Core Insights - The concept of "Artificial Intelligence +" is gaining traction in China, with policies driving its integration across various industries, aiming to inject strong momentum into economic growth [1][3] - IDC's President in China, Huo Jinjie, emphasizes that top-level design is creating opportunities, shifting the digitalization process from resource migration to value creation [1][3] AI Terminal Development - By 2027, the penetration rate of new intelligent terminals and AI applications is expected to exceed 70%, with rapid growth in the core industries of the intelligent economy; by 2030, this rate is projected to exceed 90% [3] - The IT terminal market is anticipated to experience a dual explosion of "stock replacement + incremental innovation" by 2026, with AI terminals becoming key productivity tools for economic transformation [3] Computing Power Trends - The industry is likely to adopt a "compute as a service" model, allowing for flexible payment and on-demand usage of high-performance computing resources [4] - The construction of an integrated computing power network will provide foundational support for value creation, with cross-domain scheduling and heterogeneous computing power delivery becoming the norm [4] Green Computing Initiatives - Green ICT is becoming a critical benchmark for enterprise transformation, with liquid cooling, energy efficiency platforms, and green electricity expected to be standard for large projects [4] - Companies must reshape their KPI systems to include green metrics such as PUE (Power Usage Effectiveness) and WUE (Water Usage Effectiveness) [4] Scene Engineering and Digital Transformation - Successful implementation of scene engineering will unlock the full value of computing power, requiring enterprises to move from fragmented pilot projects to end-to-end scene deployment [5] - Data compliance is a significant challenge in digital transformation, with the proliferation of AI-generated data complicating data governance [5] Talent Development - There is a pressing need for hybrid AI talent that possesses both depth and breadth of knowledge, understanding industry processes and effectively utilizing AI tools [5] - Companies should focus on productizing governance capabilities related to compliance, risk, and energy efficiency before scaling their operations [5]