---
id: "concept-knowledge-type-tacit-vs-explicit"
type: "concept"
source_timestamps: ["§ Where and When to Use Generative AI"]
tags: ["knowledge-management", "epistemology", "task-analysis"]
related: ["framework-gen-ai-deployment", "concept-creative-catalyst-zone", "concept-quality-control-zone", "prereq-tacit-vs-explicit-knowledge"]
definition: "The distinction between documented, processable information (explicit) and intuitive, context-dependent human judgment (tacit) required to complete a task."
source_url: "https://hbr.org/2025/11/the-gen-ai-playbook-for-organizations"
source_title: "The Gen AI Playbook for Organizations"
sources: ["agentic"]
sourceVaultSlug: "hbr-seg-agentic"
originDay: 6
articleStem: "hbr-cl-87-genai-playbook-orgs"
sourceUrl: "https://hbr.org/2025/11/the-gen-ai-playbook-for-organizations"
sourceTitle: "The Gen AI Playbook for Organizations"
---
# Type of Knowledge: Tacit vs. Explicit

The **Type of Knowledge** a task requires is the second foundational dimension (the horizontal axis) of the [[framework-gen-ai-deployment|deployment framework]]. It sorts the cognitive demands of a job into two buckets.

**Explicit knowledge** is structured or unstructured information that can be clearly captured, documented, and processed. Tasks relying on explicit data — screening resumes based on keywords, summarizing course evaluations, assigning hospital beds based on availability and discharge rates — are highly suitable for gen AI, which excels at retrieving and processing codified information. Explicit-knowledge tasks live in the [[concept-no-regrets-zone|No Regrets]] and [[concept-quality-control-zone|Quality Control]] zones.

**Tacit knowledge** involves empathy, ethical reasoning, intuition, and contextual judgment built through deep human experience. Tasks requiring it — psychotherapy, hiring for soft skills, nuanced leadership decisions, complex strategy setting — are fundamentally harder for gen AI. They require interpreting subtle nuances, responding flexibly to ambiguous contexts, and applying human judgment, making them resistant to full automation. Tacit-knowledge tasks live in the [[concept-creative-catalyst-zone|Creative Catalyst]] and [[concept-human-first-zone|Human-First]] zones.

The distinction is rooted in **Michael Polanyi's** work on tacit knowledge — that which cannot be easily codified or transferred (see [[prereq-tacit-vs-explicit-knowledge-d6]]). *Nuance to flag:* critics of any binary knowledge taxonomy note that many real tasks **blend** tacit and explicit elements, and that pattern-recognition models can approximate aspects of tacit judgment — so the axis is best read as a spectrum, not a hard wall.


## Related across articles
- [[concept-implicit-organization]]
- [[concept-retrievable-layer]]