The Productivity Paradox: Why AI Code Generation Doesn't Speed Delivery

Organizations eagerly adopting AI coding tools like Claude and GitHub Copilot expected significant productivity gains, yet sprint velocity and delivery timelines remain unchanged. The problem isn't the AI tools themselves—it's that traditional SDLC processes were designed around human-speed phases that remain bottlenecks even when code generation becomes nearly instant. Companies must fundamentally restructure their development pipelines, not just add tools, to realize AI's true productivity potential.