Core Viewpoint - The strategic investment by Zhong Shanshan in Jinbo Biological is seen as a significant move into the collagen protein sector, indicating confidence in the company's growth potential and the broader medical beauty industry [2][8]. Group 1: Investment Details - Jinbo Biological announced the introduction of strategic investors, raising a total of 3.4 billion yuan, with 2 billion yuan allocated to the issuance of shares to Yangshengtang [2][3]. - Zhong Shanshan, through Yangshengtang and Hangzhou Jiushi, will hold a combined 10.58% stake in Jinbo Biological after the transaction [5][6]. - The investment aims to enhance Jinbo Biological's production capabilities and market reach, leveraging Yangshengtang's resources [10]. Group 2: Company Performance - Jinbo Biological reported a revenue of 1.443 billion yuan in 2024, marking an 84.92% year-on-year increase, with a net profit of 732 million yuan, up 144.27% [15]. - The company boasts a high gross margin of 92.02% and a net profit margin of 50.68%, reflecting strong profitability [15]. - Jinbo Biological is recognized as a leader in the recombinant human collagen field, having achieved significant technological breakthroughs [15]. Group 3: Market Context - The medical beauty sector is becoming increasingly competitive, with Jinbo Biological facing challenges from rivals like Juzhi Biological and Marubi [11]. - Yangshengtang's recent performance has been lackluster, with its main companies, Nongfu Spring and Wantai Biological, showing minimal revenue growth [13][14]. - The investment by Zhong Shanshan may be a strategic move to diversify and seek new growth avenues amid stagnation in his existing businesses [13][16].

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].