IrelandThe article reflects on the evolution of fashion trends, questioning whether the rise of AI-driven style recommendations is inherently worse than traditional methods. The author recalls personal experiences with 'ugly' shoes becoming fashionable through repeated exposure, drawing parallels to how past trends were influenced by designers and cultural movements. They argue that fashion has always involved data harvesting, citing examples like Isabel Marant's sneakers and Marc Jacobs' grunge-inspired collections. The piece critiques the current reliance on algorithms, suggesting that while fast fashion has always used data, modern systems create a feedback loop that makes distinguishing genuine trends from manufactured ones increasingly difficult. The author references specific trends such as #MobWife and 'Sardine Girl Summer,' implying potential artificiality.
Bias read (Center): The article does not take a political stance but rather explores cultural and societal shifts in fashion. It presents both historical and contemporary perspectives without overtly favoring one side over the other. While it critiques the role of algorithms in shaping trends, it acknowledges the long-
