As fashion weathers rising tariffs, strained supply chains, and a cost-of-living crisis, circularity could become less of a compliance exercise, and more of a practical adjustment to a market where newness is on the decline.
In a trade environment where tariffs can be imposed, reversed, or escalated in a matter of hours, long-term planning becomes impossible. What’s unfolding isn’t industrial policy, it’s economic whiplash.
A new study suggests what many suspected: generative AI doesn’t just learn style—it remembers substance. Now, with lawsuits from the New York Times and acclaimed authors moving forward, the legal system is catching up. And for fashion—an industry built on inspiration—the question is no longer if AI poses a risk, but when.
Fashion has had a crossover opportunity in videogames for a while, but new metrics for engagement and reward are promising to put more quantifiable numbers next to the potential.
Image generation has taken a leap forwards at the same time its chains have been loosened. As the biggest models get easier to use, better, and less restricted, will a point come where fashion has the appetite for action?
Fashion’s most glamorous, outward-facing roles are dominating discussions about AI-driven job displacement and the future of compensation, but behind-the-scenes creatives are perhaps more at risk as businesses prioritise cost-cutting, creative control, and speed. And what this means for the acquisition of skills in the future is unclear.
Hyland's Global Director Digital Asset Management Practice on why digital product creation is more than just a cost-cutting play, and how it's becoming the backbone of fashion's digital transformation.
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