📌 Walmart’s Slowing Growth Tests Its AI Premium
The key issue Walmart now faces is not whether its AI tools are appealing, but whether they can sufficiently offset the slowdown in core retail growth. U.S. same-store sales rose only 2.6%, below expectations of 3.8% and down to a six-year low. For a retailer that has earned a high valuation through scale and steady growth, this first means that its primary revenue engine is weaker than expected.
The share price fell about 10% after the earnings report, reflecting that investors have begun reassessing the price of this growth. Previously, Walmart’s price-to-earnings ratio was at one point about twice that of each “Mag 7” company other than Tesla; afterward, its share price also pulled back 22% from its all-time high. A high valuation is not necessarily wrong, but it requires the company to continue delivering strong operational improvements. When core same-store sales lose momentum, valuation compression amplifies pressure on the share price.
Sparky provides a positive indicator worth continuing to track: users’ spending per order is 40% higher, and usage increased 70% year over year. This suggests that AI shopping tools may help raise average order value, meaning the amount each customer spends per purchase. But this is still data from a specific user group, and it cannot directly prove that overall same-store sales have been lifted, much less that profits and cash flow have improved in tandem.
The next verification focus is clear: whether the higher order values brought by Sparky can expand to a broader user base and ultimately be reflected in overall sales and profitability. Before then, AI-driven revenue growth looks more like early evidence, still insufficient to replace a recovery in core consumer growth.
▌ Sources