---
id: "question-literacy-threshold"
type: "open-question"
source_timestamps: ["¶4"]
tags: ["metrics", "ai-literacy"]
related: ["concept-ai-demystification", "prereq-generative-ai-mechanics"]
resolutionPath: "Granular A/B testing exposing consumers to varying depths of technical explanation to identify the exact point where awe turns into pragmatic disinterest."
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"
---
# What is the exact literacy threshold that triggers disinterest?

**Open question:** The research shows a spectrum where higher literacy lowers receptivity, but it is unclear *how much* knowledge is required to "break the magic trick." Is a basic awareness that AI uses training data enough ([[prereq-generative-ai-mechanics]]), or does it take a deeper understanding of neural networks and computational models to trigger [[concept-ai-demystification]]?

**Resolution path:** Granular A/B testing that exposes consumers to varying depths of technical explanation to locate the exact point where awe turns into pragmatic disinterest.

> **Enrichment angle:** Related unresolved dimension — literacy about *machine learning* vs. *generative AI* vs. *data privacy* may each move receptivity differently, so a single "literacy threshold" may be domain-specific rather than universal.