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Shopify Exec: AI Shopping Agents Will Change Everything

Originally published on: March 16, 2026
▼ Summary

– Shopify’s president announced the company is fully committing to a new “agentic shopping” model, which will use AI applications as personal shoppers for consumers.
– Agentic shopping aims to act as a new front door for e-commerce by using AI agents to discover, compare, and buy products more effectively than traditional search.
– A key advantage cited is that these AI agents can provide highly personalized, context-aware recommendations based on deep user preferences, unlike current search engines.
– Shopify is building several AI tools for this shift, including an assistant for merchants called Sidekick and agents to handle customer support and understand merchant data.
– The company believes this agentic era will create significant opportunity by helping a wider range of merchants, especially smaller ones, get their products discovered by customers.

The future of online shopping is poised for a dramatic shift, moving beyond simple search bars to intelligent, personalized assistants. According to Shopify President Harley Finklestein, the company is making a major strategic bet on what it calls agentic shopping, envisioning AI-powered agents that will fundamentally reshape how consumers discover and purchase products. While only about 18% of U.S. retail currently happens online, Finklestein believes these intelligent agents will act as a powerful new gateway, significantly expanding the digital marketplace.

Speaking at a recent industry summit, Finklestein described these agents as next-generation personal shoppers. Unlike traditional search engines that often prioritize large, well-known retailers, AI shopping agents are designed to be merit-based and deeply contextual. He illustrated this with a personal example: when searching for athletic shoes, a standard engine might prominently display results from a major retailer like Footlocker. An agent, however, that learns his preference for the brand On would proactively surface options from that specific company, tailoring results to individual taste rather than generalized popularity.

This represents a potential leap forward in personalization. While current algorithms use browsing history, agentic systems aim to understand consumer preferences at a much more nuanced level. Finklestein argues that a chat-based AI assistant could become a more authentic shopping companion than human influencers, precisely because it isn’t driven by commission. Its sole purpose would be to connect users with products they are genuinely likely to want and enjoy, potentially surfacing emerging brands that often struggle for visibility in crowded digital marketplaces.

For the vast ecosystem of merchants on Shopify, this technology promises to level the playing field. Finklestein highlighted that many smaller sellers find it challenging to get their products discovered. Agentic shopping, he suggests, could play a “huge role” in introducing these brands to relevant customers, creating opportunity across the entire “long tail” of commerce, not just for the largest players.

Shopify is already building the infrastructure to support this vision. The company is developing an AI assistant for merchants named Sidekick, along with specialized agents to manage customer support and new protocols to help AI systems better interpret complex merchant data. Finklestein views agentic intelligence not as a replacement for existing retail systems, but as a powerful new component, another essential spoke in the broader retail machine.

The executive conveyed palpable excitement about this emerging era, stating it could generate unprecedented opportunity. By deploying AI agents that act as knowledgeable, unbiased shopping guides, the entire experience of finding and buying products online may soon become far more intuitive, personalized, and efficient for everyone involved.

(Source: TechCrunch)

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agentic shopping 98% e-commerce transformation 95% shopify strategy 93% AI Assistants 88% retail innovation 85% merchant discovery 82% search engines 80% personalized shopping 78% tech events 75% online retail 73%