Generative AI and the Reshaping of the Fashion Industry: A Study on the GAIFM (Generative AI Fashion Model) Framework

Generative artificial intelligence is profoundly reshaping the design methods, production logic, dissemination paths, and consumption structures of the fashion industry. The traditional fashion system, centered on designer leadership and a linear supply chain, is gradually shifting towards a new paradigm of "human-machine co-creation—data-driven—real-time evolution" through the introduction of generative AI. This paper, based on an analysis of the impact mechanism of generative AI on the fashion industry, proposes the "Generative AI Fashion Model (GAIFM)." This model constructs a five-stage closed-loop system consisting of a "style understanding layer—generative design layer—virtual try-on layer—intelligent production layer—feedback evolution layer," and defines a fashion value function to characterize the dynamic balance between creativity, efficiency, and personalization. The study argues that the GAIFM model can effectively explain the structural changes in the fashion industry in the era of generative AI and provides a theoretical foundation for the design of future intelligent fashion systems.