Retail is getting a first principles upgrade due to AI or lack thereof.
Shopping transformation looks less like a better e-commerce search bar and more like something out of science fiction. It is an operating layer populated with bots that autonomously mediates between consumer intent and transaction execution.
This week’s headlines from Amazon and Walmart He emphasized that AI shopping and its next generation, agented commerce, are moving retail innovations from customer convenience to discoverable programmability.
Amazon, for example, uses Alexa Shopping to Helping consumers finds Prime Minister’s Day Deals, compare products, track prices, set Deal alerts And automatically purchase items when they reach your target price. Walmart and GoogleAnd, at the same time, connected twin‘s Conversational interface To Walmart and Sam’s Club Products, store inventory, membership benefits, account history, and fulfillment options.
The next shift in the retail platform may not be about better search, faster delivery or lower prices. It might be a matter of a company that can make its inventory, loyalty logic, payments, and fulfillment promises readable to AI agents before a shopper even opens a cart.
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Artificial Intelligence is transforming retail competition before the shopping cart even existed
For decades, retailers have optimized physical shelves, Google search results, Amazon marketplace rankings, mobile apps, and social feeds. AI shopping is changing the surface. A consumer may not search for “paper towels” or “headphones.” They may ask a question.
“What do I need for a backyard party?”
“How can I lower my weekly grocery bill?”
“What should I buy before a trip with children?”
These claims are not SKUs. They are cases.
the PYMNTS INTELLIGENCE a report “Cart Detachment: How Amazon is Turning Walmart Store Traffic into Retail Double“It put out hard numbers on the ongoing transformation in retail. As of the first quarter of 2026, Amazon accounted for 9.3% of U.S. consumer retail spending, up from 8.6% a year earlier, while Walmart accounted for 7.8%, unchanged from the previous year. Amazon led in four out of seven major retail categories, including sporting goods & hobbies, music & books, electronics & appliances, furniture & home furnishings, and apparel & apparel. Walmart’s strength remained concentrated in food, beverages and auto parts.
Amazon’s AI shopping push is designed around a closed-loop feature. Alexa for Shopping can help consumers discover deals, compare products, track price history, set alerts, and automatically purchase an item when it reaches a customer’s target price. The last feature is the signal. Automated purchasing turns shopper preferences into an actionable rule.
Walmart’s move with Google points in a different direction. The Walmart-Gemini integration is designed to showcase Walmart and Sam’s Club products when appropriate within the conversational AI experience. Customers can see items during a back-and-forth conversation, with linked accounts bringing purchase history, membership benefits, local availability and delivery options.
Amazon wants the assistant to become the cart. Walmart wants its retail network to be visible wherever consumer intent begins. This distinction is important.
Amazon’s model vertically integrates with Assistant, Marketplace, Prime, payments credentials, fulfillment, reviews, ads, and post-purchase service. The Walmart model is becoming more prevalent in department stores, clubs, grocery and local inventory, Walmart+Sam’s Club, and third-party AI discovery.
The retail shelf has become an application programming interface (API).
Read also: Amazon and Walmart are competing to become the most powerful data broker in retail
Proxy shopping makes trail evidence even more important
When the purchase process begins within an AI conversation or is handled agentically at one or all stages of the shopper’s journey, it creates a new type of retail infrastructure problem. Product data should answer questions, not just fill product pages. Inventory must be local and current, substitution rules must be clear, and offers must be interpretable. Loyalty benefits must be transferable, while payments must support transactions that begin with a conversation and end with a retailer-controlled checkout.
This is not back office trivia. It impacts disputes, chargebacks, fraud claims, returns, market accountability, and regulatory audits.
- Amazon Edge:
- If consumers allow Alexa to monitor prices, replenish food staples, or make purchases based on pre-defined rules, Amazon captures intent before a transaction takes place. The cart becomes less important than the instructions.
- Walmart Edge:
- If Gemini can understand Walmart’s store inventory, club pricing, grocery availability, speed of delivery and membership benefits, Walmart can win situational commerce, including tonight’s dinner, family inventory, event shopping, pharmacy runs, and urgent replenishment.
- Risks:
- Amazon’s closed loop may be less portable if consumers begin more shopping trips in third-party AI environments.
- Walmart can become the fulfillment endpoint while Google has the discovery layer.
PYMNTS intelligence data shows that 47% of E-commerce Shoppers used AI during their last purchase. ChatGPTThe same data showed that Amazon’s share as a product research tool rose from 2% to 30% within two years.
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