---
id: "framework-evolution-of-retail-power"
type: "framework"
source_timestamps: ["§ A Brief History of the Customer Journey—and Who Holds the Power", "§ The Rise of the AI Agent and the Flattening of Retail"]
tags: ["historical-context", "power-dynamics", "data-ownership"]
related: ["concept-flattening-of-retail"]
steps: ["\\\"Pre-internet Era: Power and information were relatively balanced. Retailers had receipt-level data (sales / combinations / frequency)", "brands had sell-through data. Collaboration was required for insights.\\\"", "\\\"E-commerce Era: Power shifted to retailers (Amazon", "Alibaba). Retailers gained customer-level data", "building large revenue streams (e.g.", "advertising) and higher margins", "while brands remained data-poor.\\\"", "\\\"Gen-AI Agent Era: Power shifts away from retailers toward brands and AI agents. Agents scour the whole market", "bypass retailer lock-in to optimize objective criteria", "flatten the landscape", "and reward true product differentiation.\\\""]
speakers: ["Jur Gaarlandt", "Wesley Korver", "Nathan Furr", "Andrew Shipilov"]
sources: ["geo"]
sourceVaultSlug: "hbr-seg-geo"
originDay: 3
articleStem: "hbr-cl-92-ai-agents-changing-shopping"
sourceUrl: "https://hbr.org/2025/02/ai-agents-are-changing-how-people-shop-heres-what-that-means-for-brands"
sourceTitle: "AI Agents Are Changing How People Shop. Here’s What That Means for Brands."
---
# Evolution of Retail Power Dynamics

This historical framework illustrates that the locus of power in B2C retail is dictated by **who owns the end customer and the associated data**. (Grasping it requires [[prereq-b2c-value-chain]].)

**1. Pre-internet Era — balanced.** Power and information were relatively symmetric. *Retailers* held **receipt-level data** (what sold, in what combinations, how often); *brands* held **sell-through data**. Neither had the full picture, so collaboration was required for insight.

**2. E-commerce Era — retailer-dominant.** Power shifted to platform retailers like [[entity-amazon-d92]] and Alibaba. By owning **customer-level data**, they built significant new revenue streams (notably advertising) and increased margins, while brands remained comparatively data-poor. This is how today's gatekeepers were created.

**3. Gen-AI Agent Era — flattening.** The impending shift to AI agents threatens these gatekeepers by **disintermediating** search and discovery. Agents scour the entire market, bypass retailer lock-in, and optimize for objective criteria — returning power to brands that can win agent-driven discovery. This is the historical setup for the [[concept-flattening-of-retail]] and the winners/losers split in [[claim-mid-tier-retailers-struggle]].

**Enrichment note:** A counter-perspective worth holding: large incumbents (Amazon, Walmart, Alibaba) can expose rich APIs, structured data, and robust reviews — and even build *their own* agents — so **network effects and data moats may partially preserve incumbent power** rather than fully returning it to brands.