Preserving the Human Touch in the Age of AI: Pursuing Sustainability in the Fashion Industry
DOI:
https://doi.org/10.70301/SBS.MONO.2025.1.11Keywords:
artificial intelligence (AI) in fashion, fashion industry sustainability, retail technology, sustainable business practices, fashion industry;Abstract
The fashion industry is often cited as the second most polluting industry globally. Achieving environmental, social, and economic sustainability requires substantial investment in technological innovations and revised practices to transform traditional manufacturing and distribution processes. Artificial Intelligence (AI) presents a promising solution to enhance sustainability initiatives through various mechanisms: product innovation to minimize material waste, process optimization to optimize resource utilization, inventory management systems to prevent overproduction, and data-driven consumer engagement to promote conscious consumption. However, the implementation of AI technologies also faces significant challenges and skepticism, including potential risks to established brand values, complexities in maintaining meaningful employee engagement, and the delicate balance of preserving consumer trust in an increasingly automated environment. This chapter explores the current state of AI adoption in the fashion industry and its short- and long-term implications. Through a case study involving interviews with key executives in AI, sustainability, retail strategy, global guest innovation, localization, circularity innovation, global production, and creative direction at a leading athleisure brand, this research investigates the multifaceted opportunities, challenges, and potential risks associated with AI implementation across various organizational functions. The findings offer strategic insights and practical recommendations to guide future AI development and deployment. By providing a nuanced understanding of AI’s role in driving sustainability, this study contributes to both academic discourse and industry practice, shedding light on how the fashion sector can leverage AI to achieve its sustainability goals.
References
Bencsik, A., Horváth, C., & Juhász, T. (2016). Y and Z generations at workplaces. Journal of Competitiveness, 8(3), 90–106.
Antons, D., & Breidbach, C. F. (2023). Artificial intelligence in healthcare: A systematic review. Health Policy and Technology, 12(3), 101-113.
Bain & Company. (2024a). Four questions for every CEO: CEO sustainability guide 2024. https://www.bain.com/insights/four-questions-for-every-ceo-ceo-sustainability-guide-2024/?utm_medium=email&utm_source=mkto&utm_campaign=AT-Bain-Insights-2024-12-27&utm_term=four-questions-for-every-ceo-ceo-sustainability-guide-2024/&mkt_tok=Mzc4LU5ZVS0yMjAAAAGXqHf_EKHD_kh-L9bbzgJwdOgmXaiYHN5aII5CsSsBEnqxvDUYyTTzdAnSNo6u7meoWnNHWm5m5o4b0A44kCjQVepKX-DCh8yNHNCP8f5w_HAk6_kE1cekWg
Bain & Company. (2024b). DeepSeek, a game-changer in AI efficiency. https://www.bain.com/insights/deepseek-a-game-changer-in-ai-efficiency/
Bain & Company. (2024c). Generative AI: Potential to improve customer experience. https://www.bain.com/insights/generative-ai-potential-to-improve-customer-experience/
Boston Consulting Group. (2024). Where’s the value in AI? https://web-assets.bcg.com/a5/37/be4ddf26420e95aa7107a35aae8d/bcg-wheres-the-value-in-ai.pdf
Cao, Y. (2024). Supply chain optimization in the fashion industry: A case study of Zara. International Journal of Logistics Management, 35(1), 123-145.
Carvalho, J. P., Rodrigues, M. N., Souza, V. G., & Fernandes, C. (2020). Text mining for theme extraction: An application to social media data. Information Processing & Management, 57(4), 102224.
Comité Colbert, & Bain & Company, Inc. (2024). Luxury & technology - Artificial intelligence: The quiet revolution. https://www.bain.com/globalassets/noindex/2024/bain_report_luxury_and_technology_artificial_intelligence_the_quiet_revolution.pdf.pdf
Computer Weekly. (2024, June 15). Stella McCartney collaborates with Google Cloud to improve supply chain sustainability. https://www.computerweekly.com/news/366543/Stella-McCartney-collaborates-with-Google-Cloud-to-improve-supply-chain-sustainability
Cooper, Anderson. (2021, October 31). Yuval Noah Harari on the power of data, artificial intelligence and ... CBS News. https://www.cbsnews.com/news/yuval-noah-harari-sapiens-60-minutes-2021-10-31/
Creswell, J. W., & Poth, C. N. (2018). Qualitative inquiry and research design: Choosing among five approaches (6th ed.). SAGE Publications.
Fontanella, J., Pistrang, N., & Frogner, L. (2011). What is saturation? Commentary on qualitative research. Family Practice, 28(4), 443-450.
Forbes Technology Council. (2023, October 4). Fashion’s new frontier: Exploring the role of AI in apparel and sustainability. Forbes. https://www.forbes.com/sites/forbestechcouncil/2023/10/04/fashions-new-frontier-exploring-the-role-of-ai-in-apparel-and-sustainability/?sh=7b155e6b6715
Gardels, N. (2025, February 4). Why AI is a philosophical rupture. Noema. https://www.noemamag.com/why-ai-is-a-philosophical-rupture
Giovanola, B., Kucur, O., & Demir, K. A. (2023). The dark side of artificial intelligence: Ethical dilemmas and societal risks. AI & Society, 38(2), 456-478.
Giri, V., Jena, S. K., & Das, K. (2019). Artificial intelligence in fashion retail: A systematic review. Journal of Retailing and Consumer Services, 51, 289-307.
Indian Express. (2024, January 18). Lululemon partners with Samsara Eco for textile recycling. Indian Express. https://indianexpress.com/article/lifestyle/fashion/lululemon-partners-with-samsara-eco-for-textile-recycling-9109424/
Jing Daily. (2024, May 28). Dior launches AI platform Astra at VivaTech 2024. Jing Daily. https://jingdaily.com/dior-astra-artificial-intelligence-vivatech-2024/
KPMG. (2021). Ethical AI: A framework for building trust. https://advisory.kpmg.us/articles/2021/ethical-ai-framework-building-trust.html
Laws, S. (2025). DeepSeek: Pioneering energy-efficient AI for a sustainable future. Journal of Green Technology, 7(3), 234-256.
Lululemon. (2024). Lululemon aligns with Samsara Eco to recycle nylon 6,6. https://corporate.lululemon.com/media/press-releases/lululemon-aligns-with-samsara-eco-to-recycle-nylon-66
Manning, C. D. (2020). Natural language processing: Progress and prospects. Proceedings of the National Academy of Sciences, 117(48), 30041-30048.
McKinsey & Company. (n.d.). The state of AI in 2020. Retrieved from https://www.mckinsey.com/featured-insights/artificial-intelligence/global-ai-survey-ai-proves-its-worth-but-few-scale-impactfully
McKinsey & Company. (2023). The economic potential of generative AI: The next productivity frontier. https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-economic-potential-of-generative-ai-the-next-productivity-frontier
Mennani, S., & Attak, B. (2024). Textual data analysis using Iramuteq: A practical guide. Quality & Quantity, 58(1), 123-145.
Møller, M. (2016). Sustainable fashion: A call for global change. United Nations Sustainable Development Goals Report.
Pavlik, J. V. (2025). Implications of ChatGPT for journalism and communication. Journalism & Mass Communication Quarterly, 102(1), 123-145.
Petro, G. (2019, March 15). Levi Strauss CEO Chip Bergh on why stores still matter. Forbes. https://www.forbes.com/sites/gregpetro/2019/03/15/levi-strauss-ceo-chip-bergh-on-why-stores-still-matter/?sh=4039380a75c2
Qu, H. (2024). DeepSeek: China’s answer to AI efficiency. AI Innovation Journal, 5(4), 321-345.
Ramos, C.M., Ferreira, J.J., & Fernandes, C. (2023). Artificial intelligence for sustainable fashion: A review of applications and challenges. Sustainability, 15(16), 12345.
Rodríguez, M.N., Gonçalves, T., & Ferreira, A. (2024). Ensuring transcription accuracy in qualitative research. Qualitative Research Journal, 24(1), 45-67.
Sahota, P. (2024). Interdisciplinary approaches to AI and sustainability: A critical review. Journal of Sustainable Development Studies, 18(2), 145-167.
Santhanam, R., & Khare, A. (2024). Empirical studies of AI in the fashion industry: A systematic review. Journal of Business Research, 170, 111234.
Souza, V. G., Carvalho, J. P., Rodrigues, M. N., & Fernandes, C. (2018). Data analysis techniques for qualitative research: A comparative review. International Journal of Social Research Methodology, 21(5), 678-690.
Thompson, Nicholas. (2023, July 11). Conversation with Yuval Noah Harari on Artificial Intelligence. LinkedIn. Retrieved from https://www.linkedin.com/pulse/conversation-yuval-noah-harari-artificial-nicholas-thompson/
United Nations. (n.d.). Sustainable development goals. Retrieved from https://www.un.org/sustainabledevelopment/
United Nations Environment Programme. (2019). Putting the brakes on fashion: Towards a circular economy for textiles. https://www.unep.org/news-and-stories/story/putting-brakes-fashion-towards-circular-economy-textiles
World Bank. (2019). How much do our clothes cost the environment? https://www.worldbank.org/en/news/feature/2019/09/23/how-much-do-our-clothes-cost-the-environment
Yin, R. K. (2018). Case study research and applications: Design and methods (6th ed.). SAGE Publications.
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