---
id: "contrarian-agents-are-not-software"
type: "contrarian-insight"
source_timestamps: ["§ What Separates Leaders from Laggards"]
tags: ["governance", "hr", "contrarian"]
related: ["concept-digital-labor-governance"]
challenges: "The conventional view that AI tools are just another category of enterprise software to be managed exclusively by IT."
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"
---
# AI Agents Are Operational Contributors, Not Software Licenses

**Contrarian insight (the source's own):** Traditionally, IT procures and governs software based on licenses, uptime, and security. The authors argue that AI agents must instead be treated as "digital labor" — operational contributors whose behavior must be shaped, onboarded, and offboarded like that of employees.

This reframing shifts governance from a purely technical IT function to a joint HR / Business / IT responsibility (see [[concept-digital-labor-governance]] and [[action-form-joint-governance]]). Managing agents becomes a workforce question — risk boundaries, performance expectations, lifecycle — not a licensing question.

**Challenges:** the belief that AI tools are just another category of enterprise software to be managed exclusively by IT.

**Enrichment / corroboration:** Deloitte's call for "action governance" (who can trigger what, thresholds for autonomy, escalation paths) and the AWS/HBR survey (only 11% of firms feel very well-prepared on governance) both support treating agents as operational contributors needing cross-functional oversight. External literature, however, tends to name risk/compliance rather than HR as the third governance partner — see [[cp-governance-workforce-barrier]] and [[cp-compliance-risk-frameworks]].


## Related across articles
- [[contrarian-humanizing-fails-adoption]]
- [[concept-ai-employee-framing]]