The article reports that 70% of Americans oppose the construction of more data centers in the United States. ^[1] A rapid boom in data center construction across Asia is generating significant public backlash. ^[2] Researchers developed a method that treats electricity market clearing as a differentiable optimization layer to enable gradient-based planning for data centers. ^[3] President Donald Trump said that data centers are essential for the United States to win the artificial intelligence race. ^[4] In Moss Vale, Australia, opposition to a gas-fired power plant intended to support data centers began in a WhatsApp chat group for preschool parents. ^[5] The authors validated the proposed gradients against finite differences before applying the method to a concrete problem. ^[6] The concrete problem involved allocating 50 MW of data-center load across six candidate buses in two synthetic networks under a fixed cost per active site. ^[7] The method uses reverse-mode automatic differentiation to propagate planning costs back through cleared prices to the plan after each forward pass solves the market. ^[8] Local communities are actively mobilizing against the infrastructure required to sustain the digital economy. ^[9]