Walmart Inc. (WMT) Earnings

Management highlights

- Role and Organizational Alignment * The new EVP AI Acceleration and Product Design role sits at the executive council level, embedded alongside business and global functional teams to prioritize AI-driven growth and speed across the entire organization * Walmart frames its business as people-led and tech-powered, and invests in technology at the scale of a technology company, with AI discussion permeating all executive leadership meetings * Contrary to common expectations of large slow-moving bureaucracies, Walmart executes quickly due to its daily customer-first retail mindset and competitive culture - AI Priority Framework * While Walmart maintains a permanent focus on operational efficiency to deliver low customer prices, growth is the primary priority for AI investment * Generative AI unlocks new customer experiences Walmart has been unable to deliver for years, creating entirely new avenues for topline expansion - Agentic Commerce Strategy * Walmart distinguishes between robotic commerce (full automated shopping for routine chores) and agentic commerce, which powers connected, assisted shopping experiences rather than fully replacing human customer choice * Sparky, Walmart's in-house conversational shopping agent, is currently live within the Walmart app, with an integration to external large language models (LLMs) like ChatGPT launching imminently * Sparky will be embedded directly within third-party LLM environments, controlling the full personalized shopping journey, order bundling, pricing, and checkout, rather than relying on disjointed deep linking to the Walmart app

Guidance

No formal quantitative financial guidance was provided in this transcript. Qualitative forward-looking statements include: - The current native checkout experience for Walmart purchases within ChatGPT is temporary, and will be replaced by a fully integrated Sparky experience within one month - Walmart is iterating rapidly on Sparky functionality, rolling out new customer-centric AI capabilities to test which features resonate with shoppers - New immersive capabilities like personalized AI clothing visualization (showing apparel on the customer, not generic models) are under development and will be launched to customers soon

Segment performance

No financial performance data for product segments was provided in this transcript.

Risks & headwinds

- Slow customer adoption of new AI-powered shopping technology is a key barrier; current hype around AI is ahead of where many customers are in their adoption journey, requiring intentional, customer-paced rollout - Rushing low-quality AI features to market can damage customer experience; Walmart prioritizes building reliable, high-functioning AI capabilities over rapid launches of unpolished tools - A future shift to fully automated robotic commerce (where AI makes all purchase decisions without human input) could reduce advertising revenue opportunities, though this is seen as an unlikely long-term scenario that does not align with observed human shopping behavior

Analyst Q&A

• Q: Is agentic e-commerce positive for Walmart, and will it expand the overall commerce market? /

  A: Agentic e-commerce is good for Walmart because it automates routine replenishment shopping chores that customers dislike, while freeing up time for more personalized, engaging product discovery. It replicates the immersive in-store shopping experience online in a way that was impossible with older e-commerce technology, and expands the market by unlocking entirely new shopping occasions that were not previously served by traditional online search-based shopping. Unlike common framing that agentic commerce means fully automated shopping, Walmart sees most shopping as a human-centric activity people enjoy, so agentic commerce will assist rather than replace customer choice, expanding rather than cannibalizing existing commerce.\n\nQ: Is Walmart at risk of disintermediation when customers shop via external LLMs like ChatGPT? / A: Current experiences that route customers away from Walmart to purchase are temporary, and the upcoming integration will embed Walmart's Sparky agent directly within external LLM environments. Sparky will control the full personalized shopping journey, leveraging existing customer data (order history, membership status, current in-app cart items) to deliver a unified, connected experience that works fluidly across external LLMs and the Walmart app. Rather than disintermediation, this model intermediates the full experience for customers and extends Walmart's reach into non-commerce-originated search queries that lead to purchases, creating additive new traffic.\n\nQ: Why will Walmart win in the agentic commerce ecosystem compared to other retailers? / A: Walmart's core customer value proposition aligns with the incentives of both customers and external LLMs: it offers an unmatched assortment of half a billion items across stores and marketplace, low everyday prices, fast fulfillment, and decades of built customer trust. External LLMs need to satisfy customer needs to retain users, so they will prioritize surfacing Walmart products that deliver on these key metrics, which has already been observed in early integrations where Walmart appears frequently in commercial search results.\n\nQ: How does agentic commerce impact Walmart's high-margin retail media business? / A: Walmart's retail media business is fundamentally paid for driving customer conversions, not just serving display impressions, so the model works across all surfaces where Walmart engages customers. As long as Sparky controls product selection, ordering, and personalization within agentic experiences (whether inside the Walmart app or embedded in external LLMs), Walmart retains the ability to deliver relevant sales for advertisers and capture associated retail media revenue, just as it does in traditional e-commerce channels. New agentic-driven shopping occasions also create new incremental advertising inventory opportunities.