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The impact of AI on entry-level roles continues to gain much attention. In the last few weeks alone, I have written several posts addressing different angles of this topic. This has included data from Stanford’s 2026 AI Index Report showing meaningful employment declines among early-career workers in AI-exposed roles like software development and customer support. It has also included a World Economic Forum report, offering a framework for safeguarding and reinventing early-career pathways. And I have shared an article by Amy Edmondson and Tomas Chamorro-Premuzic, on redesigning entry-level jobs rather than eliminating them outright. A new HBR article by Jenny Fernandez builds on this topic by naming a key implication of a shrinking early-career pipeline: organizational “capability debt.” This refers to the accumulating gap between the judgment and tacit skills a company will need in its future leaders and what its shrinking early-career pipeline is actually creating, often unknowingly or quietly. Her three recommended actions are 1) redesigning entry-level roles as capability-building cohorts, 2) building a distributed apprenticeship pipeline across the organization, and 3) auditing and repaying the capability debt that has already accumulated. To build on the third point, I would add that it is important to identify leading indicators that could suggest an organization is accumulating capability debt. The ability to detect this early provides an advantage, giving organizations time to adjust before capability debt surfaces in reduced business performance.
