Retail media used to mean a sponsored product slot on Amazon. In 2026, it increasingly means an AI agent doing the shopping for your customer, and deciding which products it recommends along the way. That shift is turning agentic commerce into one of the fastest-growing corners of digital advertising heading into the holiday season.
The numbers behind the shift
Retail media is no longer a niche line item. Industry projections put global retail media revenue above $176 billion by 2028, inside a global ad market estimated to top $1.14 trillion. The bigger signal is behavioral: more than 70% of shoppers now say they have integrated large language models like ChatGPT or Gemini into their shopping journey, whether that is comparing products, checking reviews, or asking for a recommendation outright.
Five ways AI agents are reshaping retail advertising
- Agentic commerce dominance. AI agents inside ChatGPT and Gemini are now a real product discovery channel. Winning here depends on clean, structured product data and real-time inventory and pricing sync, since an agent recommending an out-of-stock or mispriced item damages trust fast.
- Retailer-owned shopping agents. Amazon’s Rufus and Lowe’s MyLow are personalized AI agents built directly into the shopping experience, and they are opening new sponsored placement and recommendation slots for brands.
- AI-integrated retail media platforms. Ad platforms are adding AI-powered ad servers, vector search, and automated campaign creation. Walmart recently rolled out a conversational AI assistant to help retail media buyers optimize campaigns in real time.
- New entrants beyond traditional retail. Financial institutions and payment platforms are moving into advertising, competing on commerce-native shopper data rather than catalog size alone.
- Infrastructure is now the differentiator. Brands and retailers investing in agent-ready systems, the kind that support automation and AI-driven workflows, are the ones positioned to capture this spend as it grows.
What this means for small business marketing
You do not need an enterprise retail media budget to act on this trend. What matters is making sure your product and business information is something an AI agent can actually read and trust:
- Keep product names, prices, and availability accurate and consistent everywhere they appear online
- Use structured data markup on product and service pages so AI systems can parse details correctly
- Claim and keep Google Business Profile, marketplace listings, and review platforms current, since agents pull from these sources when making recommendations
- Treat this as part of holiday season prep now. Inventory and pricing sync issues that are minor in a slow month become lost sales when AI-driven shopping traffic ramps up in Q4
The takeaway
AI shopping agents are not a future trend anymore, they are already influencing which products get seen and bought. Businesses that treat their product data as an advertising asset, not just a catalog listing, will be the ones AI agents actually recommend.
Frequently Asked Questions
What is agentic commerce?
Agentic commerce refers to AI agents like ChatGPT, Gemini, or retailer-built assistants such as Amazon’s Rufus that search, compare, and recommend products on a shopper’s behalf, effectively acting as a new layer of product discovery and advertising.
How big is retail media expected to get?
Global retail media revenue is projected to exceed $176 billion by 2028, growing inside a global advertising market estimated at $1.14 trillion.
How can a small business optimize for AI shopping agents?
Keep product data accurate and consistent across your website and listings, add structured data markup, and make sure inventory and pricing stay synced in real time, since AI agents recommend based on what they can verify.
Do I need a big budget to compete in agentic commerce?
No. The immediate priority is clean, accurate, well-structured product and business information rather than ad spend, since that is what determines whether an AI agent trusts and recommends your business at all.