Walmart, the world’s largest retailer, has announced an ambitious initiative to imbue its entire global workforce of 2.1 million associates with a foundational understanding and practical skills in artificial intelligence (AI) over the coming years. This monumental undertaking, spanning from its sophisticated tech teams to its iconic in-store greeters, underscores a strategic pivot towards a "people-led, tech-powered" operational philosophy, as articulated by Donna Morris, Executive Vice President and Chief People Officer, at the prestigious MIT Technology Review’s EmTech AI summit. The announcement marks a significant commitment to human capital development in an era increasingly defined by technological advancement, positioning Walmart at the forefront of workforce readiness for the AI age.
The initiative is not merely a superficial training exercise but a deep integration of AI literacy into the company’s core operational fabric. Morris emphasized that the goal is to cultivate a pervasive understanding of AI, viewing it as a new form of literacy essential for navigating the modern retail landscape. This strategic investment in its workforce reflects Walmart’s conviction that human ingenuity, when augmented by cutting-edge technology, remains the ultimate driver of value creation and customer satisfaction. The company’s proactive stance aims to ensure that its vast employee base is not only prepared for but actively participates in shaping the future of retail.
A Proactive Response to the Generative AI Revolution
Walmart’s intensified focus on AI began in earnest with the widespread emergence of generative AI technologies in the fall of 2022. The rapid evolution and accessibility of tools like large language models (LLMs) served as a catalyst for the retail giant to refine and accelerate its long-standing AI strategy. Prior to this, Walmart had already been exploring various applications of machine learning and AI to optimize logistics, inventory management, and personalized customer experiences. However, the advent of generative AI presented new opportunities for internal efficiencies and enhanced associate capabilities, prompting a comprehensive re-evaluation of its technological roadmap.
By 2023, Walmart had swiftly developed and launched an internal platform designed to allow its associates to experiment hands-on with AI tools. This initial phase was crucial for fostering an environment of innovation and familiarizing employees with the potential of AI. Building on these foundational efforts, the company has since streamlined its AI portfolio, establishing four distinct "agent platforms." These platforms leverage a strategic blend of custom-built proprietary models and external large language models, showcasing a pragmatic approach to AI deployment that capitalizes on both internal expertise and external innovation. While Walmart boasts a formidable tech team comprising over 35,000 individuals, the mandate from leadership is clear: AI’s influence must permeate every facet of the organization, transcending traditional technological silos.
Empowering Associates through Tailored AI Certifications
Central to Walmart’s AI upskilling initiative is "Squiggly," the company’s associate-facing internal platform. Through Squiggly, Walmart offers specialized, role-specific AI certifications developed in collaboration with industry leaders OpenAI and Google Gemini. These partnerships are significant, granting Walmart associates access to state-of-the-art AI models and training methodologies from two of the most prominent players in the generative AI space. The certifications are currently available to approximately 1.7 million associates across the United States and Canada, representing a substantial portion of Walmart’s total workforce.
The objective of these tailored training programs is to integrate "agentic AI" into associates’ daily workflows in ways that effectively minimize friction and enhance productivity. For instance, a front-of-house store associate might utilize an AI agent to quickly locate specific items within the store’s extensive stockroom, significantly reducing search times and improving customer service responsiveness. Similarly, an AI-powered translation tool could bridge language barriers, enabling associates to communicate more effectively with customers who speak different languages, thereby fostering a more inclusive and efficient shopping experience. This pragmatic application of AI directly addresses common operational challenges, freeing up associates to focus on more complex, empathetic, and customer-centric tasks.
Donna Morris reiterated the imperative of this educational journey, stating, "We need to bring people along on the journey, and we need to make sure that we’re educating people. It’s a form of literacy in many ways, and so we really want to make sure that our associates feel literate and capable of using AI." This sentiment underscores a commitment not just to skill enhancement but to fostering a sense of empowerment and confidence among employees as they adapt to evolving technological paradigms.
A Hybrid Data Strategy and Evolved ROI Philosophy
Walmart’s approach to its AI stack development reflects a thoughtful data strategy. Morris explained that when building their AI systems, tech leaders meticulously assess whether relevant data is publicly available. If a beneficial dataset exists in the public domain, Walmart opts to utilize an external large language model to process and leverage that information. Conversely, for data that is proprietary, specific, and critical to Walmart’s unique operations or competitive advantage, the company relies on its robust internal data lake. This dual approach ensures both efficiency in leveraging readily available resources and stringent control over sensitive, internal information. Morris likened this approach to pre-AI data management, where access to certain information was based on position and decision-based rules, emphasizing that the underlying principles of data governance remain consistent even in an "agentic world."
The company’s perspective on Return on Investment (ROI) for its AI investments also diverges from a purely cost-reduction focus often seen in other enterprises. While operational efficiencies are a natural byproduct of AI integration, Walmart’s primary goal, particularly for customer-facing roles, is to create more opportunities for face-to-face, customer-centered work. This strategic emphasis on human interaction is a critical differentiator in the competitive retail landscape. Morris articulated this philosophy, stating, "If we can actually provide technology that allows associates to serve customers more effectively, we’ll say that’s value added." This perspective highlights a long-term vision where technology augments, rather than diminishes, the human element of retail service. By automating mundane or time-consuming tasks, AI empowers associates to deliver a higher quality of personal interaction, fostering deeper customer loyalty and satisfaction.
Broader Industry Context and Walmart’s Leadership
The retail sector globally is undergoing a rapid transformation driven by AI. Recent reports indicate that more than eight out of ten retailers had integrated AI into their operations by late last year. These integrations span various functions, including marketing, IT, digital commerce, merchandising strategy, and pricing, as highlighted by a Berkeley Research Group report. Walmart’s investment in AI is therefore part of a broader industry trend, but its scale and explicit focus on comprehensive workforce upskilling distinguish its strategy. Competitors like Amazon have long leveraged AI for everything from warehouse robotics to personalized recommendations and voice assistants (Alexa). Target has also invested heavily in AI for supply chain optimization and customer insights. Walmart’s initiative, however, emphasizes human-AI collaboration on an unprecedented scale within its vast physical store footprint.
The implications of Walmart’s strategy extend beyond operational efficiency. The company explicitly states that its AI deployment has not resulted in role displacement. Donna Morris noted that Walmart maintains the same number of employees as six years ago when she joined, yet it has achieved significantly higher revenue. This statistic offers a compelling counter-narrative to fears of widespread job losses due to AI, suggesting a model where technology acts as an accelerator for growth and productivity, enabling existing workforces to achieve more. This "augmentation" model is gaining traction among forward-thinking enterprises, recognizing that human judgment, creativity, and empathy remain irreplaceable assets.
Furthermore, Walmart has strategically diversified its business model in recent years, venturing into digital advertising, data ventures, and even a healthcare business. AI plays a crucial role in these new revenue streams, powering targeted advertising campaigns, providing advanced analytics for data monetization services, and optimizing logistics and patient care within its healthcare offerings. This evolution showcases AI not just as an operational tool but as a foundational technology enabling new avenues for growth and market expansion.
Challenges and the Future of Work at Walmart
While the vision is ambitious, the execution of such a large-scale AI literacy program presents inherent challenges. Ensuring consistent training quality across 1.7 million diverse employees, addressing varying levels of technological aptitude, and continually updating curricula to keep pace with rapid AI advancements will require sustained effort and investment. Data privacy and security, especially when combining internal and external LLMs, will also remain paramount. Furthermore, integrating AI tools seamlessly into existing workflows without causing disruption or frustration will be key to adoption.
Despite these complexities, Walmart remains pragmatic about the transformative power of AI. Morris concluded with a nuanced perspective: "The vast majority of our jobs will have some shaping. They won’t have fundamental reshaping. All of us have to really make sure that we’re pragmatic about how much AI is truly shaping and what jobs." This statement reflects a balanced view, acknowledging that while AI will undeniably alter job functions, it is unlikely to fundamentally redefine the core purpose of most roles in the immediate future. Instead, AI is envisioned as a powerful co-pilot, enhancing human capabilities and enabling associates to deliver exceptional service and drive innovation.
In essence, Walmart’s initiative transcends a simple tech upgrade; it represents a profound investment in its people, a proactive embrace of the future of work, and a bold statement about the enduring value of human-centric retail in an increasingly digital world. By equipping its vast workforce with AI literacy, Walmart is not just preparing for the future; it is actively shaping it, demonstrating that at the intersection of human talent and technological innovation, a more efficient, customer-focused, and resilient retail ecosystem can thrive.
