Autonomous Intelligence in Fashion: A Comprehensive Analysis of Agentic AI Across the Fashion Ecosystem

The fashion industry is undergoing a paradigm shift with the emergence of agentic artificial intelligence (AI), a sophisticated class of intelligent systems exhibiting autonomous decision-making, continuous learning, and adaptive action with minimal human intervention. Moving beyond traditional AI applications in fashion focused on predictive analytics, generative tools, and supervised automation, agentic AI introduces a transformative paradigm wherein intelligent agents proactively navigate the complexities inherent in design, manufacturing, supply chain optimization, and consumer personalization. This paper presents a comprehensive exploration of the evolving role of agentic AI across the multifaceted fashion ecosystem, offering an in-depth analysis of its technological underpinnings, operational transformations, and strategic implications. Employing an interdisciplinary framework and detailed examination of five pivotal case studies—Stitch Fix, Zara, Tommy Hilfiger, Farfetch, and MatchesFashion—this study meticulously investigates how agentic AI is revolutionizing creative ideation processes, enabling real-time adaptive logistics, and facilitating hyper-personalized retail experiences. Our findings reveal that agentic systems are redefining established industry norms by fostering synergistic human-AI collaboration, significantly enhancing operational efficiency, and paving the way for more sustainable and intelligent fashion operations. Furthermore, this paper critically contextualizes agentic AI within broader scholarly debates surrounding technological autonomy, ethical considerations, and the potential for labor displacement, thereby contributing to the theoretical discourse on AI agency and innovation within the fashion domain. By offering a forward-looking perspective grounded in empirical examples and theoretical insights, this study delineates critical future research pathways and strategic considerations for stakeholders navigating the next frontier of intelligent fashion systems. As agentic AI continues to blur the traditional boundaries between human creativity and machine intelligence, its profound integration stands to fundamentally reshape the future trajectory of fashion as a dynamic, data-driven, and increasingly autonomous industry.