3年50亿！安踏欲用AI数字技术重塑体育产业新生态

Core Viewpoint - The Chinese sports industry aims to exceed 7 trillion yuan by 2030, with a significant transition from scale expansion to value upgrading by 2025, marking a critical year for "AI + Sports" development [1] Group 1: AI Strategy and Innovations - Anta Group launched its "AI365 Strategy" and the first AI design model in the sports goods industry, named "Linglong Design Model," at the second Sports Goods Industry Innovation Conference [1][3] - The "AI365 Strategy" encompasses three main directions: efficiency-oriented AI, growth-driven AI, and user experience-oriented AI, covering six business application areas including marketing, design, and supply chain [7][8] - The Linglong Design Model enhances design efficiency by 400%, reduces the time to develop popular products by 80%, and increases the selection rate of design proposals by 30% [5][10] Group 2: Digital Transformation and Industry Impact - The introduction of the Linglong Design Model is seen as a landmark event for the digital transformation of China's textile and apparel industry, providing a quantifiable and practical path for traditional industries [6][10] - Anta's AI initiatives are expected to reshape the competitive landscape of the sports goods industry, moving the focus from brand marketing and channel expansion to efficiency and value competition [14][17] - The company has committed to investing an additional 20 billion yuan in R&D over the next five years, building on a decade of innovation investment totaling 20 billion yuan [11][12] Group 3: Market Position and Future Goals - Anta aims to achieve over 50% internal AI usage and create value exceeding 5 billion yuan within three years, reflecting its commitment to digital transformation [12][14] - The company envisions becoming a world-leading multi-brand sports goods group, focusing on brand value, technological innovation, and market share [15] - Anta's AI strategy serves as a reference model for domestic sports goods companies, demonstrating that technological innovation must align with industry logic and user needs to drive global competitiveness [17]