Consultancy research from BCG suggests high retail ambition: 67% of surveyed retailers plan to enrich their product data for AI shopping agents within two years, while 58% intend to provide real-time availability to those same agents. This research, which draws from a sample of 50 of the top 300 global retailers and 100 of the top global brands alongside interviews with industry leaders, indicates a sector preparing for a shift. However, these figures represent stated intent rather than current operational reality. BCG publishes global figures; there is no U.S. breakout.
When examining what has shipped, the gap between planning and execution is stark. According to the Global Digital Shopping Index from PYMNTS Intelligence and Visa, most merchants expect AI agents to influence shopping, payments, and loyalty, yet few can identify AI-driven traffic or purchases. The infrastructure underneath those expectations is thinner still. Only 11% of small and medium merchants and 19% of large merchants currently qualify as agent-ready. Only 15% of merchants possess the structured product data required for agents to function, and a mere 23% can distinguish AI traffic from human traffic. The mirror image appears on the merchant side: roughly 68% of merchants anticipate AI agents will drive at least 5% of their digital sales within two years — against that same thin data layer. These metrics, consistent with our previous analysis of merchant readiness, suggest that the majority of the retail sector is currently unable to support the agentic commerce stack.
The current merchant posture map shows varied approaches. While some players like QVC are actively feeding catalogs to OpenAI and Google, others remain hesitant. Kate Spade allows browsing but blocks purchase functionality, and Amazon continues to block Muse entirely.
Shopify serves as a counter-example of a shipped, default-enabled state. By integrating Agentic Storefronts, the platform provides merchants with out-of-the-box access to ChatGPT, Microsoft Copilot, AI Mode in Google Search, and the Gemini app, with no separate integrations required. Orders flow back with the merchant remaining the merchant of record. As Mani Fazeli, VP of Product at Shopify, noted in the company’s March 2026 announcement, “Agentic commerce isn’t something we’re reacting to; it’s a vision we’re bringing to life at the very frontier of commerce and AI.”
The friction is not solely on the supply side. Consumer behavior data from the ChannelEngine Marketplace Shopping Behavior Report 2026 shows that while 58% of shoppers have used AI tools to research products, only 17% feel comfortable purchasing directly through them. This trust-funnel analysis highlights the significant psychological barrier that must be overcome.
The industry is now facing a hard deadline: the November 2026 clock. The convergence of three events creates a forcing function for the sector. First, the Apple HomeView, priced at $299, begins availability on November 13. Second, the Wells Fargo Online Access Agreement, effective November 24, explicitly addresses third-party AI agents, stating that transactions are “deemed to have been initiated and authorized directly by you” and that use of any AI agent is “AT YOUR OWN RISK.” The section applies to any AI agent a customer connects to the service. Finally, Black Friday arrives on November 27. As detailed in our analysis of the November deadline, this sequence forces a collision between holiday peak traffic and a shifting liability landscape.
To move beyond stalled intent, the industry requires more than roadmaps. The situation will change when a critical mass of merchants moves from planning to shipping. This requires solving underlying data structure issues and providing a clear answer to the liability question. Until retailers can reconcile the risks of automated transactions with consumer demands, the agentic commerce stack will remain a collection of plans rather than a functional reality.
