Why Designers Challenge the Algorithm

Wardrobe indecision is common, but stylist apps like Acloset or StyleDNA aim to solve this by generating outfit suggestions using algorithms. However, the results often lead to repetitive combinations, like light blazers and sneakers, resulting in a lack of individuality. Critics, including Vogue Italia and The Guardian, note that these AI-generated outfits promote sameness rather than personal style. In response, designers are embracing layering to create unique identities and complexity. For instance, Julien Dossena of Rabanne crafts intricate layers that break monotony, while The Row and Collina Strada offer innovative approaches to layering. Coach infuses kitsch into their designs, while designers like Magliano and Ludovic de Saint Sernin explore asymmetric and streetwear blends. This trend of layering serves as a rebellion against AI’s homogenization, celebrating deliberate imperfection and encouraging self-expression in fashion rather than conformity. Ultimately, it emphasizes that clothing should reflect individuality, not just market trends.

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