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Artificial Intelligence and Sustainability in Fashion: A Triple Bottom Line Approach

In: Sustainable Digital Marketing for Fashion and Luxury Brands

Author

Listed:
  • Emily Rosa Shahaj

    (University for the Creative Arts, School of Fashion and Textile)

Abstract

As artificial intelligence (AI) undergoes an arms race of investment and development, the fashion industry has readily begun to explore potential use cases across their operations. However, AI’s impact on sustainability remains under-discussed, and its potential to increase revenue is often treated as an afterthought. As European Union legislation increasingly seeks to regulate the environmental impact of both the fashion industry and AI, fashion brands must consider AI and sustainability together in order to continue selling to European consumers. Applying a three-factor definition of corporate sustainability as long-term positive impact on (1) planet, (2) people, and (3) profits, this chapter outlines AI sustainability considerations for all three factors within the luxury fashion sector. Specifically, this chapter evaluates AI tools’ impact on both the environment and various jobs within the fashion industry, as well as potential avenues for luxury fashion to leverage such tools for alleviating current financial burdens implicit within the medium of online retail. Beyond the hype and headlines, this chapter identifies where sustainability is and is not being discussed in regard to AI, as well as the inherent opportunities, risks, and limitations involved with its uptake across a fashion business’s operations.

Suggested Citation

  • Emily Rosa Shahaj, 2025. "Artificial Intelligence and Sustainability in Fashion: A Triple Bottom Line Approach," Springer Books, in: Wilson Ozuem & Silvia Ranfagni & Cindy Millman (ed.), Sustainable Digital Marketing for Fashion and Luxury Brands, chapter 0, pages 555-580, Springer.
  • Handle: RePEc:spr:sprchp:978-3-031-82467-8_23
    DOI: 10.1007/978-3-031-82467-8_23
    as

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