GAC GROUP(SH:601238) Sou Hu Cai Jing·2026-02-17 12:48Core Insights - The report "AI Implementation in Progress: Practical Case Studies on Business, Organization, and Talent Upgrades" focuses on the practical paths for enterprise intelligent transformation in the era of AI large models, highlighting the core logic and operational methods for AI implementation [1][2]. Strategic Level - Companies need to elevate AI from departmental projects to enterprise strategy. For instance, GAC Group has implemented a "dual-core" strategy and organizational transformation to build a hybrid cloud architecture and data lake, achieving changes in business, organization, and culture [1][2]. - Alibaba Cloud has introduced the RIDE methodology to promote the quantification of AI value through organizational restructuring, pain point identification, metric definition, and project execution [1][2]. - Starbucks China has gradually advanced the deep application of Agentic AI in retail scenarios based on eight years of digitalization accumulation [1][2]. Talent and Organization Level - Systematic capability building is crucial. China Resources Group has developed a digital talent cultivation system covering 390,000 employees, empowering management, professional, and application talents [2]. - Beiyin Jinke has created a high-density digital team using the "ACT" talent model and "six have" culture [2]. - Alibaba Cloud promotes AI literacy education for all employees and has innovated new roles such as "AI Product Design Front-End Engineer" to reconstruct the developer capability system [2]. Business Implementation Level - Precise scene matching and value closure are core to business implementation. SF Express focuses on the entire logistics chain, achieving over 1 billion dynamic decisions daily with a sustained ROI greater than 1 [2]. - Swire Coca-Cola applies AI in shelf optimization and smart ordering based on a "human-centered" philosophy, amplifying human creativity [2]. - The implementation of enterprise-level AI agents shows four major trends: MCP protocol reduces integration costs, GraphRAG enhances answer consistency, AgentDevOps ensures controllability, and RaaS model achieves value quantification [2]. Overall Insights - The competition in AI has evolved from technology selection to systematic capability building, requiring deep integration of strategic determination, talent density, organizational restructuring, and business data collaboration [2]. - AI serves not only as an efficiency tool but also as a lever for strategic reconstruction and a catalyst for talent upgrades, with its value realization beginning with clear strategic choices and sustained organizational evolution [2].