---
id: "prereq-generative-ai-mechanics"
type: "prereq"
source_timestamps: ["¶4"]
tags: ["technical-literacy"]
related: ["concept-ai-demystification"]
reason: "Required to understand what constitutes 'high AI literacy' in the context of the study."
sources: ["adoption"]
sourceVaultSlug: "hbr-seg-adoption"
originDay: 9
articleStem: "hbr-edu-39-understanding-ai-not-embrace"
sourceUrl: "https://hbr.org/2025/07/why-understanding-ai-doesnt-necessarily-lead-people-to-embrace-it"
sourceTitle: "Why Understanding AI Doesn’t Necessarily Lead People to Embrace It"
---
# Basic Generative AI Mechanics

**Prerequisite:** A basic grasp of **generative-AI mechanics** — what is meant by *algorithms, data-training processes,* and *computational models,* and how these produce outputs like poetry or code.

**Why it's needed:** "High AI literacy" in this study *is* the possession of exactly this knowledge, and it is the knowledge that triggers [[concept-ai-demystification]] — understanding how the outputs are generated is what "strips away the wonder" of the [[concept-ai-magic-effect]]. Readers need this to know what variable the authors are actually manipulating.

> **Open sub-question:** How *much* of this knowledge is enough to break the magic is itself unresolved — see [[question-literacy-threshold]].