AI's Productivity Paradox: When Output Outpaces Validation

While AI coding tools are delivering unprecedented productivity gains—epics completed up 66% and task throughput up 34%—downstream quality systems remain unchanged and overwhelmed. Code review backlogs have grown so severe that 31% of PRs merge without review, driving incident rates upward. This 'governance gap' reveals a critical structural mismatch: AI generates at the beginning of the workflow, but validation happens at the end, making it impossible for teams to keep pace.