Shopify bets big on agentic AI to transform online shopping
Shopify is building for a future where AI agents drive e-commerce.
Shopify is gearing up for a major transformation—one that could reshape how consumers discover, compare, and buy products online. At the Upfront Summit in Los Angeles, Shopify President Harley Finkelstein shared the company’s bold vision for “agentic shopping,” calling it a fundamental evolution in retail experiences.
This article explores how Shopify is embedding AI agents into the shopping journey, why that matters for marketers, and what brands should do to prepare for this new paradigm.
With only 18% of US retail sales happening online today, Shopify sees agentic AI as a long-term unlock—both for consumers and the long tail of sellers on its platform.
Short on time?
Here’s a table of contents for quick access:
- What happened: Shopify’s agentic shopping play
- How agentic AI agents are reshaping retail
- What marketers should know
- Key implications for e-commerce teams
Patrecia Meliana
What happened: Shopify's agentic shopping play
At the 2026 Upfront Summit, Shopify President Harley Finkelstein laid out a bullish case for the future of AI in commerce. The core thesis: agentic shopping will become the new front door for digital retail.
Rather than relying on traditional search or ad funnels, consumers will increasingly use AI-powered personal shoppers to discover and buy products. These AI agents won’t just match keywords; they’ll act on learned preferences, behaviors, and brand affinity to deliver better product recommendations.
Finkelstein gave a personal example: instead of a search engine defaulting to mass retailers like Footlocker when he looks for sneakers, his AI agent would prioritize On running shoes—a brand he actually wears. In theory, agentic systems will outperform traditional discovery tools by providing merit-based suggestions tied to user context.
While some of this capability mirrors today’s personalized search and recommendation engines, Shopify believes agentic AI will bring deeper contextual awareness and execute full transactions autonomously.
“We’re going to begin to use these agentic applications as these kinds of personal shoppers,” said Finkelstein. “They’re only going to show you the things they think you are most likely to purchase.”
Patrecia Meliana
How agentic AI agents are reshaping retail
Shopify isn’t just talking about AI—it's building infrastructure for it. The company is already rolling out tools that allow merchants to connect with agentic interfaces like ChatGPT, Gemini, and Microsoft Copilot.
Here’s how agentic commerce is evolving across key functions:
- Personal shopping agents: Consumers interact with AI agents that act on their behalf—finding products, comparing prices, and completing purchases within chat interfaces.
- Agentic Storefronts: Shopify’s early-access tool that lets merchants list and sell products directly through AI platforms, with transactions handled within the conversation.
- Shopify Knowledge Base: Allows merchants to define how agents respond to key customer queries like return policies or shipping terms.
- Autonomous purchasing: With partners like Visa and Google testing agent-led payment protocols, the next step is allowing a user’s AI agent to complete purchases within a set budget and rules.
Shopify’s senior developer Alex Pilon describes these agents as “purpose-specific configurations of AI”—each tuned to complete a particular business task. Think: a support agent that fields sizing questions, a marketing agent that writes and deploys campaigns, or a backend agent that forecasts inventory needs.
Retail brands like Naadam and Ridge are already deploying AI agents to handle up to 60% of support tickets or autonomously generate marketing content at scale.
Patrecia Meliana
What marketers should know
The rise of agentic shopping is more than just a tech upgrade—it’s a distribution shift that alters how products are found and purchased. Marketers should consider these strategic moves:
1. Prepare your product catalog for agent discovery
Make sure product metadata, customer reviews, and brand content are structured and accessible to AI agents through platforms like Shopify’s UCP.
Atikah Amalia
2. Invest in agent-ready content
Update return policies, sizing guides, and FAQs in a way that’s clear, structured, and easy for AI to interpret.
Atikah Amalia
3. Build trust with AI agents
Agentic recommendations will likely depend on data quality and brand trust. Consistency in customer experience, ratings, and fulfillment can increase your visibility in agent-driven shopping results.
4. Use AI agents internally first
Start by deploying AI agents for support or campaign generation. This helps build internal familiarity with agentic workflows before going customer-facing.
5. Monitor agent-led platforms
Track performance across AI-native storefronts and identify what queries or intents are driving agentic traffic to your products.
Key implications for e-commerce teams
Shopify’s push into agentic shopping underscores a few critical shifts for marketers and e-commerce operators:
- Discovery is moving out of traditional channels: AI agents may become the first touchpoint, bypassing Google or social altogether.
- Commerce is getting embedded in conversation: Expect checkout experiences inside AI interfaces, not just on your site.
- Merchants need agent visibility: Without optimizing for agent discovery, your brand risks being left out of high-intent queries.
- Long-tail sellers could benefit: As agents prioritize merit over marketing spend, smaller brands with relevant products may gain visibility.
Shopify’s bet on agentic shopping isn’t just hype—it’s a long-game strategy to redefine how e-commerce works. As conversational AI becomes more capable and commerce gets embedded into chat interfaces, the brands that adapt early will likely gain a lasting edge.
Marketers should think of AI agents not just as tools but as a new layer of customer interaction. With the infrastructure now forming around agent-led shopping, the clock has started for brands to prepare.
