Core Viewpoint - The article emphasizes that China possesses the best environment for AI development, leveraging vast amounts of internet, industrial, and scenario data to foster growth in the AI sector [2]. Group 1: AI Development Landscape - The global AI industry is shifting focus from hardware competition to ecosystem building, with China's unique approach reshaping the global AI competitive landscape [2]. - The 2025 AI Partner Conference, co-hosted by 36Kr and CEIBS, aims to showcase AI applications across various industries and explore innovative models of the "Chinese solution" [2]. - 36Kr CEO Feng Dagang states that the current period can be described as the "summer of AI," highlighting China's potential to produce top-tier AI software and hardware [2]. Group 2: AI Integration in Business Education - CEIBS is exploring the integration of AI into business education, proposing a "AI+BI+HI" model to enhance commercial education [4]. - The focus is on practical applications of AI in business contexts, aiming to create a "Chinese solution" for educational practices [4]. Group 3: Hardware and Software Collaboration - The AI industry is entering a critical phase of deep collaboration between hardware and software, addressing technical challenges such as endurance and precision [7]. - The need for comprehensive innovation rather than simple replacement is emphasized for successful AI integration in businesses [7]. Group 4: AI Applications in Various Sectors - AI is being positioned as a transformative force across multiple sectors, with specific applications in human resources, healthcare, and entertainment [30]. - Companies are leveraging AI to enhance operational efficiency, such as in recruitment processes and content production, significantly reducing costs and improving quality [30][36]. Group 5: Future Directions and Challenges - The article discusses the challenges of AI transitioning from models to practical applications, emphasizing the importance of matching technology with real-world needs [30]. - The AI Agent 2025 competition aims to foster global innovation and ecosystem development, with over 500 projects submitted [40]. - The article concludes that the "Chinese solution" offers a unique perspective on addressing common challenges in global AI development, focusing on a collaborative approach across hardware, software, and ecosystem [48].

8月27日，由36氪与中欧国际工商学院联合主办的2025 AI Partner百业大会于北京中关村软件园盛大启 幕。本次大会以"中国式方案"为主题，分为"中国式方案"和"谁来定义下一个人工智能时代"两大篇章， 围绕"中国式创新的黄金时刻""超级智能体能否成为下一代AI的核心形态""中国式方案重塑世界科技竞 争格局""AI+千行百业融合创新的繁荣景象"四大话题，全方位集中呈现中国AI的最新突破与生态体 系，分享中国式AI的成长路径和未来前景，探索中国式方案的创新模式。 当日，碳阻迹创始人兼CEO晏路辉带来了《AI Agent，定义下一代碳管理》主题演讲。 以下为致辞内容，经36氪整理编辑： 尊敬的各位朋友： 大家好，我是来自碳阻迹的晏路辉。今天想和大家分享一个非常垂直的领域 —— 碳中和领域的 AI 智 能体（Agent），以及我们在这个方向上的探索与最新成果，希望能给对这个话题感兴趣的伙伴带来一 些启发。 我们之所以投入大量精力、成本研发 AI 智能体，核心是因为要解决的问题 —— 全球变暖和气候变化 应对 —— 本身具有极高的严峻性与挑战性。当前，全球平均温度较工业革命时期已上升 1.55 度，而本 世纪末 ...

在全球碳中和进程加速推进、企业碳管理需求从合规性向价值创造升级的转型阶段，人工智能技术正重 塑着碳管理行业。 "当前碳管理的核心矛盾，在于效率提升与深度管理的失衡。"近日，在2025GCMC.中国碳管理论坛 上，碳阻迹创始人兼CEO晏路辉对21世纪经济报道记者指出。 总体来看，晏路辉将碳管理划分为"上下半场"。上半场合规性工作可被AI替代，下半场则聚焦范围3碳 排放管理、供应链碳管理、高质量碳信用等复杂领域。 根据《温室气体核算体系》(GHG Protocol)，范围三排放包括价值链中不受公司直接控制的间接排放， 共分为15个类别。据晏路辉介绍，商务旅行、员工通勤等简单场景已可通过AI统计碳数据，但融资等 类别因碳管理规则不明，仍需人力探索。 碳管理下半场，企业该做好怎样的准备？ "企业可通过购买碳信用抵消范围3碳排放，但需遵循SBTi等标准，而标准存在动态调整(如部分领域从 允许到不允许的反复)。"晏路辉对记者表示，对于高质量碳信用，其核心指标包括长久性，如碳汇需长 期稳定，避免"今年种树次年被毁"的无效信用；动态发展的额外性，如新能源项目碳信用的额外性认可 度已下降，以及对碳移除技术的关注。 晏路辉强调， ...