This article argues that many development teams fail to see productivity gains from AI because they haven't addressed fundamental bottlenecks in their processes. High-performing teams succeed by streamlining workflows and working in smaller batches, while others struggle to adapt and end up slower with AI. The author emphasizes that significant investment and commitment are necessary to build effective software development capabilities.