---
id: "concept-tacit-knowledge-d51"
type: "concept"
source_timestamps: ["§ 2. Build a Distributed Apprenticeship Pipeline"]
tags: ["knowledge-transfer", "epistemology", "mentorship"]
related: ["concept-knowledge-cliff", "claim-70-20-10-development-loss", "framework-distributed-apprenticeship"]
definition: "Unwritten, experiential knowledge—such as deal intuition, client navigation, and political judgment—that lives in people and is transmitted through proximity and time rather than documentation."
sources: ["reskilling"]
sourceVaultSlug: "hbr-seg-reskilling"
originDay: 10
articleStem: "hbr-sig-51-talent-strategy-ai-transformation"
sourceUrl: "https://hbr.org/2026/06/your-talent-strategy-has-to-keep-up-with-your-ai-transformation"
sourceTitle: "Your Talent Strategy Has to Keep Up with Your AI Transformation"
---
# Tacit Knowledge

Organizations carry two distinct types of knowledge: **explicit** and **tacit**. Explicit knowledge lives in documentation, databases, and systems, and is easily absorbed or replicated by AI. Tacit knowledge lives exclusively in people. It encompasses the nuanced, unwritten rules of business: how to navigate a difficult client personality, when to escalate an issue versus handle it quietly, deal intuition, positioning judgment, and understanding how decisions are actually made within the political fabric of the firm.

Tacit knowledge cannot simply be written down or downloaded via an LLM prompt; it is transmitted almost entirely through **proximity and time**. Historically, entry-level roles served as the primary vehicle for this transfer, allowing junior staff to absorb tacit knowledge by observing senior practitioners. As these roles are automated, the transmission mechanism is severed — which is precisely what produces the [[concept-knowledge-cliff]] and destroys the experiential and relational learning quantified in [[claim-70-20-10-development-loss]].

The author's prescribed remedy is the [[framework-distributed-apprenticeship]], which re-creates proximity deliberately once it no longer happens by default.

**Theoretical grounding (for expert conversations).** The tacit/explicit distinction originates with Michael Polanyi and was extended by Nonaka & Takeuchi's SECI model (Socialization, Externalization, Combination, Internalization), in which tacit knowledge transfers mainly through *socialization* — shared experience. Lave & Wenger's *communities of practice* and *situated learning* similarly hold that learning occurs through participation in social practice, not formal instruction. A nuanced counter-view (see the AGENT PRIMER) notes AI can still *assist* tacit-knowledge capture — recording expert decision rationales, simulating scenarios — even if it cannot replace human apprenticeship.

The foundational distinction is treated as assumed background in [[prereq-tacit-vs-explicit-knowledge-d10]].


## Related across articles
- [[concept-tacit-knowledge-d32]]
- [[concept-reverse-mastery]]
- [[concept-unconscious-competence]]