It’s no secret that AI is on the rise. AI has even taken a role in revolutionizing the beauty industry. With the rise of AI skincare analysis devices, there has been a significant shift in the way consumers interact with beauty products. These devices provide personalized and data-driven solutions for skincare concerns. Big beauty companies like Amorepacific, L’Oréal, and Unilever are increasingly integrating AI technologies to enhance customer experience and offer precision skincare.

Unlike face app filters that apply the same wrinkles on all users who want to view how they will age, AI skin analysis devices work by using advanced algorithms and high-tech imaging to analyze an individual’s skin. Key factors such as moisture levels, pigmentation, texture, and signs of aging are identified. These devices then offer personalized skincare recommendations based on real-time data, which can change as the skin’s needs evolve. Some devices even work with accompanying mobile apps, allowing users to track their skin’s progress over time.

SkinGPT

On January 15, Haut.AI, an AI company supported by Ulta Beauty and part of Nvidia’s start-up program, announced that brands like Ulta Beauty, Clarins, Beiersdorf, and Unilever are adopting its generative AI platform, SkinGPT. This platform analyzes facial photos to predict aging and simulate skincare product effects. Haut.AI also introduced Generative Skin, a consumer-facing version that gives personalized skincare advice based on uploaded photos. The goal is to provide photorealistic simulations. While AI skin analysis isn’t new, it’s gaining traction as companies leverage recent advancements in AI, following a surge in related launches at the CES event in January, including those from L’Oréal and Amorepacific.

Leaving Social Media Filters

FaceApp’s viral old-age filter sparked interest in AI-driven aging simulations, though it raised concerns about consumer data privacy. Today, AI skin analysis, like Haut.AI’s platform, is distinct from these social-media filters. Unlike FaceApp’s generic aging effect which creates a mask to give every user the same pattern of wrinkles, Haut.AI uses real before-and-after photos from clinical trials to create personalized skin simulations based on scientific studies. Brands like Clarins, Beiersdorf, Unilever-owned Pond’s, and Ulta Beauty are adopting the platform for various uses, including product efficacy analysis, R&D integration, and consumer-facing skin analysis tools in Southeast Asia.

AI Innovations at CES

At CES, beauty brands showcased new AI innovations, with Nvidia CEO Jensen Huang delivering the keynote. Amorepacific introduced an AI tool that recommends products based on photo analysis of skin tone and features, while L’Oréal launched its BioPrint device, which uses AI to measure skin protein levels and predict ingredient effectiveness. L’Oréal’s Guive Balooch sees AI combined with hardware as a major opportunity for beauty. However, the challenge lies in getting consumers to adopt these technologies. Haut.AI aims to leverage influencer marketing and its technology’s viral potential to gain traction, but widespread adoption will depend on ensuring data accuracy.

With the evolution of AI-driven technology, we can anticipate more sophisticated tools that not only recommend products but also help track long-term skin health and progress, offering a deeper level of personalized care. This technology is enabling consumers to take control of their skincare routines and make smarter, more effective choices. As these devices become more accessible and advanced, they could very well become an integral part of the future of beauty.