---
id: "claim-teaching-improves-understanding"
type: "claim"
source_timestamps: ["§ What's Different About AI-Era Expertise"]
tags: ["learning-theory", "metacognition"]
related: ["concept-reverse-mastery"]
confidence: "high"
testable: false
sources: ["reskilling"]
sourceVaultSlug: "hbr-seg-reskilling"
originDay: 10
articleStem: "hbr-edu-32-help-employees-get-better-with-ai"
sourceUrl: "https://hbr.org/2026/06/help-employees-get-better-not-just-faster-with-ai"
sourceTitle: "Help Employees Get Better—Not Just Faster—with AI"
---
# Directing AI reveals gaps in human thinking

**Claim (confidence: high · not testable):** Drawing on the pedagogical principle that *teaching a subject forces true understanding*, the authors argue that explicitly directing an AI forces professionals to confront gaps in their own thinking. Because the AI requires explicit articulation of criteria and context, the human must clarify vague or unexamined assumptions — leading to a deeper understanding of their own craft. This reinforces [[concept-reverse-mastery|reverse mastery]].

**Enrichment / validation:** *Well supported* as a learning-theory claim. Articulating criteria, assumptions, and priorities forces implicit thinking into explicit form, exposing uncertainty and missing structure in one's own reasoning [1][7], and is consistent with research that AI-assisted work raises the value of human evaluation and decision framing rather than replacing it [4][6]. Conceptually adjacent to **metacognition in professional learning** and Donald Schön's **reflective practice**, both flagged in the enrichment overlay as neighboring frameworks.