U.S. Hardlines Retailers to Watch as AI Agents Reshape Shopping Landscape

UBS identified Walmart, Target, Costco, Home Depot, Lowe's, and Kroger as relatively well positioned for AI-powered shopping agents, citing scale, fulfillment, pricing power, differentiated offerings, and service capabilities. UBS views near-term revenue risk as low, but flags a longer-term threat to retailer profit pools as AI agents could bypass sponsored search and high-margin retail-media advertising. Costco's membership-led value proposition and Home Depot's and Lowe's installation and technical expertise are highlighted as particularly defensive differentiators.

Analysis

The investable issue is not AI-driven unit demand but the ownership of the retail profit pool. Retail media has become a disproportionately important source of incremental EBIT for WMT, TGT and KR; agent-led purchasing can reduce the scarcity value of sponsored placement if the agent optimizes total basket cost rather than merchant-paid ranking. Over the next 6-18 months, this creates a valuation distinction between retailers whose economics depend on discovery monetization and those whose customer proposition is intrinsically difficult to standardize.

COST is best positioned because membership fees and limited-SKU treasure-hunt economics are less exposed to paid digital discovery, while its perceived value proposition should translate well into machine comparison. WMT has superior logistics and assortment, but its higher retail-media expectations make margin mix more vulnerable than consensus suggests. TGT has the least room for advertising-margin disappointment given weaker traffic momentum and less pricing authority; AI agents could intensify its comparison disadvantage rather than solve it.

HD and LOW are structurally more defended than broadline retail because project completion, pro relationships, delivery reliability and installation attach rates cannot be reduced to a lowest-price SKU search. The relative winner is likely HD, where pro penetration and supply availability support conversion after the agent identifies the product; LOW remains more exposed to consumer discretionary repair/remodel demand. KR has automation upside in recurring baskets, but agent-driven transparency could accelerate price matching and pressure already-thin gross margins unless digital fulfillment economics improve.

This is not a near-term earnings catalyst: consumer adoption, agent permissions and merchant integrations will be gradual. Consensus may overreact to traffic-disintermediation while underestimating the more relevant metric—retail-media revenue per order and gross-margin rate. Monitor quarterly retail-media growth, digital mix, fulfillment cost per order and management disclosures on agent/API partnerships; a deceleration in ad growth without offsetting fulfillment leverage would falsify the benign view.

Key Decisions for Investors

• Maintain or initiate a 6-12 month long COST / short TGT pair. The thesis is relative multiple resilience from membership-led economics versus TGT's greater dependence on traffic recovery and higher sensitivity to comparison-driven pricing; reassess if TGT shows sustained comparable-sales outperformance and retail-media growth above core digital growth for two quarters.
• Prefer HD over LOW for home-improvement exposure over 6-18 months. Buy HD on housing-rate-driven pullbacks rather than treating AI as an immediate catalyst; the trade fails if HD's pro sales and services/installation attachment weaken materially relative to LOW.
• Reduce incremental WMT exposure into strong AI-commerce enthusiasm unless retail-media disclosures demonstrate that agent-originated orders retain equivalent advertising yield. WMT remains operationally advantaged, but the risk is margin-multiple compression—not a material sales loss—if high-margin ad inventory is bypassed.
• Keep KR as a watch item, not a directional AI trade. A long case requires evidence that automated recurring baskets raise digital order density and reduce fulfillment cost faster than gross-margin pressure from price transparency; monitor identical-sales growth, digital profitability and gross-margin guidance over the next 2-3 earnings reports.