E-Commerce Giants Accelerate AI Shift — Decoding Amazon, Walmart, and Costco's 2026 Strategies

What Three U.S. E-Commerce Giants' Earnings Reveal About AI-Driven Growth

E-commerce Giants 2026: Amazon's AI Focus, Walmart & Costco Digital Surge

A look at retail performance in early 2026, covering Amazon's market shift toward AI, Walmart's 27% U.S. e-commerce growth, and Costco's 23% rise in digitally enabled sales.

In early 2026, Amazon, Walmart, and Costco — the three companies driving the U.S. e-commerce market — released their quarterly earnings in succession. Each report prominently featured AI investment and digital commerce growth. What stands out is that all three companies have positioned "transforming the purchase experience" through AI assistants and personalization as their growth engine. Their strategies differ markedly, making them key indicators of the direction for the entire e-commerce industry.

Industry Landscape

As of 2026, the U.S. e-commerce market has clearly transitioned from simply "being able to buy online" to a phase where "AI guides optimal purchasing." While Amazon holds a dominant ~40% share of the U.S. e-commerce market, the market has increasingly begun valuing AI development capabilities over e-commerce operations. The stock price decline following its latest earnings reflects a structural shift where investors have started evaluating Amazon as an "AI company" rather than an "e-commerce company."

Meanwhile, Walmart and Costco are leveraging their physical store networks to build "hybrid" growth models that fuse e-commerce with AI. The competitive dynamics among these three companies symbolize the broader AI shift across the e-commerce industry.

Three AI Strategies — Different Approaches, Tangible Results

Amazon: Rufus Contributes $10 Billion in Annual Revenue

Amazon's AI assistant "Rufus" acquired 250 million active users in less than two years since its February 2024 beta launch. Customers who use Rufus have a 60% higher purchase completion rate compared to non-users, and Amazon estimates an annual revenue uplift of $10 billion.

Rufus leverages the entire product catalog, customer reviews, and Q&A content as training data. Its "Help Me Decide" feature algorithmically guides indecisive consumers through to purchase. Annual operating profit including advertising revenue is projected to reach $1.2 billion by 2027. Amazon has also raised capital expenditure to $125 billion, continuing massive AI infrastructure investment led by "Project Rainier" — an $11 billion data center for training Anthropic's AI models.

Walmart: AI Assistant "Sparky" Drives 35% Higher Order Value

Walmart reported U.S. e-commerce sales up 27% year-over-year in fiscal Q4 2026 (ending January 2026). Same-day delivery usage increased 60%, and Walmart+ membership revenue grew 15%.

The key driver of this growth is "Sparky," an AI shopping assistant launched in June 2025. CEO John Furner revealed during the earnings call that Sparky users' order values are approximately 35% larger than non-users'. About 50% of app users engage with Sparky, which is characterized by product suggestions aligned with "life purposes" such as planning birthday parties or camping trips.

For AI development, Walmart has adopted a partnership strategy with OpenAI and Google rather than going it alone. Combining the largest physical store network in the U.S. with AI, Walmart has built an end-to-end flow of "AI suggests, same-day delivery fulfills" — a key differentiator from pure-play e-commerce companies.

Costco: Personalization Generates $470 Million in Revenue

Costco reported 9.1% year-over-year revenue growth in fiscal Q2 2026 (ending mid-February 2026), with digitally enabled sales up 23%, demonstrating solid digital growth. App visits increased 63%, site traffic rose 35%, and average order value grew 15%.

Particularly noteworthy is the fact that personalized product recommendation carousels generated over $470 million in e-commerce sales in a single quarter. By introducing product suggestions based on members' search history, Costco has strengthened the purchase experience across both digital and in-store channels. CEO Ron Vachris has articulated a digital vision of "delivering an easier, faster, and more personal experience regardless of where or how members shop."

Impact and Strategies for E-Commerce Businesses

The biggest message from these three earnings reports is that the evidence is now in: AI assistant-driven purchases consistently deliver higher order values and higher conversion rates than traditional purchases. The actions e-commerce businesses should take can be distilled into three priorities.

Prioritize structuring product data. Amazon's Rufus uses the entire catalog and customer reviews as training data. If product names, descriptions, and reviews are not well-maintained, products will not even be considered for AI assistant recommendations. Marketplace sellers should prioritize product data optimization, considering that Rufus-eligible products are projected to expand to $849.8 billion by 2027.

Design "purpose-based" product suggestions. As Walmart's Sparky has demonstrated, consumers shop with goals like "going camping" or "throwing a birthday party." Rather than individual product pages, suggestions and bundles tied to usage scenarios are effective.

The ROI of personalization investment is proven. Costco's case shows that personalized recommendations can generate over $470 million in quarterly revenue. It is worth considering deploying AI-based recommendation engines for your own e-commerce operations.

Conclusion

The early 2026 earnings from Amazon, Walmart, and Costco clearly signal the arrival of the "results phase" for AI adoption in e-commerce. AI assistants have moved beyond the experimental stage and are beginning to function as growth drivers directly tied to revenue.

Going forward, the key developments to watch are the global expansion of Walmart's Sparky and the evolution of Amazon's Rufus advertising revenue model. In an era where AI sits at the center of the purchasing process, competitiveness for e-commerce businesses increasingly comes down to one question: how well can you optimize your products and services for AI?