---
id: "prereq-llm-familiarity"
type: "prereq"
source_timestamps: ["§ Myth 3", "§ Myth 4"]
tags: ["ai-literacy"]
related: ["concept-agentic-ai-sales", "entity-agentic-ai"]
reason: "Without this distinction, leaders will artificially limit their Gen AI use cases to simple chatbots rather than workflow automation."
sources: ["attention"]
sourceVaultSlug: "hbr-seg-attention"
originDay: 4
articleStem: "hbr-cl-90-genai-myths-sales-marketing"
sourceUrl: "https://hbr.org/2025/02/5-gen-ai-myths-holding-sales-and-marketing-teams-back"
sourceTitle: "5 Gen AI Myths Holding Sales and Marketing Teams Back"
---
# Understanding of LLMs vs. Agentic AI

## Prerequisite: Understanding of LLMs vs. Agentic AI

**What you need:** To grasp the source's potential, distinguish a standard **Large Language Model** (used for text generation / chat) from **Agentic AI** (systems that plan and take autonomous, multi-step actions across channels). See [[concept-agentic-ai-sales]] and the entity note [[entity-agentic-ai-d4]].

**Why it matters:** Without this distinction, leaders will artificially limit their Gen AI use cases to simple chatbots rather than workflow automation — which is precisely the failure mode Myth 3 describes.