July 25, 2025
5 min read
Meghan Hall
Walmart unveils four AI super agents to simplify tasks for customers, associates, developers, and partners, enhancing efficiency across its ecosystem.
In a strategic move to simplify its expanding artificial intelligence ecosystem, Walmart announced plans to focus on four core "super agents" designed to streamline agentic AI experiences across its business.
Agentic AI refers to systems capable of handling tasks autonomously or near-autonomously, reducing routine workloads and enabling employees to focus on higher-value responsibilities. While AI agents have gained traction in large enterprises and consumer applications, widespread adoption remains limited.
Suresh Kumar, Walmart’s global chief technology officer and chief development officer, shared insights on the company’s evolving AI strategy in a LinkedIn post. He highlighted that Walmart has rapidly developed agents for various business functions but found that multiple competing AI systems can create confusion about which tool to use for specific tasks.
"Once we saw how quickly teams were adopting these agents and how helpful they were, we realized agents weren’t just useful, they were essential," Kumar wrote. "But we also recognized that multiple agents—even if each one is useful—can quickly become overwhelming and confusing."
To address this, Walmart is organizing its AI agents under four super agents, each targeting a key stakeholder group:
- Customer Super Agent: Building on Walmart’s existing customer support agent, Sparky, this agent will enhance capabilities such as reordering, seamless customer support, and effortless shopping experiences.
- Associate Super Agent: Designed to assist Walmart employees by analyzing sales trends, managing schedules, and more.
- Developer Super Agent: Aims to accelerate Walmart’s innovation by helping developers bring emerging technologies to market faster and at scale.
- Partner Super Agent: Known as Marty, this agent supports suppliers, third-party sellers, and advertisers with orders and business operations. These super agents will serve as umbrella systems housing smaller specialized agents. For example, instead of separate agents for in-store employee scheduling and real-time inventory tracking, both would be integrated under the associate super agent, providing a unified interface for users. Kumar indicated that Walmart plans to continue building more specialized agents within each super agent category, making these AI tools increasingly visible and integral to the company’s operations over the next year. "We’re not just adopting the tools of the future—we’re shaping them, leading with them and putting them to work for our customers, our partners and one another," Kumar emphasized. Walmart’s approach contrasts with competitors like Amazon, which also deploys AI tools such as its customer shopping assistant Rufus but has not formally introduced a super agent framework. Regarding potential job impacts, Walmart officials declined to comment directly on whether super agents might lead to job losses. However, Dave Glick, senior vice president of enterprise business systems, suggested that the initiative could create new jobs. Recently, Walmart appointed Daniel Danker, former Instacart chief product officer, as head of global AI acceleration, product, and design, reporting directly to CEO Doug McMillon. Meanwhile, industry leaders including Amazon CEO Andy Jassy have forecast that autonomous AI technology may contribute to a decline in jobs in the future. Originally published at Sourcing Journal on July 24, 2025.
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