AI perfume promises faster launches and smarter personalisation through tools such as molecular modelling and demand prediction, while perfumers safeguard emotion and brand identity.
According to Global Data, the global perfume market is forecast to reach US$73.1 billion by 2029. With creativity under pressure and competition intensifying, brands are increasingly relying on AI to streamline production and enhance differentiation. Yet this technological tide also raises questions: is the perfumer’s role being overshadowed? And if AI can craft hundreds of formulas in minutes, predict consumer preferences, and optimise costs, will perfumes still feel unique—still move us—or merely become refined replicas of what came before?
Read more: When makeup fashion jumps off the vanity and onto the runway
The doubt comes from speed and performance
A perfumer can spend months, even years, perfecting a single scent. Behind each bottle lie hundreds, if not thousands, of combinations, tested, adjusted, and often discarded. However refined the human sense of smell, it remains biologically limited, capable of distinguishing only about 20 to 30 consecutive scents before fatigue sets in. Creativity, therefore, is a slow and painstaking craft, where every balance between notes must be achieved by hand.
Above Amorepacific (Korea) applies AI to “Bathbot”, a bath bomb maker that personalises scents based on customer data and even analyses brain waves to recommend suitable fragrances (photo: Amorepacific)
AI, on the other hand, compresses the creative process into a matter of weeks. With vast data-processing capabilities, it can analyse thousands of scent molecules simultaneously, cross-reference ingredients, and propose formulas shaped by user preferences, market trends, and commercial goals. What artisans may take months to test, AI can model in mere hours. Manual testing is not only slow but also costly—oud and rose are both prized, expensive ingredients—and every adjustment consumes real materials, time, and production resources.
By contrast, AI simulations allow for full molecular interaction within data sets, faster, more precise, and far more cost-efficient. “Implementing AI perfumes can be expensive initially,” notes Rachel Goalby, Marketing Director of The Fragrance Shop, one of the world’s largest perfume retailers. “But in the long run, it accelerates product launches, reduces costs, limits waste and risk, and maximises profits.”
