---
id: "concept-ai-receptivity-paradox"
type: "concept"
source_timestamps: ["¶2", "¶3"]
tags: ["consumer-psychology", "ai-adoption", "core-thesis"]
related: ["concept-ai-magic-effect", "claim-low-literacy-adoption", "contrarian-education-adoption-link", "concept-ai-demystification", "claim-low-literacy-perception"]
definition: "The phenomenon where individuals with lower knowledge of AI are more likely to embrace and adopt it, despite viewing it as less capable and more ethically concerning."
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"
---
# The AI Receptivity Paradox

The **AI Receptivity Paradox** describes the inverse relationship between a person's knowledge of artificial intelligence (**AI literacy**) and their willingness to adopt and embrace it. Traditional technology-adoption models assume that increased education and understanding *raise* adoption rates. The research of [[entity-chiara-longoni]], [[entity-gil-appel]], and [[entity-stephanie-m-tully]] — combining cross-country datasets from [[entity-tortoise-media]] and [[entity-ipsos]] with six U.S.-based studies involving thousands of participants — shows the opposite: individuals and populations with *lower* average AI literacy are more open to adopting AI.

Paradoxically, this higher receptivity persists even though low-literacy individuals explicitly rate AI as *less* capable and *more* ethically concerning than high-literacy individuals do (see [[claim-low-literacy-perception]]). Their adoption is therefore driven not by a rational assessment of utility but by an emotional response to the technology's perceived mystique — the [[concept-ai-magic-effect]]. As literacy rises, that mystique collapses through [[concept-ai-demystification]].

This is the vault's central finding. The foundational paper, *"Lower Artificial Intelligence Literacy Predicts Greater AI Receptivity,"* was published in the [[entity-journal-of-marketing]] and hosted as a working paper by the [[entity-org-marketing-science-institute]]. Independent summaries by the [[entity-org-center-for-ai-policy]] and the [[entity-org-gw-trustworthy-ai-initiative]] label the effect the *"AI knowledge / literacy paradox."* The paradox is directly evidenced by [[claim-low-literacy-adoption]] and stated as the contrarian thesis [[contrarian-education-adoption-link]].

> **Enrichment nuance:** Adjacent work on the *AI trust paradox* (PLOS One) shows that support for AI can exceed trust — people use AI despite doubt, driven by FOMO, efficiency, and optimism as well as awe. So while the magic mechanism is real, it is not the *only* path into the paradox.


## Related across articles
- [[contrarian-education-adoption-link]]
- [[action-invest-ai-literacy]]