---
id: "prereq-agentic-ai-understanding"
type: "prereq"
source_timestamps: ["¶1", "§ Flaw #1: It's too slow to be effective."]
source_url: "https://hbr.org/2026/05/what-are-your-companys-ai-nightmares"
source_title: "What Are Your Company's AI Nightmares?"
tags: ["ai-capabilities", "context"]
related: ["concept-agentic-ai-governance-gap"]
reason: "To grasp why the standard policy approach fails specifically in the modern AI era, one must understand the cross-functional demands of agentic AI."
sources: ["governance"]
sourceVaultSlug: "hbr-seg-governance"
originDay: 7
articleStem: "hbr-cl-82-ai-nightmares"
sourceUrl: "https://hbr.org/2026/05/what-are-your-companys-ai-nightmares"
sourceTitle: "What Are Your Company’s AI Nightmares?"
---
# Understanding of Agentic AI vs. Narrow/Generative AI

**Prerequisite knowledge:** The reader must understand that **agentic AI** — systems that take *autonomous actions across platforms* — differs fundamentally from **generative AI**, which primarily outputs text/images to a user. Agentic AI requires deeper cross-functional integration and moves faster, which is exactly what makes slow, siloed policies obsolete.

**Why it's needed:** The whole argument hinges on this distinction. Without it, the reader cannot see why the standard policy approach fails *specifically in the modern AI era* — i.e., why [[concept-agentic-ai-governance-gap]] exists and why [[claim-standard-rai-too-slow]] bites now rather than five years ago.


## Related across articles
- [[prereq-agentic-ai-concepts]]
- [[concept-agentic-ai-d7]]