Traditional input-based compensation models like retainers, labor multipliers, and cost-plus are becoming obsolete as AI agents automate tactical tasks and reshape how work gets done. This session explores what next-generation compensation frameworks could look like to balance transparency, efficiency, and performance incentives, while still giving agencies room to innovate and invest in new capabilities.