The Role of AI-Driven Fast Fashion in Shaping Personal Style Choices and Self-Confidence among Consumers
Keywords:
Artificial Intelligence, Fast Fashion, Personal Style Identity, Consumer Self-Esteem, Algorithmic PersonalizationAbstract
Artificial Intelligence (AI) has revolutionized the fast-fashion sector through highly personalized recommendation systems, swift trend forecasting, and data-driven production processes. Consequently, consumers are presented with clothing options that are curated by intricate algorithms instead of engaging in independent exploration. This research paper investigates the impact of AI-driven fast fashion on personal style preferences and consumer self-esteem, utilizing secondary academic sources, which encompass fashion studies, consumer psychology, and digital retail systems. The paper synthesizes insights from Shin & Kim (2021), Guo et al. (2023), Joy et al. (2015), Adam & Galinsky (2012), among others. The analysis uncovers a dual effect: while it improves accessibility and encourages experimentation, it also promotes conformity, diminishes authenticity in personal style development, and leads to psychological pressure and reduced self-confidence, particularly among younger consumers. The paper concludes by emphasizing the necessity for awareness, digital literacy, and education in sustainable fashion.
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