Thoughts on the Market
2026-08-18 · Hosted by Mike Wilson · Morgan Stanley
Executive Summary
Morgan Stanley analysts Andrew Ruben and Nathan Feather examined how "agentic commerce" — AI agents that shop and potentially purchase on a consumer's behalf — could reshape the roughly $5 trillion global e-commerce market. They project agentic tailwinds could push five-year e-commerce growth to a 9% compounded rate, up from about 7% over the past four years, expanding the addressable market to $7 trillion, with agentic commerce alone adding about 6% to that opportunity and touching 20% of industry volumes with material agent influence.
Key Stories & Changes
1. Agentic Commerce Could Add $2 Trillion to Global E-Commerce
Global e-commerce is currently a nearly $5 trillion market, representing 22% of total retail sales
Morgan Stanley projects growth to a $7 trillion opportunity over five years, with the compounded growth rate accelerating to 9% from roughly 7% over the past four years
Agentic commerce alone is estimated to contribute about 6% to the five-year addressable market expansion
About 20% of industry volumes are expected to have material AI-agent influence
2. Adoption Concentrated in US and China; Trust Remains the Key Barrier
The US and China are the leading markets for agentic shopping adoption, given their scale and high e-commerce penetration
Morgan Stanley's AlphaWise survey: roughly 30% of Chinese consumers used AI shopping tools in the past month, versus 12% in Brazil
About half of consumers are starting their shopping "top of funnel" with a chatbot at least sometimes, but only a small portion complete full purchases within that flow
Trust in end-to-end AI checkout remains a significant barrier even where AI-assisted discovery is already common
3. Retailer vs. AI-Agent Control of the Customer Journey
Retailers currently hold structural advantages: purchase history, payment information, shipping data, and consumer trust in fulfillment
Over time, external AI agents could gain control by enabling cross-site price comparison and shopping, shifting economics away from retailers
The unresolved question of "who owns the customer journey" is described as the defining variable for how commerce economics evolve
4. Advertising Revenue at Risk From Agentic Disintermediation
Marketplace platforms today derive a majority (sometimes all) of profits from on-site advertising for top product placement
If AI agents divert traffic away from retailer sites, or if consumers don't expect/permit advertising within an AI chat flow, advertising dollars could be diverted away from e-commerce platforms
Analysts note this risk has so far proven smaller than initially expected, but flag it as worth continued monitoring
Trends Identified
1. E-Commerce Growth Is Entering an AI-Accelerated Phase
The shift from roughly 7% to a projected 9% compounded growth rate reflects a structural reduction in shopping friction — from search and discovery to eventual purchase — that Morgan Stanley argues physical retail cannot match, positioning agentic commerce as the next leg of e-commerce share gains against brick-and-mortar retail.
2. Winners Will Be Defined by Selection, Innovation Speed, and Complementary Assets
The analysts identify three durable competitive advantages in an agentic world: broad product selection and inventory positioning, the willingness/ability to build or partner on AI agent tools, and complementary assets like logistics, loyalty programs, and financial services that support the customer journey regardless of how it evolves. ---
Sentiment Analysis
Overall Market Sentiment: Cautiously Optimistic
Both analysts frame agentic commerce as a durable growth driver for e-commerce broadly, while flagging genuine uncertainty — trust barriers, advertising economics, and channel control — that will determine how the value is ultimately distributed.
Risk Factors Highlighted
Consumer trust barrier: Most consumers remain unwilling to let AI agents complete full end-to-end checkout, limiting near-term monetization.
Advertising revenue disintermediation: If AI agents divert traffic away from retailer sites or consumers reject in-chat advertising, a majority-profit revenue stream for marketplaces is at risk.
Model cost economics: Conversational AI queries are more expensive than traditional keyword search, requiring incremental sales (not just channel-shifted ones) to remain profitable as agentic commerce scales.
Uncertain channel control outcome: Whether retailers or general AI agents ultimately own the customer relationship will materially change how commerce economics are distributed — a multi-year uncertainty for investors.
This episode was covered in today's [The Market Signal — 2026-08-18](https://marketsignal.beehiiv.com/p/the-market-signal-2026-08-18), a cross-source synthesis of multiple podcast reports.