AI Agents Reshape Commerce, Four Business Groups Gain
a16z partners Olivia Moore and Justine Moore outline four categories of businesses positioned to benefit from AI agent commerce.
Updated on Nov. 13, 2026 in Artificial Intelligence
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AI-referred traffic to Shopify stores rose eightfold year over year in the first quarter, and orders generated by AI search increased nearly 13-fold. a16z partners Olivia Moore and Justine Moore describe this shift as business-to-agent (B2A) commerce.
Why it matters
The framework suggests AI agents may increasingly influence product choices, subscriptions and spending, shifting how businesses reach customers. Companies across the value chain are being sorted by their relationship to these agents.
AI-referred traffic to Shopify stores rose eightfold year over year in the first quarter, and orders from AI search grew nearly 13-fold. The underlying baseline volumes and the share of total commerce these represent were not provided.
The players
Andreessen Horowitz (a16z)
A Silicon Valley venture capital firm that invests in software, AI and fintech companies.
Olivia Moore
A partner at Andreessen Horowitz (a16z) who co-authored the business-to-agent commerce analysis.
Justine Moore
A partner at Andreessen Horowitz (a16z) who co-authored the business-to-agent commerce analysis.
Chris Dixon
A general partner at Andreessen Horowitz (a16z) known for advocacy of crypto and stablecoin technology.
The details
The a16z framework groups businesses into four categories: companies building agent models, businesses creating new products enabled by AI agents, traditional businesses optimizing for AI agents, and providers of agent infrastructure. The model also adds a commerce angle to Chris Dixon's view of stablecoins as a means for AI agents to pay one another.
Timeline
First quarter: AI-referred traffic to Shopify stores rose eightfold year over year.
November 13: a16z published its analysis of the AI agent commerce framework.
The Tech Race
The framework extends Chris Dixon's argument that stablecoins could let AI agents pay one another into the territory of consumer purchasing. It positions commerce as the next layer beyond agent-to-agent payments.
If AI assistants increasingly recommend and purchase products, shoppers may see more buying decisions made through agents rather than search pages. Businesses that optimize their product data for these agents could gain visibility in those recommendations.
The takeaway
Businesses that treat AI agents as a new sales channel, rather than a search novelty, may be better positioned as agent-driven purchasing grows. Monitoring referral traffic from AI sources can help gauge that shift early.
Further reading
Explore more on Artificial Intelligence developments shaping how businesses sell online.
Source note: This article includes information reported by TokenPost.
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