GEP-UVA Darden AI Scaling Study

A joint study by GEP and the University of Virginia's Darden School of Business reveals that only 5% of supply chain AI initiatives successfully scale beyond experimentation, despite widespread adoption efforts. The research, based on surveys and interviews with nearly 200 large enterprises, indicates that the primary barrier to scaling AI is not technology or budget, but rather a lack of management discipline, including formal governance, portfolio discipline, auditability, transparency, and workforce alignment. Michael DuVall of GEP emphasized that companies fail by automating broken processes. The elite 5% achieve triple-digit productivity gains by redesigning workflows and implementing clear business outcomes for AI. The full report, 'Why Operational Discipline Determines Agentic AI Success,' details these findings.