Target has launched an ambitious turnaround strategy to reverse a three-year streak of declining sales, placing generative AI at the core of its recovery plan. Following the appointment of CEO Michael Fiddelke in February and the announcement of thirteen consecutive quarters of weak performance, the retailer unveiled a bold agenda designed to regain market share from competitors like Walmart and Costco. Prat Vemana, Target's technology chief, emphasized the strategic timing of adopting AI, noting that the technology arrives just when the company needed the most leverage to execute its goals. The plan involves $2 billion in new capital and operational commitments over the coming year, alongside the opening of 30 new stores, 130 remodels, and significant overhauls to product assortments. Fiddelke reported that early signs of success are visible, with accelerated sales in February and projections for growth across all quarters of 2026. Central to this strategy is the integration of AI tools across every function of the business, from design to store operations. While Target was an early adopter of machine learning for data analysis, the rapid advancement of generative AI has intensified competition. Rather than reducing its workforce, Vemana stated that the company is using AI to enable its existing US and India teams to match the output of much larger organizations. A key innovation is the Trend Brain platform for the apparel division, which combines visual analysis and social media sentiment to predict fashion trends. This allows designers to create new collections in weeks rather than months and pivot quickly when styles like polka dots surge in popularity. Operational efficiency is being enhanced through handheld Zebra scanners equipped with AI features that assist employees in planning displays, prioritizing restocking, and accessing immediate support without needing desktop computers. Vemana highlighted that the goal is to reclaim time for staff so they can focus on the human touch that matters most to customers. Target is also reshaping the digital shopping experience. The company is among the first retailers to enable multi-item purchasing via chatbots and has partnered with Google on open commerce protocols. Generative AI coding companions accelerated a complete overhaul of the Target mobile app, reducing a project that would typically take years to just 18 months. The updated application features a scanner that converts handwritten notes into shoppable lists and a store mode that maps items on a floor plan for easy navigation. As one-third of in-store shoppers now use the app during visits, these features aim to meet customers where they are. While Target did not disclose the specific total value of its AI investment, Vemana stressed that the technology is a foundational necessity rather than a buzzword. The company is committed to ensuring that AI applications deliver a positive return on investment and are deployed only where they can genuinely drive growth.