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.
From the crucible of the space race to the necessity of climate adaptation, what fashion can take away from past and present moments of fear, optimism, necessity, and invention.
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?
For decades, clothing sizes have been based on outdated body data, creating fit issues for most women. Tanya Dove’s research examines how these flawed standards persist and explores what can be done to improve garment sizing for a more accurate fit.
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.
With digital product creation anchored in streamlining creative work, and AI at the top of the investment pile thanks to its promise of radical automation, the two segments seem set to converge. What's likely to happen, fashion-wide, when they do?
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.
There are common reasons for using 3D that transcend verticals: speeding up ideation, aligning teams, simplifying processes, and creating great content. But if we add generative 3D modelling to the mix, the challenges faced by videogames and other industries start to diverge from where fashion has encountered the most friction with 3D.
The Interline’s most hotly-anticipated downloadable report, covering the full spectrum of artificial intelligence in fashion and beauty, will be released in the second quarter of 2025.
The journey from transactional shopping experiences to immersive ones has not been straightforward, but the right combination of 3D assets and real-time technology could be the key - provided fashion has the right ambitions.
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