---
id: "entity-hubert-stuart-dreyfus"
type: "entity"
entityType: "person"
canonicalName: "Hubert and Stuart Dreyfus"
aliases: ["Dreyfus brothers", "Hubert Dreyfus", "Stuart Dreyfus"]
source_timestamps: ["§ What's Different About AI-Era Expertise"]
tags: ["researchers", "skill-acquisition"]
related: ["concept-tacit-knowledge"]
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"
---
# Hubert and Stuart Dreyfus

Hubert and Stuart Dreyfus are the researchers behind the influential **Dreyfus model of skill acquisition**, which traces the professional journey from a rule-following novice to an intuitive expert.

The article invokes their model to frame traditional mastery as *internalization* — the very trajectory that AI now [[concept-reverse-mastery|reverses]]. Their work is the skill-acquisition companion to [[entity-michael-polanyi|Polanyi's]] [[concept-tacit-knowledge-d32|tacit knowledge]]. The enrichment overlay lists the Dreyfus model as one of the two most relevant foundational frameworks for the article's 'traditional mastery' discussion.