The use of AI in campaign and editorial imagery keeps landing in that space between workflow efficiency and cultural resistance, and the reaction is anything but straightforward.
AI is plagued by distrust, surrounded by data ownership quagmires, and accused of out-of-control hype. But if the problems are palpable, so are the possibilities for radical reinvention. So what might fashion look like if they all came true?
It's been a busy week on the global trade front as tariffs continue to disrupt businesses across the fashion spectrum. With volatility the only constant, and control a scarce commodity, the best brands can do is look inward, steadying themselves through the digital systems built to absorb the shock.
Read More: Podcast: Agile Supply Chains And AI Insights With Paul Magel
For the full-service apparel tech partner, a lynchpin of the global supply chain, progressively integrating technology into its operations has allowed the company to build strategic capabilities that will support the industry through a historic transition.
Read More: New Steps In Commodity AI Image Models, And What They Mean For Fashion
Google's new AI image generation model delivers consistency in a way that’s so far been reserved for models that had undergone industry and brand-specific fine-tuning and reinforcement, but wider availability is likely to pour fuel on fashion’s deeper ethical and process questions when it comes to AI images.
Sustainability is finding measurable momentum, culturally and commercially, but fast fashion, as a business model and a mindset, is still accelerating at the same time.
According to a recent MIT study 95% of AI pilots are not delivering value, and the stock market is not responding well. How universal is the disconnect between hype and ROI? And where should fashion and beauty really be looking for value?
When trade rules change overnight, planning takes on a different definition, and early investments in building supply-side flexibility are already starting to pay off.