---
id: "prereq-behavioral-economics-d6"
type: "prereq"
source_timestamps: ["¶2", "§ What We Found"]
tags: ["psychology", "marketing"]
related: ["concept-human-centric-persuasion"]
reason: "Necessary to understand why traditional marketing works on humans and why its failure on AI agents represents a paradigm shift."
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"
---
# Behavioral Economics in E-commerce

**Prerequisite knowledge:** Traditional e-commerce persuasion tactics and the psychological principles they exploit — **loss aversion, anchoring, scarcity bias, and social proof**.

**Why it's required:** The source's argument only lands if the reader understands *why* [[concept-human-centric-persuasion|human-centric persuasion tactics]] reliably work on humans. Their failure on AI agents represents a genuine paradigm shift, not a tuning problem.

**Grounding literature:** These mechanisms descend from behavioral economics — Kahneman & Tversky's prospect theory (loss aversion, anchoring) and Thaler's work on framing and mental accounting. The key point the source makes is that this entire body of theory was built on **human subjects**, so its applicability to AI buyers is now an open, testable question (see [[quote-hypotheses-to-test]]).

**Related:** [[concept-human-centric-persuasion]] · [[quote-hypotheses-to-test]] · [[claim-traditional-marketing-fails]]


## Related across articles
- [[prereq-behavioral-economics-d5]]
- [[concept-human-centric-persuasion]]