Abstract
<jats:p>Artificial Intelligence is reshaping the fashion industry from predictive analytics to supply chain optimisation (Babu et al., 2022; Mohammad et al., 2024). However, AI conceals a sustainability paradox. While algorithms can reduce overproduction waste, the computational power required for machine learning entails significant energy consumption and carbon emissions. This chapter tackles the environmental and ethical implications of AI adoption in fashion, focusing on whether scientific research addresses the cost of AI technologies themselves. Using a bibliometric analysis from Scopus and Web of Science databases (2015-2025), the study maps the evolution of this discourse, identifying key contributors and dominant themes, such as algorithmic ethics and reliance on data centres. By evaluating the current research landscape, this chapter highlights critical gaps and suggests a balanced approach to integrating AI to align technological progress and sustainable standards in one of the world's most polluting industries (Liscio and Sospiro, 2023; Bailey et al., 2022).</jats:p>