---
id: "claim-executives-have-false-confidence"
type: "claim"
source_timestamps: ["¶3", "¶4"]
tags: ["industry-perception", "management-blindspots"]
related: ["claim-traditional-marketing-fails", "concept-human-centric-persuasion"]
confidence: "high"
testable: true
speakers: ["Jafar Sabbah", "Oguz A. Acar"]
sources: ["geo"]
sourceVaultSlug: "hbr-seg-geo"
originDay: 3
articleStem: "hbr-tier2-06-ai-shopping-agents"
sourceUrl: "https://hbr.org/2026/05/research-traditional-marketing-doesnt-work-on-ai-shopping-agents"
sourceTitle: "Research: Traditional Marketing Doesn’t Work on AI Shopping Agents"
---
# E-commerce executives falsely believe human cues work on AI

**Claim (confidence: high · testable: true):** In a survey of **50 e-commerce executives** in the **US and UK**, the majority recognized that [[concept-ai-shopping-agents|AI agents]] affect traffic and conversion. However, **many falsely believe** that the cues persuading human shoppers will influence AI agents in similar ways — and that they already understand which website elements matter most to agent behavior. The research shows this confidence is misplaced (the empirical basis is [[claim-traditional-marketing-fails]]).

This is the **managerial blind spot** at the heart of the source's "why this matters now" framing: the gap between industry belief and empirical finding.

**Enrichment / confidence note:** The specific survey statistics (50 executives, US/UK) are reported only in the original HBR article and are **not fully reproduced in secondary coverage** — treat the exact numbers as contingent on the primary source. The *qualitative direction*, however, is well corroborated: multiple analyses describe practitioners assuming CRO best practices (scarcity, countdowns, strike-throughs) work for all sessions without distinguishing human vs. agent traffic, and recommend treating agent interactions as a **distinct behavioral segment**.

**Related:** [[claim-traditional-marketing-fails]] · [[concept-human-centric-persuasion]] · [[concept-ai-model-segmentation]]
