How AI shopping agents could reshape hardline, broadline and food retail - UBS

The adoption of AI shopping agents could fundamentally reshape the U.S. retail landscape, according to analysts at UBS. These agents, exemplified by Meta's Muse, have the potential to give consumers unprecedented control over their purchasing decisions. By leveraging AI, households could compare prices, discover cheaper alternatives, manage subscriptions, and automate routine purchases.

This could lead to increased effective disposable income and potentially bolster discretionary spending, even if the savings are relatively small.

The most significant disruption may lie in who controls the customer relationship. Shopping agents could take over tasks such as product discovery, comparisons, and recommendations, prompting retailers to compete more directly on price, service, availability, and fulfilment. Over the short term, revenue risks appear limited as consumers will continue purchasing groceries, electronics, and household products.

However, profitability may face greater exposure if agents bypass sponsored listings, promotional placements, impulse purchases, and retail-media advertising, which typically yield higher margins than traditional merchandise sales.

Hardline retailers, such as those selling electronics, furniture, appliances, and home-improvement products, may experience heightened price transparency due to the software's ability to easily compare specifications. Retailers offering additional services like installation or technical expertise could retain defensive advantages.

Broadline retailers, including giants like Walmart, Target, and Costco, possess scale, pricing, and fulfilment capabilities. However, their primary challenge may stem from protecting advertising revenue and maintaining the broader ecosystem economics, rather than simply preserving sales volumes.

Food retail presents a distinct dynamic. Grocery purchasing is repetitive and well-suited for automated basket-building, meal planning, and replenishment, making it a promising use case for AI agents. Physical store preferences, fresh-food choices, and entrenched shopping habits could, however, impede the transition. The adoption of AI agents in food retail remains uncertain, with privacy, safety, and consumer trust serving as potential constraints.

Currently, consumers seem more comfortable using AI for research and comparisons rather than entrusting software with independent purchases.