This project addresses the societal and environmental impacts of generative AI by targeting the opaque and inconsistent zoning regulations that govern data centers and renewable energy facilities. It proposes a human-AI workflow to extract structured zoning information across six Midwest states, creating a searchable, transparent, and replicable database. The resulting tools aim to support sustainable, equitable, and policy-aligned infrastructure planning in the AI era.