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Stop Bad Data Centers

Exposing AI Data Center Threats and Harms

Data Center Impacts

Real-world examples and analysis of how data centers harm communities.

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Be informed and be ready to protect your community from the economic, environmental, and social harms of data centers.

While tech companies promote data centers as clean, high-tech facilities that bring jobs and investment, the reality reveals that corporations profit from the theft of finite resources while offloading the true costs onto taxpayers and communities already grappling with climate change, poverty, and inequality.

Training massive AI models requires months of continuous operation on giant data center clusters, creating unprecedented energy demands. That results in AI workloads consuming 3-8x more energy than traditional computing.

These massive industrial operations impose burdens across multiple domains, including financial, environmental, and public health sectors, often lacking transparency.

AI Facilities Require Specialized Analysis

Traditional data center opposition strategies may not address AI-specific risks. Use our specialized tools to identify and challenge AI development.

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  • Regulatory Capture & Loopholes

    Regulatory capture refers to when regulatory agencies adopt policies that favor the industries they are supposed to regulate. In the case of data center backup generators, the U.S. Environmental Protection

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  • Resource Extraction & Energy Misinformation

    The rapid expansion of AI infrastructure relies on a "dual extraction" model: the physical mining of finite natural resources and the strategic manipulation of energy policy. While the industry accelerates

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  • Supply Chain Water Depletion & Resource Consumption

    Manufacturing the computer chips that power AI and data centers requires enormous amounts of water, long before a data center ever turns on. Producing the ultrapure water needed for chip

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  • The Crisis of AI Ethics: Exploitation, Colonialism, and Consent

    The "intelligence" of modern AI is not a product of code alone; it relies on a global, outsourced "shadow workforce" and the uncompensated extraction of personal data. This model is

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  • The Data Center Job Gap

    Data centers promise jobs, but the reality is minimal: a typical large facility may generate around 1,500 temporary construction jobs, but only ~50 permanent operations positions, creating a stark mismatch

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  • Unchecked Emission Scaling & Climate Acceleration

    Data center carbon emissions in the United States have surged dramatically with the rapid growth of artificial intelligence and digital infrastructure. From 2018 to 2024, emissions increased roughly 300%, reaching

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  • Utility Rate Increases & Ratepayer Burden

    Data centers consume enormous amounts of electricity, forcing utilities to build expensive new power plants, transmission lines, and grid upgrades. Utilities typically spread these costs across all customers, meaning residents

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  • Water Consumption Crisis

    Data centers require massive amounts of water, primarily for cooling. A single large data center can use as much water daily as a town of 50,000 people. AI-specialized facilities use

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AI Facilities Require Specialized Analysis

Traditional data center opposition strategies may not address AI-specific risks. Use our specialized tools to identify and challenge AI development. Contact us to get connected to an expert who can help.

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