The defenders of AI infrastructure have a technically coherent position: centralized data centers are an architectural choice, not an AI inevitability, and the fix is model compression and distributed inference rather than opposition to compute itself [1]. That argument was winning in technical communities as recently as eighteen months ago. It is no longer winning where the decisions are being made — in zoning boards, state utility commissions, and the comment periods for large-scale development proposals.