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Data Centre Outrage Is Growing. But Where Are the Facts?

Ricardo Casanova · @rcasanovaAI · @8alta8 Research

With every passing week bringing another wave of AI headlines, one of the more beguiling stories has been the growing public outrage surrounding data centres. For an industry that largely operated outside public consciousness until recently, it has suddenly found itself at the centre of political campaigns, environmental protests, and increasingly heated debates about the future of our communities.

The recent US midterm elections offered a particularly striking example. According to CNN, opposition to data centre development became a significant campaign issue, with candidates capitalizing on concerns about energy bills, home values and tax breaks for data centres. Ballotpedia’s coverage of local ballot measures also illustrates how communities are increasingly turning to legislation and voting restrictions to influence where these facilities can be built.

The controversy isn’t confined to the United States. In Europe, protesters reportedly breached a Microsoft data centre construction site in Amsterdam, part of a broader wave of demonstrations against large-scale developments. What was once a relatively obscure infrastructure discussion has become an international political and environmental flashpoint.

I find the reaction fascinating. Data centres have been around for decades, quietly supporting everything from banking and telecommunications to the cloud services we use every day. I’ve worked in the IT industry since the early days of cloud computing, when businesses were racing to move their infrastructure into massive data centres operated by someone else. So why the sudden outrage? Certainly, AI has accelerated demand, and the scale, power requirements, and concentration of new developments are changing the equation. But much of the debate seems to be taking place without a clear understanding of what’s actually being proposed, how these facilities differ from those we’ve relied on for years, or what their environmental and economic impacts really are. It’s worth asking how much of the current backlash reflects genuinely new risks and how much comes down to information that simply hasn’t been made available.

Accountability Requires More Than Promises

To be clear, I am entirely in favour of holding developers and governments accountable. If a company promises thousands of jobs, communities deserve to know whether those are temporary construction positions, permanent operational roles, or indirect employment estimates. A project employing thousands during construction may require relatively few people once operational, and those figures should never be conflated.

Even permanent employment projections deserve closer examination. How many jobs will actually go to local residents? How many require specialized technical expertise brought in from elsewhere? Will the development create meaningful opportunities for local training and long-term employment, or will the community primarily supply the land, electricity, water, and supporting infrastructure?

Environmental claims deserve the same scrutiny. Electricity requirements, water consumption, cooling technologies, noise, emissions, and infrastructure costs should be disclosed in terms that people can understand and independently verify. Sustainability commitments are welcome, but there’s a substantial difference between a corporate ambition and a measurable operational reality.

We should be especially cautious when marketing projections are presented as established economic benefits. Promised investment isn’t the same as realized local prosperity, just as projected environmental mitigation isn’t evidence that an impact has already been addressed.

Separating Fear from Fiction

Politics these days seems particularly adept at pitting people against one another, exploiting uncertainty, encouraging division, and amplifying fear. All the classics! Data centres have become another convenient battleground, with developers promoting economic prosperity, opponents warning of environmental catastrophe, and politicians finding plenty of material to work with in between.

Somewhere in all that noise, we need to separate legitimate fears from fiction, credible projections from marketing fluff, and documented impacts from speculation. There are real questions about electricity costs, water consumption, employment, and environmental consequences that deserve serious answers. But when every development is portrayed as either an economic miracle or an environmental disaster, we’re doing ourselves a disservice. The truth is almost certainly more complicated, and without sufficient information, how would we even know?

A recent CTV article about Loudoun County, Virginia, described a jurisdiction with more than 200 data centres. According to the county’s own figures, that number refers to approximately 233 data centre buildings, including those under construction. Multiple buildings can belong to a single campus or development. Their collective footprint remains significant, but the distinction matters when we’re trying to understand the actual scale of the industry.

Another recurring argument is that communities will eventually inherit enormous abandoned industrial buildings when today’s computing technology becomes obsolete. It’s a reasonable concern, but what evidence establishes that abandonment is inevitable? Servers and cooling systems have replacement cycles, while buildings and supporting infrastructure can potentially be upgraded or repurposed. We should be examining lifecycle planning, redevelopment costs, and decommissioning obligations rather than treating a possible outcome as a foregone conclusion.

The industry has a responsibility to substantiate its promises. Those challenging it should be equally willing to substantiate their claims.

The More We Looked, the Less We Knew

This growing disconnect between the intensity of the debate and the availability of reliable information is what prompted me to start researching the issues directly.

With the assistance of AI, we began compiling publicly available information about data centre developments across North America, Europe, Southeast Asia, and other regions. We examined electricity demand, energy sources, water consumption, cooling technologies, noise, environmental considerations, infrastructure requirements, and economic claims.

What surprised us wasn’t necessarily evidence that these facilities were overwhelmingly beneficial or harmful. It was the remarkable amount of information that simply wasn’t available.

Some projects publish detailed environmental assessments, while others provide little beyond promotional announcements. Employment projections frequently lack enough detail to distinguish temporary construction activity from permanent local employment. Electricity requirements may be disclosed without clearly identifying generation sources or who will ultimately pay for infrastructure upgrades. Water consumption can be particularly difficult to establish, especially when trying to distinguish projected requirements from actual operational usage.

Even the terminology varies between sources. Buildings, campuses, facilities, and developments are sometimes counted interchangeably, making meaningful comparisons unnecessarily difficult.

We’re discussing investments worth billions of dollars, yet in many cases, the public information needed to evaluate their long-term consequences remains fragmented, inconsistent, or unavailable.

Introducing the 8ALTA AI Infrastructure Observatory

What began as a personal research exercise has evolved into the 8ALTA AI Infrastructure Observatory, one of our research initiatives at 8ALTA.

We’re developing a publicly accessible resource that brings together available information about data centre developments, their potential environmental and economic impacts, and, perhaps most importantly, what remains unknown.

The Observatory uses AI-assisted research supported by source provenance tracking and verification procedures designed to help establish where information originated and how confidently it can be relied upon.

It’s currently in beta, and we’re under no illusion that every figure is complete or perfectly accurate. We expect inconsistencies, missing information, and occasional errors. Part of the challenge is establishing a sufficiently comprehensive foundation of publicly available information while continuously improving its reliability.

We’re not approaching this research with a predetermined position on whether data centres are good or bad. Some developments may deliver substantial economic benefits with manageable environmental impacts. Others may place unreasonable demands on local resources or leave communities carrying costs they never anticipated.

The objective is to make those distinctions easier to evaluate using evidence rather than assumptions.

An Invitation to Engage With Our Research

We’d like to invite you to explore the Observatory, browse the research, and question what you find. If something looks inaccurate, we’ve overlooked important information, or you have questions about a particular development, please comment, send me a direct message, or email ricardo@8alta.com.

We’d particularly welcome contributions from residents, researchers, developers, utilities, and environmental specialists who can help improve the completeness and reliability of the information.

The growing protests and political backlash demonstrate that communities are taking data centre development seriously, and rightly so. These are substantial infrastructure decisions with potentially significant economic and environmental consequences.

But public accountability requires transparency, and transparency is only meaningful when the information is accessible, comparable, and verifiable. Neither reassuring corporate presentations nor alarming headlines should substitute for evidence.

Before we decide whether these developments are good or bad for our communities, shouldn’t we make an effort to understand what we’re actually evaluating?

The 8ALTA AI Infrastructure Observatory is an independent, AI-assisted research initiative currently in beta. Information is aggregated from public sources and may be incomplete or inaccurate. Readers are encouraged to consult original sources and independently verify material claims.

Referenced reporting: CNN (November 7, 2026), CTV News (November 5, 2026), Ballotpedia election coverage, Associated Press reporting on European protests (via CTV News), and Loudoun County government data.