U.S. E-commerce Enters the Era of AI Shopping and Agentic Commerce
eMarketer says AI-driven commerce is expected to grow from under $50 billion in 2026 to nearly $300 billion by 2030, potentially reaching about 15% of U.S. e-commerce sales.
What are the key facts?
- 1U.S. e-commerce is entering an AI-driven shopping and agentic commerce phase
- 2AI-driven commerce is expected to approach $300 billion by 2030
- 3AI-driven commerce could account for about 15% of U.S. e-commerce sales
- 4Sellers need to assess whether product information can be recognized by AI shopping tools
What happened?
The U.S. e-commerce market is entering a phase of AI-powered shopping and agentic commerce. In an analysis published on September 16, 2026, eMarketer said the value of AI-driven commerce is expected to grow from under $50 billion in 2026 to nearly $300 billion by 2030, while its share of U.S. e-commerce sales could rise from about 3% to about 15%. This is not an immediate fee policy introduced by Amazon, Walmart, or eBay, but it may affect how cross-border brands prepare for operations, including structured product data, titles and attribute fields, inventory and price interfaces, and off-site content and product information that AI assistants can read. For sellers relying on organic search traffic, advertising traffic, or multi-platform distribution, future priorities should extend beyond traditional keyword rankings to assessing whether product data can be accurately recognized by AI shopping tools.
What does this mean for cross-border sellers?
This is not an immediate fee policy from Amazon, Walmart, or eBay, so sellers do not need to adjust fee budgets now. The more immediate consideration is whether structured product data, titles and attributes, inventory and price interfaces, and off-site content can be accurately recognized by AI shopping tools. Add data-readability checks alongside traditional keyword-ranking reviews.
What should sellers do now?
- 1This week, create an AI-readability checklist for key categories on the U.S. site and review titles, attributes, variants, and off-site product descriptions item by item; use ai-listing to review and export issues, and complete one revision for every priority listing.Listing Optimizer
- 2This week, organize inventory, price, and product-attribute fields for priority listings across platforms into an updateable table by store and product; flag missing or inconsistent items one by one, compile a correction list, and complete a review.Procurement List