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The tech industry's practice of using NDAs when negotiating with local governments is counterproductive. It fuels a narrative of secretive, exclusionary deals, intensifying public mistrust in an era of low institutional confidence and reinforcing fears of oligarchic control.

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Contrary to stereotypes, local activists opposing data centers are often well-informed about the technology. Their resistance stems from a deep-seated distrust that corporations and local governments will honor promises regarding jobs and costs, citing past failures like Foxconn.

Fierce public pushback against data centers, leading to moratoriums like New York's, is not solely about environmental impact. Data centers have become the physical manifestation of an AI industry that a significant portion of the public believes is making their lives actively worse.

Hyperscalers force local officials into non-disclosure agreements, which backfires spectacularly. This secrecy prevents officials from controlling the public narrative, allowing rumors and social media misinformation to flourish and destroy trust before a project is even formally announced.

Just two years ago, communities offered tax subsidies to attract data centers. Now, due to intense public backlash, the dynamic has inverted. Tech companies must offer substantial upfront benefits and transparent deals to gain approval, effectively bidding for a community's acceptance.

The AI industry's failure to communicate its benefits (blue-collar job creation, community investment) has created a political narrative vacuum filled by fear. This has led to significant and misguided regulatory risks like data center moratoriums, which are entirely self-inflicted.

Journalist Taylor Lorenz notes that wild conspiracy theories—like data centers causing cancer or serving billionaire bunkers—are counterproductive. They allow tech companies to easily dismiss all local opposition as irrational, drowning out valid environmental and community concerns.

Public opposition to AI data centers stems from the industry's failure to communicate tangible benefits to the average person. Unlike a car factory, a data center's value is abstract, making it easy for communities to see only the negatives, creating a trust and reputation problem for AI companies.

The backlash against AI data centers is less about the technology itself and more a proxy for public frustration. Citizens feel a future they didn't choose is being imposed on them by a powerful few, making the debate about oligarchy, not Skynet.

When building data centers, AI and cloud companies require local leaders and trade unions to sign strict NDAs. While a standard business practice, this secrecy prevents officials from addressing community concerns, leading to mistrust and the perception that something is being hidden, fueling backlash.

Public opposition to AI data centers stems from early strategic errors by hyperscalers. By cutting deals that raised local power rates and aggressively seeking tax breaks without community engagement, they alienated the rural areas they sought to build in, creating an avoidable PR problem.