Overview
AI-assisted coding is more than a developer-productivity issue; it is a production-accountability issue. This makes the executive decision clear. Permit AI-assisted development broadly, but block material production changes unless a named human can explain, support, secure, and reverse the change.
AI lowers the marginal cost of producing code, but it does not lower the enterprise cost of owning software. In many environments, it shifts cost toward verification, dependency review, failure-mode analysis, support handoff, audit evidence, and rollback design. Cheap code is not cheap software if no one can operate it under pressure.
What Is Happening
AI coding tools are moving from autocomplete to agentic contribution. The dominant market narrative is productivity: more code, faster delivery, fewer repetitive tasks. That story is directionally true in some contexts, but it is far too thin for CIO decision-making.
Whether AI produces code quickly requires less debate than whether the …