Portfolio managers struggle to accurately forecast resource capacity when AI tools unpredictably change project timelines and team productivity

Enterprise portfolio managers lack visibility into how AI adoption affects resource planning assumptions, causing chronic over/under-allocation of teams across projects. Current capacity planning tools don't account for AI-driven productivity variations, making it impossible to predict whether a project needs 5 developers for 6 months or 3 developers for 3 months. This creates cascading delays, budget overruns, and inability to commit to delivery dates with confidence.