Why Communities Fight Data Centers
A framework for understanding opposition to the American data center buildout — and for predicting how each fight is likely to end.
Draft working paper (July 2026). Circulated for comment by the ALEA Institute. The empirical figures move quickly and should be reconfirmed before you rely on them.
In roughly two years, opposition to data center development has grown from scattered local complaints into an organized national movement — one that now blocks or delays tens of billions of dollars in projects every quarter. The common "NIMBY" label treats that opposition as irrational or merely selfish. This paper argues it is neither, and offers a framework for making sense of the grievances communities raise and predicting how each is likely to be resolved.
Two Structural Facts
The argument rests on two facts about how these projects get built:
Benefits flow broadly; costs concentrate locally
A data center serves a national company and a national ambition in AI. The noise, water draw, truck traffic, higher electric bills, and lost farmland are borne by the few thousand people who live nearby.
The binding constraint is electric power, not community consent
Developers go where a utility can deliver the load on their timeline — which is why projects land on cheap rural land near high-voltage transmission, and why residents so often feel the decision was made upstream, before anyone asked them.
A Framework: Three Axes of Grievance
The paper sorts community grievances along three axes that together predict how a fight behaves:
Remediability
Whether a condition of approval could satisfy the grievance. Noise, wells, rates, and property values can be addressed through binding conditions and community-benefit agreements; irreversible land loss, a broken process, and opposition to AI itself cannot. This axis predicts the channel: remediable grievances end in negotiated terms, intrinsic ones in moratoria and referenda.
Scale
Whether the injured interest is a single parcel, a community, or society at large. Scale predicts who mobilizes, from a lone plaintiff to a networked national movement.
Project phase
Announcement, construction, operation, or enforcement. Grievances activate at different times, from the secrecy that dominates the announcement to the broken promises that only surface years later at enforcement.
What the Evidence Shows
Opponents blocked or delayed roughly 75 projects worth about $130 billion in the first quarter of 2026 alone — the most on record — as active opposition groups more than doubled over the same period.
Opposition is strikingly bipartisan: about 71% of Americans would oppose a data center built in their area — 75% of Democrats and 63% of Republicans.
More than 200 local moratoria across 30 states now restrict data center development, concentrated in fast-growing Midwestern and Southeastern markets.
The local economic case is weak where it lands: roughly $13 million in capital per permanent job, against about $137,000 elsewhere in the economy.
The disputes residents actually win in court are procedural — challenges to how an approval happened, not to whether a data center is good — as in the defeat of Virginia's Digital Gateway.
Why It Matters
The framework's practical payoff is that it tells you which lever fits a grievance. It distinguishes what better rules can resolve — disclosure requirements, approvals tiered by size and load, separate utility rate classes, enforceable conditions — from what only a siting or moratorium decision can reach. Its central prediction is testable against the growing archive of ordinances and agreements: remediability sorts the outcome. And it clarifies a trajectory, as a rising share of opposition treats the facility as a proxy for artificial intelligence and the firms behind it — opposition that no better deal will satisfy.
Read the Working Paper
The full paper, with figures, citations, and the complete framework, is published by the ALEA Institute.
This Is Server Country tells the story behind these fights. Read more about the book:
About the Book