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Artificial Intelligence and Fashion: Threat or Opportunity?

A powerful tool to produce better (and less)

Nearly 100 billion garments are produced each year worldwide, many of which are never worn or sold. According to the State of Fashion report by McKinsey, 25% of items are never sold, and 40% are only sold at discounted prices. An ecological and economic absurdity that AI could help fix.

Using algorithms capable of analyzing millions of data points from social media, purchasing behavior, and sales history, some companies now anticipate trends with remarkable accuracy. This is the case with French start-up Heuritech, which identify emerging trends on Instagram and TikTok. Its technology can detect up to 2,000 stylistic attributes in a single image (shapes, materials, patterns…) and predict trend trajectories with 90% accuracy a year in advance.

In production, AI enables 3D modeling, minimizes fabric waste, supports on-demand manufacturing, and even allows brands to test audience reaction before launching a collection. Tools like Try-IO also facilitate virtual try-ons, helping reduce e-commerce returns and their carbon footprint.
 

Toward more refined (and more intrusive?) personalization

Another major promise of AI is personalization. Apps like Vera act as digital wardrobe assistants, recommending outfits based on what users already own. By analyzing taste, weather, context, and trends, it suggests relevant, refreshed combinations, a more sustainable approach that encourages alternative consumption habits.

On the brand side, predictive analytics help optimize product assortments, adjust prices in real-time, and deliver smarter product recommendations. 

But mass data processing isn’t risk-free. This level of hyper-personalization raises concerns. As brands collect ever more data, they may fall into a pattern of over-optimization, flattening the customer experience. Could anticipating preferences too precisely stifle surprise, randomness or simply personal style? And how can we ensure the data privacy of users feeding these systems?
 

Creative accelerator or aesthetic standardization?

For designers, AI can be a powerful tool for creative stimulation. Some have trained AI models on their own archives to generate new sketches and inspire future collections. For others, it’s a way to amplify ideation, speed up prototyping, or explore novel aesthetics.

But this AI-boosted creativity has limits. Critics warn of aesthetic homogenization: trained on similar datasets, AI tools tend to generate similar outputs, converging toward dominant visual standards. Rather than expanding creative diversity, AI could narrow it.

Another challenge is intellectual property. Can an AI-generated design be protected? What if a model trained on private archives reproduces signature elements? The legal framework remains unclear.

The traditional craftsman-designer model is also under pressure. AI is redefining the relationship to craftsmanship, time, and know-how. This hybridization is exciting  but not without friction.
 

An underestimated environmental cost

AI is often hailed as a sustainability tool, enabling brands to produce less, better, and smarter. Improved stock analysis, 3D prototyping, material management, and just-in-time logistics all contribute to reducing waste. In France, centers like Cetia already use AI to sort recyclable clothing, analyze textiles, and optimize sorting processes.

However, the environmental cost of AI, including cloud computing, intensive processing, and image generation,  remains poorly measured, under-regulated, and often ignored. Even as AI is promoted as a sustainable solution, it may simply shift environmental impact rather than reduce it.
 

Training tomorrow’s creators for responsible AI

Neither a miracle nor a threat, AI is a tool. Powerful, fast, and adaptive, but also incomplete. When used consciously, guided by designers, industry experts, and responsible brands, it can support a more agile, less wasteful, and more audience-focused fashion system.

But it is not a goal in itself. AI won’t replace creators but it will transform how fashion is imagined, produced, and consumed. It’s a chance if questioned, framed, and guided by vision. Without this, it risks replicating the very industrial logics it claims to disrupt.

It is up to fashion schools, brands, and designers to turn artificial intelligence into a conscious, creative, and truly sustainable tool. At IFA Paris, we believe true innovation happens at the intersection of ethical responsibility, technological literacy, and sustainable practice. This core philosophy is woven through our Fashion Designing & Creativity and Fashion Business & Marketing programs, equipping the next generation to integrate AI into their creative and strategic practices as conscious practitioners. Go deeper with our dedicated postgraduate courses in Fashion Tech and Sustainability. Join us and transform the questions of today into the solutions of tomorrow.