Capability Debt: When AI Productivity Weakens the Expert Pipeline

This article introduces the concept of 'capability debt' in the context of AI adoption in technology organizations. It argues that while AI tools improve immediate productivity (e.g., faster code scaffolding, cleaner summaries), they can inadvertently remove the high-learning work that builds independent judgment, reviewer capacity, and succession depth. The author frames this as a deferred operational liability with principal, interest, and default events, urging leaders to measure AI programs across three horizons: immediate delivery, independent transfer, and long-term workforce pipeline. The piece is a strategic analysis for tech leaders, emphasizing the need to automate mechanics without eroding human capability.