Code Abundance, Operational Scarcity: Why AI-Generated Software Is Creating a New CIO Bottleneck

This article examines how AI-assisted development increases code production while shifting constraints to downstream activities like architecture review, test design, security analysis, release governance, documentation, production operations, and cost control. It cites surveys showing higher code volume and production issues, and argues that traditional productivity metrics are insufficient. Instead, CIOs should adopt a quality-adjusted delivery scorecard tracking escaped defects, rollback/rework, review burden, security remediation, operational toil, and cost per accepted business change. The article is relevant to IT/technology leadership and software engineering management.