Opposition to AI data centers has become a prominent issue in US politics, crossing party lines. While communities rightly debate the costs and benefits of these facilities, experts Bruce Schneier and Nathan E Sanders argue that focusing solely on data centers obscures the larger impacts of AI: the concentration of power in AI companies and their widespread political and financial influence.
Legitimate Concerns About Data Centers
Local opposition to data centers stems from valid concerns: misallocation of land resources when housing is scarce, pressure on energy prices, and localized environmental impacts. Unlike other industrial facilities, data centers create few jobs. The fiercest opposition often comes from lower-income communities, reflecting an inequitable bargain where tech companies profit from local resources with little return. Globally, the carbon footprint of AI could grow unsustainably if usage accelerates—all for a technology many fear will spread misinformation, eliminate jobs, or pose existential risks.
Data Center Fights May Distract From Bigger Issues
Schneier and Sanders caution that AI companies may actually benefit from data center opposition. These companies can overcome protests when it matters and accept some proposals being defeated. More importantly, focusing opponents on data centers obscures the bigger prize: AI companies aim to capture value from entire industries. They have already conquered customer service and consumer sales, and now target enterprise software, creative design, management, and legal services. In their vision, AI replaces teachers and doctors. These companies prefer to fight resistance to building infrastructure rather than address how their products should be used in those fields.
Mixed Effectiveness of Opposition Campaigns
Data center opposition campaigns have had mixed success. They are most effective against speculative, early-stage proposals with low likelihood of fruition. Advanced-stage, well-capitalized projects often overcome local opposition. For example, an OpenAI- and Oracle-backed facility in Saline Township, Michigan, broke ground after local officials voted to reject it; developers sued the town of 3,000 and forced a settlement to proceed. The Trump administration has also signaled willingness to advance AI infrastructure by overriding state objections and using federal lands.
Data Center Demand May Be Temporary
Rampant data center development might be a momentary spike. Demand for centralized computing could decline as Chinese labs like Z.ai innovate to make models smaller and cheaper. AI power users miniaturize open-weight models to run locally, and Apple and Google support running AI on mobile phones. The current mania may resemble the fiber optic cable bubble of the early 2000s, as demand shifts to smaller models and on-device AI.
Broader Context: Affordability and Environment
For those concerned with affordability and environmental protection, singling out data centers is misplaced. Energy rates and inflation are more visibly affected by the US-Iran war. The US is disinvesting in long-term energy security by ceding renewable energy to China and canceling climate commitments. Heating buildings accounts for 10% of global carbon emissions—far more than AI energy use—and could be cut fivefold with heat pumps powered by renewables. Federal housing subsidies have barely changed in three decades, even as housing costs spike and homeowners enjoy tax incentives.
The Real Risk: Corporate Power Concentration
Schneier and Sanders argue that the greatest existential risk from AI is the concentration of power and wealth in tech companies. This demands limiting corporate power, especially the ability to exploit the public and manipulate the political system. Opposing data centers should be just a starting point. Advocates can push for state regulation of AI, reject irresponsible uses, and shape corporate behavior. They can fight for a tax on AI computation to capture public profit and force AI companies to internalize energy and environmental costs. They can also join the global movement for Public AI—an alternative ecosystem under public control that creates public benefit rather than private profit.
Political Opportunities and AI Company Manipulation
The US midterm elections offer opportunities to control the AI political agenda. In the recent New York congressional Democratic primary, PACs linked to Anthropic and OpenAI spent millions lobbying for or against “AI safety.” Schneier and Sanders note that both companies profit from the mystique that their products are so powerful that controlling them is the world’s most important challenge. OpenAI-backed affiliates frame safety as US industry dominance under federal control, while Anthropic pushes heavier regulation that plays to its ethics-focused branding. Both are more marketing than principled concern.
Political organizers should reject AI companies’ framing and reorient campaigns around populist resistance to corporate concentration. When AI companies pour millions into races, the debate should not be about AI superintelligence. When a plot of land is pitched for a data center, the debate should include out-of-control money in politics and solutions like public financing and state regulation.
Schneier and Sanders conclude: “The greatest risk AI poses to society is the exacerbation of inequality and the concentration of wealth. The real problem is trillion-dollar AI companies and their trillionaire oligarchs cozying up to political power in Washington and worldwide, using their money to enact their agenda over the popular will. This issue requires solutions much more extensive than slowing data center development.”
