The Gini coefficient, typically a measure of wealth inequality, now informs edge computing capacity planning. This approach identifies resource imbalances across distributed nodes to optimize hardware allocation. Practitioners can use this metric to prevent bottlenecks in decentralized AI inference. It is a niche but effective application of economic theory to infrastructure.