---
id: "claim-ai-attribution-bias"
type: "claim"
source_timestamps: ["§ Relatedness."]
tags: ["psychology", "bias"]
related: ["concept-ai-as-social-actor", "concept-psychological-needs-triad"]
confidence: "medium"
testable: true
speakers: ["Erik Hermann", "Stefano Puntoni", "Carey K. Morewedge"]
sources: ["adoption"]
sourceVaultSlug: "hbr-seg-adoption"
originDay: 9
articleStem: "hbr-sig-52-genai-threatening-to-workers"
sourceUrl: "https://hbr.org/2026/03/why-gen-ai-feels-so-threatening-to-workers"
sourceTitle: "Why Gen AI Feels So Threatening to Workers"
---
# Workers Exhibit a Hypocritical Bias Regarding AI Attribution

Workers harbor a natural psychological **attribution asymmetry** regarding the legitimacy of Gen AI use, which feeds off treating [[concept-ai-as-social-actor|AI as a social actor]].

They tend to believe that **their own** use of Gen AI is legitimate and that they deserve **full credit** for the resulting output. Yet they simultaneously believe that **colleagues** who use Gen AI in the exact same way deserve **less credit** for their work.

This conflicting, self-serving perspective can foster resentment and weaken team collaboration — threatening the **relatedness** leg of the [[concept-psychological-needs-triad]].

**Confidence: MEDIUM.** Enrichment: there is emerging experimental evidence of attribution asymmetries — people judge others more harshly for using AI (perceiving them as less competent, 'cheating,' or 'lazy') while endorsing their own AI use as savvy or efficient. However, the exact pattern is not yet a standard named bias; it is best treated as an insightful hypothesis consistent with general self-serving bias rather than a directly measured construct.