Target has announced the appointment of Chandhu Nair as its first chief AI officer, a move that underscores the rapidly growing importance of artificial intelligence in the retail sector. Nair, who joins from Lowe's on August 24, will serve as senior vice president and chief AI officer, leading the company's efforts to integrate AI across its operations. The retailer has also named Purvi Shah as senior vice president of user experience, signaling a broader commitment to enhancing the digital and in-store customer journey.
Nair previously held the position of senior vice president of stores, data, AI and innovation at Lowe's, where he was responsible for driving the home improvement retailer's AI strategy and data-driven initiatives. Before his time at Lowe's, he worked at Staples and Gap, giving him a diverse background in both specialty retail and large-scale omnichannel operations. His extensive experience in leveraging data to improve store performance and customer experience will be critical as Target aims to modernize its approach to AI.
In a statement, Nair emphasized that the real value of AI lies not in the technology itself but in its application on the front lines of the business. “The most meaningful AI stories won’t be about what happens in a lab,” he said. “They’ll be about what happens on the front line, how we make shopping easier for a guest, give a team member a better tool, make a business decision with more confidence or bring a new idea to market faster.” His comments reflect a growing sentiment among retail executives that AI must deliver tangible, practical outcomes rather than remain a theoretical exercise.
A new era for retail leadership
Nair's appointment is part of a broader trend across industries, and particularly in retail, where companies are creating executive roles dedicated to AI strategy. According to research from IBM's Institute for Business Value, 76% of organizations surveyed reported having a chief AI officer in 2026, up sharply from just 26% a year earlier. The same study found that companies with a chief AI officer reported 5% higher returns on their AI spending compared to those without one. This data suggests that having a dedicated executive to oversee AI initiatives is no longer a luxury but a necessity in today's competitive landscape.
The creation of the chief AI officer role is one of the newest job titles to emerge from the AI boom. Unlike traditional technology roles such as chief information officer or chief technology officer, the chief AI officer is specifically tasked with aligning AI strategy with business goals, managing AI risks, and ensuring that AI systems are deployed ethically and effectively. This includes overseeing data governance, model performance, and the integration of AI into existing workflows. For retailers, the role often involves using AI to optimize inventory, personalize marketing, and enhance customer service.
Target's decision to create this role comes as the company faces significant challenges. The retailer has been working to win back shoppers and investors after a period of sluggish sales and increased competition from both traditional rivals and e-commerce giants. In recent years, Target has invested heavily in generative AI technologies, including a tool called Target Trend Brain, which uses machine learning to forecast the styles, colors, and materials customers will search for. This tool represents a proactive approach to trend prediction, helping Target stay ahead of consumer preferences and reduce the risk of unsold inventory.
Last holiday season, Target also launched a conversational feature designed to help shoppers select gifts. This feature leverages natural language processing to provide personalized recommendations, making the shopping experience more intuitive and convenient. The introduction of such tools underscores Target's commitment to embedding AI into its customer-facing operations. With Nair at the helm, the company is likely to accelerate these efforts, exploring new ways to use AI for pricing, supply chain optimization, and even store layout planning.
The competitive landscape
Target is far from alone in this race. Rivals such as Walmart have been rolling out AI tools and agents across their stores and supply chains. Walmart's AI initiatives include automated inventory management systems, predictive demand forecasting, and conversational shopping assistants. The company has also experimented with AI-powered drones and robots for delivery and warehouse operations. Similarly, Gap struck a partnership with Google's Gemini platform earlier this year, aiming to integrate advanced AI capabilities into its e-commerce and marketing efforts. Best Buy, meanwhile, has established arrangements with both OpenAI and Google, using their technologies to power its customer support and recommendation engines.
The pressure to adopt AI is even reaching the highest levels of retail leadership. Douglas McMillon, who served as Walmart's chief executive for over a decade, announced his decision to step down in December, handing the reins to John Furner, a leader he described as “faster” and better equipped to leverage AI for business acceleration. McMillon explained that he realized the next phase of retail would be heavily influenced by agentic commerce, a concept where AI agents independently make purchasing decisions and complete transactions. This vision of AI-driven shopping is already becoming a reality in other parts of the world, particularly in China.
In China, e-commerce giants Alibaba, Meituan, and JD.com are already deploying shopping agents at scale. These agents go beyond simple recommendation systems, actively negotiating prices, comparing products, and completing purchases on behalf of consumers. Instead of decorating the search bar with AI features, these companies are replacing the search bar itself with autonomous agents that can understand natural language queries and execute tasks. This shift represents a fundamental transformation in how consumers interact with retail platforms, and it is likely to serve as a blueprint for Western retailers in the coming years.
The growing importance of AI in retail
The rise of the chief AI officer role reflects a broader understanding that artificial intelligence is not just a technological trend but a core business imperative. Retailers are using AI to solve long-standing challenges, such as forecasting demand for seasonal products, optimizing markdowns, and improving the accuracy of supply chain predictions. AI can also enhance the customer experience by providing personalized recommendations, virtual try-ons, and seamless checkout processes. However, implementing AI effectively requires more than just purchasing the right software; it requires a strategic vision, robust data infrastructure, and a culture that embraces data-driven decision-making.
According to industry experts, the role of the chief AI officer often includes setting the AI roadmap, determining what problems to solve first, and ensuring that all departments are aligned with the company's AI goals. A successful chief AI officer must also be a communicator, helping employees understand how AI will change their jobs and reassuring them that AI is meant to augment their abilities, not replace them. This is particularly important in retail, where frontline workers play a crucial role in delivering a positive customer experience. By giving store employees better tools, AI can free them up to focus on more complex tasks, such as assisting customers with special needs or handling in-store pickups.
For Target, Nair's focus on a “more coordinated approach” to AI is particularly notable. Retail companies have historically struggled with siloed AI initiatives, where different departments experiment with isolated use cases without a unified strategy. Nair's appointment signals an intention to break down these silos and ensure that every AI project supports a common set of business objectives. This could involve centralizing data pipelines, standardizing model deployment, and creating shared platforms for AI development across the company. The result, ideally, is faster decision-making and a higher return on AI investments.
The timing of the announcement is also significant. Target has been under pressure to show investors that it has a clear strategy for the future. The appointment of a chief AI officer is a visible signal that the company is serious about leveraging technology to drive growth. It also acknowledges that AI is becoming a core competency for retail leadership, not merely a functional area that can be managed by the IT department. As more retailers follow suit, the role of the chief AI officer may become as common as that of the CFO or CMO in the boardroom.
In addition to Nair, Target's appointment of Purvi Shah as senior vice president of user experience highlights the company's commitment to putting the customer at the center of its digital strategy. Shah, who has a strong track record in product design and user research, will work alongside Nair to ensure that AI features are intuitive, accessible, and genuinely useful. The collaboration between AI and user experience teams is likely to be crucial in developing conversational interfaces and personalized shopping journeys that resonate with consumers.
While it remains to be seen how quickly Target will implement these changes, the direction is clear. AI is moving from the fringes of retail to the center of strategic planning. The companies that successfully integrate AI into their operations will be better positioned to meet changing consumer expectations, optimize their supply chains, and outmaneuver competitors. With Chandhu Nair's extensive experience and the backing of a dedicated AI team, Target is making a bold statement about its future direction.