---
id: "cp-governance-workforce-barrier"
type: "counter-perspective"
source_timestamps: ["Enrichment: Counter-Perspectives §2"]
tags: ["counter-perspective", "governance", "workforce-skills", "operating-model"]
related: ["claim-bottleneck-is-explicit-judgment", "concept-digital-labor-governance", "concept-judgment-architect"]
sources: ["agentic"]
sourceVaultSlug: "hbr-seg-agentic"
originDay: 6
articleStem: "hbr-new-27-teach-ai-your-decisions"
sourceUrl: "https://hbr.org/2026/06/teach-your-ai-how-you-make-decisions"
sourceTitle: "Teach Your AI How You Make Decisions"
---
# Counter: Governance & Workforce Skills Are the Core Barrier

**Competing thesis (from the AWS + HBR Analytic Services survey and Deloitte):** The major bottleneck is not just making judgment explicit but having people capable of designing, governing, and supervising agentic systems. The survey finds only **5%** of organizations feel "very well-prepared" on workforce skills and **11%** on governance structures; Deloitte frames agentic AI as "an operating model problem" centered on role clarity, process design, and governance.

**Why it challenges the source:** Even with explicit judgment files, organizations may fail if they lack governance maturity and skilled [[concept-judgment-architect|judgment architects]] and [[concept-thought-doer|thought-doers]].

**Implication:** Investment in skills and governance may be equally or more important than the act of documenting judgment. Notably, external frameworks foreground **risk/compliance** as a governance partner more than HR, qualifying the business–HR–IT triad of [[concept-digital-labor-governance]].