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Innovation Pathways of AIGC-Empowered Fashion Design from the Perspective of New Quality Productivity

In: Proceedings of the 2025 7th International Conference on Economic Management and Cultural Industry (ICEMCI 2025)

Author

Listed:
  • Yufei Wan

    (Beijing Institute of Fashion Technology, School of Art and Design)

  • Zhe Li

    (Beijing Institute of Fashion Technology, School of Art and Design)

  • Xinping Song

    (Capital United Think Tank Federation)

Abstract

This study focuses on exploring how Artificial Intelligence Generated Content (AIGC) empowers production tools, labor, and design objects in the new quality productivity of fashion enterprises, while analyzing its mechanisms and implementation pathways in fashion design innovation. Through literature review and case studies, the research reveals how AIGC reconstructs new quality productivity in fashion, forming a framework of new quality fashion design tools – new quality fashion designers – new quality fashion consumers. The findings indicate: (1) New quality fashion design tools reconstruct traditional design processes through intelligent, collaborative, and ecological transformation; (2) New quality fashion designers break conventional thinking patterns, achieving deep integration of design thinking and management logic, thereby reshaping value creation paradigms; (3) New quality fashion consumers and marketing establish a demand-integrated value co-creation ecosystem, driving bidirectional empowerment and symbiotic evolution between commercial value and user needs.

Suggested Citation

  • Yufei Wan & Zhe Li & Xinping Song, 2025. "Innovation Pathways of AIGC-Empowered Fashion Design from the Perspective of New Quality Productivity," Advances in Economics, Business and Management Research, in: Abdelhak Senadjki & Chee Yoong Liew & Yahua Xu & Fong Peng Chew (ed.), Proceedings of the 2025 7th International Conference on Economic Management and Cultural Industry (ICEMCI 2025), pages 196-205, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-888-2_20
    DOI: 10.2991/978-94-6463-888-2_20
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