Core Viewpoint - The integration of AI into the medical beauty industry is reshaping the sector, with significant implications for material research, clinical practices, and consumer services, leading to a transformation from "experience science" to "computational science" [1][2][6]. Group 1: AI Integration in Medical Beauty - Major companies in the medical beauty and cosmetics sectors, such as L'Oréal, Betaini, and Jinbo Biotechnology, have begun deploying AI technologies to enhance their operations [2][7]. - AI is expected to accelerate breakthroughs in material research, replace traditional consultation methods with effect simulation technology, and enable personalized services [2][6]. - The 2024 annual reports indicate that institutional investors are prioritizing "AI empowerment" as a core valuation metric for medical beauty companies [2][6]. Group 2: Investment Trends - Jinbo Biotechnology and Juzhi Biotechnology, which focus on recombinant collagen, have seen significant increases in fund holdings, with Jinbo Biotechnology receiving 35 fund investments, up from single digits a year ago [3][5]. - Jinbo Biotechnology's sales of its recombinant collagen product reached a milestone of one million units, with its stock price increasing by 74.8% over the past year [3][4]. - Meitu, a well-known photo editing company, has also entered the medical beauty space, with its stock price rising by 73.44% in the past year [5]. Group 3: AI's Impact on Industry Practices - AI is revolutionizing various aspects of the medical beauty industry, including clinical diagnosis, consumer services, and material research [6][12]. - AI's application in clinical diagnosis allows for pre-surgical simulations that reduce reliance on physician experience and enhance patient trust [6][12]. - The use of AI in consumer services enables personalized solutions through skin diagnostics and tailored treatment plans, shifting the focus from selling individual products to providing comprehensive solutions [6][12]. Group 4: Future Valuation and Business Models - The competitive landscape and valuation logic of publicly listed medical beauty companies are undergoing significant changes due to AI's pervasive influence [14][16]. - Companies are expected to transition from a focus on individual product sales to a model that emphasizes platform capabilities, data accumulation, and algorithm iteration speed [16]. - The long-term outlook suggests that as AI improves treatment predictions and risk mitigation, the medical beauty industry's business model will evolve towards bundled offerings of "AI solutions + products + services" [16][19]. Group 5: Caution and Challenges - Some companies, like Aimeike, are cautious about AI adoption, focusing instead on upgrading existing product technologies [19]. - The high costs associated with AI development and the potential for regulatory challenges related to AI diagnostics are significant considerations for companies in the sector [19][20]. - The reliance on high-quality data for AI model training poses challenges due to the privacy and fragmentation of medical beauty data [19].