McKinsey report: How Gen AI can boost beauty industry by $9B

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Global management consulting firm McKinsey recently released a new industry research report, "How Beauty Players Can Scale Gen AI in 2025 - McKinsey & Company," which provides an in-depth analysis of the application prospects of generative AI in the beauty industry. In an era of accelerating digitalization, generative AI is redefining the standard of beauty. From personalized marketing to product innovation, AI not only improves efficiency but also profoundly transforms the beauty industry's business model. McKinsey data shows that generative AI is expected to bring $9 billion to $10 billion in incremental value to the global beauty industry...👍👍👍 The widespread adoption of generative artificial intelligence (Gen AI) technology is exacerbating the Matthew Effect in the beauty industry. Companies that are the first to achieve large-scale application will gain a significant first-mover advantage. Through technology-enabled innovation, they will increase market responsiveness and enhance consumer insights, thereby widening the gap with their competitors. Companies that fail to keep pace with technological change risk being marginalized in the fierce market competition. In fact, the common challenge facing beauty companies today isn't whether to adopt generative AI, but rather how to achieve scalable application amidst the rapid technological evolution. McKinsey research suggests that successful companies often employ two key strategies: focusing on the most valuable application scenarios and tailoring solutions to their specific business needs. According to its latest industry research, generative AI has been applied to over ten business scenarios in the beauty industry, encompassing everything from front-end marketing to back-end operations. Given the beauty industry's high demands for speed to market and responsiveness to consumer feedback, four key scenarios hold the greatest potential for development: hyper-personalized marketing, immersive product exploration, rapid packaging concept development, and innovative product R&D. These scenarios have varying levels of maturity. Some, such as customer service chatbots, have already seen widespread adoption, while others are still in their infancy and hold enormous potential for development. #ArtificialIntelligenceTechnology

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