publisher are not responsible for any actions taken based on the content of this article. Readers should consult qualified professionals for advice specific to their situation. All trademarks and references to third-party products, services, or organizations are the property of their respective owners. The performance data and benchmarks discussed are based on specific research studies and may not generalize to all use cases or environments. As of the publication date, the AI landscape continues to evolve rapidly, and readers should verify current information independently.
Limitations
This analysis is based on reporting and public data available as of the article date; figures may be revised as sources update.
Forecasts from third-party analysts can change with market conditions.
Cost and pricing examples are point-in-time estimates; actual rates vary.
Country and company comparisons rely on public reporting, not operational data.
This sector moves fast; timelines and deal terms may be updated later.
Company deals and regulatory rulings may evolve; verify current status.
AI infrastructure is changing quickly; claims can become outdated soon.
Sources
- WHYY (September 14, 2026)
- St. Louis Public Radio (September 16, 2026)
- KQED (August 24, 2026)
- The Next Web (June 19, 2026)
- Data Center Magazine (August 20, 2026)
- KTNV (September 10, 2026)
- Texas Tribune via News from the States (September 14, 2026)
- Xinhua via China.org.cn (August 27, 2026)
- Hilco Global (June 2026)
- Mashable (September 16, 2026)
- Rockefeller Institute of Government (June 10, 2026)
- WilmerHale (August 18, 2026).
The information provided in this article is for general informational and educational purposes only. It does not constitute legal, financial, or professional advice. The author and publisher are not responsible for any actions taken based on the content of this article. Readers should consult qualified professionals for advice specific to their situation. All trademarks and references to third-party products, services, or organizations are the property of their respective owners. The performance data and benchmarks discussed are based on specific research studies and may not generalize to all use cases or environments. As of the publication date, the AI landscape continues to evolve rapidly, and readers should verify current information independently.
Limitations: This analysis is based on reporting and public data available as of the article date; figures may be revised as sources update.; Forecasts from third-party analysts can change with market conditions.; Cost and pricing examples are point-in-time estimates; actual rates vary.; Country and company comparisons rely on public reporting, not operational data.; This sector moves fast; timelines and deal terms may be updated later.; Company deals and regulatory rulings may evolve; verify current status.; AI infrastructure is changing quickly; claims can become outdated soon.