Core Insights - The AI industry has transitioned into a phase where application is paramount, with major tech companies investing heavily in infrastructure, computing power, and practical applications [1][2] - JD Group has committed to investing over 150 billion yuan in AI research and development, focusing on real industry pain points rather than short-term trends [1][2] Investment and Development - JD Group plans to create a trillion-yuan AI ecosystem over the next three years, showcasing a comprehensive AI strategy at the 2025 JD Global Technology Explorer Conference [1][8] - The company has already invested over 150 billion yuan in R&D, emphasizing a long-term approach to AI development [1][2] AI Product Launches - JD introduced the JoyAI model, which includes a range of products such as the JD Xi App, a digital assistant, and the JoyInside intelligent platform [2][3] - The JoyAI model features innovations across various sizes, from 3 billion to 750 billion parameters, aimed at enhancing low-cost and efficient industrial applications [2][3] Application Platforms - JD has upgraded three deep application platforms: Digital Human Platform 4.0, JoyAgent 3.0, and JoyCode 2.0, focusing on practical applications and open-source strategies [3][10] - The company emphasizes the importance of industry depth in AI value realization, stating that AI's value equals model times experience times industry depth squared [3][4] Market Strategy - JD's AI strategy is rooted in its supply chain expertise, allowing it to address real industry challenges effectively [8][9] - The company aims to create a comprehensive AI service system that covers both consumer (C-end) and business (B-end) applications, ensuring a dual value loop [7][8] Ecosystem Development - JD's future plans include hardware ecosystem partnerships and open-source strategies to build a more inclusive AI industry ecosystem [9][10] - The JoyInside platform has already attracted over 50 leading brands, providing them with comprehensive support for AI integration [9][10] Conclusion - JD's pragmatic approach to AI, focusing on real-world applications and industry integration, positions it as a key player in the evolving AI landscape, aiming to bridge the gap between technology and practical business needs [1][8][10]