AI and beauty: two pillars of new growth in the fashion and shopping market
June 8, 2026
In 2026, fashion, retail, and luxury are no longer growing according to a single logic. AI is becoming the operational layer of commerce: accelerating content production, supporting search, recommendations, and personalization, and increasingly mediating purchases themselves. Beauty works differently: it converts customer attention into purchasing decisions more quickly, better collaborates with the creator economy, and more efficiently tests microtrends in real time.
It's the combination of these two forces that is creating a new growth model today. In its report, The State of Fashion 2026, McKinsey assumes that the global fashion market will maintain a single-digit growth rate in 2026, amidst persistent macroeconomic uncertainty. For beauty, the forecast is significantly stronger: an average of 5% annually until 2030.
Why are AI and beauty two pillars of new growth today?
Fashion is growing more slowly, so it's seeking new paths to efficiency. Pressure is on campaign costs, response time to trends, search quality, and recommendation precision. AI is emerging as a tool to improve efficiency. Reuters reported that, thanks to generative AI, Zalando shortened the production time of marketing materials from 6–8 weeks to 3–4 days, reduced costs by 90%, and approximately 70% of editorial campaign images in the last quarter of the previous year were generated by AI.
Beauty is growing faster because it's easier to convert attention into purchases. Lower price points, higher purchase frequency, and faster testing of new products mean the beauty market is turning trends into revenue more quickly. McKinsey reports that 75% of beauty executives are now doubling down on sales growth, although 54% of them cite consumer caution and greater control over perceived value as the main risk.
AI in fashion, retail, and the shopping experience
AI is no longer limited to image generation. It encompasses campaigns, merchandising, search, recommendations, content testing, and structuring the purchase journey. The shift is that the technology is starting to work closer to the decision point: not only creating an image but also helping the customer find, compare, and evaluate a product.
Today, the new path to purchase combines social, search, and recommendation. EMARKETER reports that 73% of American Gen Z consider social media their primary source of knowledge about new products, and creator economy revenues are expected to grow by 16.2% to $20.6 billion in 2026. This means that product discovery increasingly takes place not in a single store or search engine, but rather between feeds, comments, creator videos, and AI tools.
The next stage involves not only text but also the senses. Industry literature increasingly speaks of the battle for the "customer perception layer": image, voice, context, and wearable devices. A good example is the AI Scent Advisor for Jo Malone London, created by Estée Lauder and Google. According to the WSJ, this tool, after its quiet rollout, nearly doubled the conversion rate for online fragrance purchases.
However, trust remains the biggest barrier. A Vogue study on AI perceptions found that 69% of respondents use AI chatbots at least occasionally, but only 24% trust their recommendations for fashion and beauty. Furthermore, 54% have never used AI for fashion and beauty shopping. The technology is present, but it has not yet gained full legitimacy in choices related to style and taste.
Beauty as an engine of growth and consumer trends
Beauty moves faster than fashion because it monetizes attention more easily. What matters here is pace, repeat purchases, and consumer willingness to experiment. The category is also more susceptible to rapid feedback: an ingredient, formula, color, or format can almost immediately translate into increased interest. The weekly beauty tracker created with Spate shows that the beauty market is now being monitored as a system of constant market signals, not just a matter of taste.
This microtrend has the potential to become a significant category. The example of self-tanning illustrates this well: this market is expected to reach $1.65 billion by 2029, driven by new formulas, skincare ingredients, and premiumization. Beauty thrives on the combination of "trend + education + performance," which is why it's turning interest into a viable business faster than traditional fashion.
The logic of influence has also changed. Increasingly, the winner isn't the creator, who is solely a product expert, but rather someone who inspires attachment and is a regular presence in the recipient's life. Analyses of beauty influencers show a shift from expertism to a personality-driven narrative, more reminiscent of reality TV rhythms than classic beauty marketing.
Rhode is a useful case study here. Hailey Bieber's brand was expected to reach $390 million in sales by fiscal year 2026, with 80% growth, $500 million in global retail sales, and a goal of reaching $1 billion. This is no longer just a celebrity brand. It's a beauty brand model that combines creator, product, retail expansion, the pop-up economy, and rapid decision-making.
What do AI and beauty have in common?
Beauty is a natural testing ground for AI, as it more readily embraces personalization, diagnostics, shade matching, consulting, and online sales than fashion, in areas that until recently seemed difficult to translate to a digital interface. AI organizes commerce, and beauty provides it with momentum: more frequent data, faster feedback, and greater consumer willingness to try.
In practice, the battle is no longer just about the purchase itself, but also about the moment of product discovery. This is where brand advantage is decided: who appears first in the feed, recommendations, conversations with AI, or the world of a creator the consumer trusts. For premium brands, this means one thing: implementing AI alone isn't enough. Trust, selection, and a consistent brand experience are key.
In short:
- AI and beauty are today the two main pillars of new growth in fashion, retail and the shopping experience.
- AI is improving search, recommendations, content production, and personalization, but it still suffers from low consumer trust.
- Beauty is growing faster than fashion and is better at monetizing attention through trends, creators, and retail expansion.
- Social commerce and the creator economy are increasingly influencing the moment of product discovery and purchasing decisions.
- For premium brands, the key is not just implementing AI, but maintaining trust, selection and a consistent brand experience.
It turns out that in mid-2026, AI and beauty aren't just passing industry fads. Together, they're creating a new model for premium commerce. AI is changing the way customers search for products, how they're described and recommended, and beauty demonstrates how quickly this change can achieve virality, how quickly sales can be closed, and how broadly the impact can be scaled. This is a more technologically advanced system, but also more dependent on trust, quality selection, and a well-designed experience.
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