Key Takeaways:
Wall Street analysts are forecasting a seismic shift in retail, where artificial intelligence-powered personal shoppers could significantly bolster profits for major brands like Nike (NKE), TJX (TJX), and Gap (GAP) by steering consumers toward direct sales channels.
"The shift toward agentic AI could provide a boost for companies," Bernstein analyst Aneesha Sherman said, arguing that it puts brands back in the driver’s seat by lowering their "dependence on multi-brand retail and [improving] their margins and access to customer data."
The core of the argument is a structural margin uplift. Brands typically earn about 10 percentage points more on products sold directly to consumers compared to those sold through wholesale partners like department stores. Analysts see AI agents, which can autonomously research and purchase goods, as the key to scaling these high-margin direct sales. Bernstein has given Outperform ratings to Nike and TJX, among others, based on this thesis.
By 2030, a majority of adults will use agentic AI to shop, making it the primary way people search for items, according to Sherman’s report. This change could fundamentally reroute the path to purchase, diminishing the power of traditional multi-brand retailers and giving more control, and profit, to the brands themselves.
This emerging trend, dubbed "agentic commerce," represents the biggest shift in the sector in 20 years, according to a recent Accenture report. The consulting firm’s research, which simulated 50,000 synthetic consumers, concluded that within 18 to 24 months, up to 45 percent of shoppers will conduct at least half of their commerce activities through agent-mediated ecosystems. These AI agents evaluate structured data and execute purchases based on reliability and features, not emotional appeals, making a brand's digital infrastructure paramount.
Companies are already building the foundation for this new era. E-commerce provider VTEX (VTEX), for example, recently launched what it calls the "first AI-native commerce suite," designed to automate everything from catalog management to order processing. "We are moving beyond the traditional Software as a Service model," VTEX CEO Geraldo Thomaz Jr. said on a recent earnings call, highlighting the platform's ability to autonomously optimize sales for its clients.
However, the transition is not without its challenges. UBS analyst Jay Sole, who also sees AI as a net positive for retailers like TJX and Gap, notes that the industry is still in the "very early innings" of adoption.
Furthermore, the massive demand for AI is straining the global supply chain for components like memory and processors, a phenomenon some have called "RAMageddon." This is driving up costs for the very hardware that powers AI and could impact consumer spending on electronics. "Constraints and rising prices around key components... are driving higher costs that could impact demand," Intel CEO Lip-Bu Tan said recently.
This is compounded by a mixed macroeconomic picture. The Trade Desk (TTD), a digital advertising platform, noted in its recent earnings that key sectors like consumer packaged goods and automotive faced continued headwinds from geopolitical uncertainty and consumer softness, which could temper the pace of AI-driven growth.
The analyst reports from Bernstein and UBS suggest that strong, well-capitalized brands are best positioned to navigate these crosswinds and emerge as winners. The focus now shifts to which companies can most effectively harness AI to build direct relationships with customers. Investors will be closely watching upcoming earnings reports for signs of margin expansion and commentary on AI strategy.
This article is for informational purposes only and does not constitute investment advice.
