---
id: "quote-challenging-adoption-assumptions"
type: "quote"
source_timestamps: ["¶6"]
tags: ["tech-adoption", "contrarian"]
related: ["contrarian-education-adoption-link", "prereq-tech-adoption-lifecycle"]
speaker: "Chiara Longoni, Gil Appel and Stephanie M. Tully"
speakers: ["Chiara Longoni", "Gil Appel", "Stephanie M. Tully"]
quote: "These findings challenge a core assumption in tech adoption: that more education will naturally lead to greater adoption. In reality, as knowledge about AI grows, interest in AI-powered products and services may diminish."
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"
---
# Challenging Tech Adoption Assumptions

> "These findings challenge a core assumption in tech adoption: that more education will naturally lead to greater adoption. In reality, as knowledge about AI grows, interest in AI-powered products and services may diminish."
>
> — [[entity-chiara-longoni]], [[entity-gil-appel]], and [[entity-stephanie-m-tully]] (¶6)

The thesis stated as a challenge to convention. It anchors the contrarian insight [[contrarian-education-adoption-link]] and requires the reader to hold the baseline models named in [[prereq-tech-adoption-lifecycle]].