快速发展的生成式人工智能不仅是一场技术革命——更是一股重塑商业模式、重新定义人才战略的变革 力量。对于正在探索这一新格局的组织而言，成功是否取决于人工智能与人类专业知识的无缝融合？本 场会议将分享亚太地区领先企业的洞见，并探讨人工智能与人类专业知识的结合如何推动创新、提升效 率，并打造更具韧性和适应力的劳动力队伍。 主题： 人工智能在工作场景的应用：重构商业与人才战略（与埃森哲联合呈现） 时间： 2025年11月13日（星期四）上午11:00 – 中午12:00（新加坡时间SGT） 演讲嘉宾阵容： Will Brown，渣打银行人力资源总监 Gastón Carrión，埃森哲董事总经理、人才与组织亚太区主管 Rowena Yeo，强生公司首席技术官兼技术服务副总裁 Connie Zheng，南澳大学UniSA商学院人力资源管理副教授 讨论主持人： Nicholas Gordon，《财富》亚洲版（Fortune Asia）编辑 《财富》(Fortune) 即将举办一场主题为"人工智能在 工作场景的应用:重构商业与人才战略"的线上研讨会。 快速发展的生成式人工智能不仅是一场技术革命 更是一股重塑商业模式、重新定 ...

消费市场正在经历一场由年轻世代引领的深刻变革。当1995年至2009年间出生的Z世代和2010年后出生的α世代在消费市场中扮演更重要的角色，代际变 迁下消费方式及需求的转变也影响着以消费为中心的行业和企业，其中不乏人工智能技术浪潮的推动。 9月25日，2025年《财富》世界500强峰会现场。从左至右为：《财富》中国执行主编章劢闻，BCG中国区主席、董事总经理、全球资深合伙人廖天舒 9月25日，在广州举办的《财富》世界500强峰会上，BCG中国区主席、董事总经理、全球资深合伙人廖天舒分享了对当下中国消费趋势的观察，"下沉市 场有着较强的消费需求，并反向影响一、二线城市的消费。消费群体中，银发族和年轻人的消费信心更强。" 廖天舒认为，"以旧换新"等刺激性消费促进了整体消费修复回暖，但存在"局部繁荣、快速迭代"等发展不均匀的现象。而消费者对生活必需的基本品类精 打细算的同时，仍愿意为情绪买单，如潮玩Labubu、电影《哪吒2》、旅游、户外、演唱会以及苏超等体育赛事，这些爆火的IP、产品及其背后的赛道有 着旺盛的消费需求。 除了为提供情绪价值的消费品买单，年轻消费者对家电等生活必需品，也在发掘不同于传统领域的细分需求 ...

9月25日上午，2025年《财富》世界500强峰会 "城市与企业共同高质量发展广州咨询活动"成功举办。作为本届峰会首次设立的重要环节，活动旨在构建 城市与《财富》500强企业的高层级对话平台，推进双方的交流与合作。广州市市长孙志洋主持本次座谈，并与财富媒体集团、沃博联、采埃孚、丹纳 赫、波士顿咨询、翱兰农业等全球杰出企业负责人深入交流，共商城市与企业协同高质量发展路径，为广州 "十五五" 规划编制注入企业家智慧。 孙志洋代表广州市委、市政府对各位企业家表示欢迎，介绍广州战略规划和发展机遇，认真听取大家对广州"十五五"规划的意见建议。他说，当前，广州 正抢抓粤港澳大湾区和国际消费中心城市建设战略机遇，聚焦"6+4"城市性质和核心功能，全力构建"12218"现代化产业体系，实现生产、生活、生态融合 发展，为全球企业、投资机构和人才发展提供更广空间、更好环境。真诚欢迎广大企业投资广州、深耕广州、推介广州，做城市的产业领军人、创新同路 人、价值投资人、城市合伙人。广州将进一步打造产业版营商环境，加大力度降低制度性交易成本、扩大制度型开放，实现城市与企业发展相互赋能、双 向奔赴、合作共赢。 座谈中，企业家们结合企业发展 ...

Core Insights - The article emphasizes the importance of understanding consumer needs to achieve "real growth" in the infant and maternal industry, as discussed by the CEO of Mead Johnson China, Xiao Jingjing, at the Fortune Global 500 Summit [1][3]. Group 1: Industry Challenges and Opportunities - The global economy is facing multiple transformative forces, including the rise of artificial intelligence and an aging population, which pose challenges such as fluctuating birth rates and rational consumer behavior in the maternal and infant industry [3]. - Mead Johnson's philosophy is centered around providing the best start for babies, aligning with mothers' enduring wishes, and driving product innovation through scientific evidence [3][4]. Group 2: Scientific Research and Product Innovation - Mead Johnson has a long history of scientific research, having accumulated over 1,080 global patents and more than 100 scientific research outcomes, which have been cited over 9,200 times in the industry [4]. - The company has pioneered the exploration of Milk Fat Globule Membrane (MFGM), a key component in breast milk, which contains over 1,000 nutrients and plays a significant role in infant immune development and cognitive growth [6]. - Recent studies published in top academic journals have confirmed the positive effects of MFGM on cognitive development in infants, demonstrating its importance in enhancing brain structure and function [7]. Group 3: Product Development and Market Strategy - Mead Johnson has developed a comprehensive nutritional solution for all life stages, addressing market challenges posed by demographic changes, with products targeting both infants and older adults [8]. - The company has strengthened its brand trust through various initiatives, including collaborations with health associations and engaging in educational outreach to alleviate parenting anxiety [10].

中国汽车行业仍在加速前进。未来十年，汽车产业或将继续经历远超过去百年的变革。 面对科技企业跨界进入汽车领域带来的挑战，作为传统车企的掌舵者，冯兴亚表示，建立企业核心壁垒时，要"有矛有盾"——进攻的"矛"是科技创新，通 过合作将智能化短板尽快补足；防御的"盾"则是传统汽车所擅长的品质安全保障。 他表示，智能化确实满足了消费者对于新潮的追求，但一个很大的潜在风险是对安全问题的忽视，这会让企业遭受反噬。"汽车就是老虎，开车就是骑在 老虎背上，品质安全非常重要。" 9月25日，在2025年《财富》世界500强峰会上，广州汽车集团股份有限公司董事长冯兴亚分享了他对于行业现状的思考，和对未来发展的畅想。 冯兴亚表示，汽车产业目前正处于"四期叠加"——产业变革期、技术快速迭代期、自身管理模式重构期，和产业竞争格局的重塑期。 当下，国内汽车品牌激战正酣，已有多个品牌在过去两年的竞争中倒下。市场上关于"哪几家车企能最终得以生存"的讨论不绝于耳。 而冯兴亚则乐观得多。他认为，十年之后，全球前十大汽车厂商中，至少有三家，甚至是三到五家是中国企业。"不是能活三到五家的问题，而是在全球 前十大车企中会有三到五家。" 这一乐观预期源于中 ...

Core Insights - The article highlights the recognition of Zhongke Yaolu Boat as a significant player in the intelligent perception sector, marking its entry into the 2025 "China's Top 50 Tech Companies" list by Fortune, showcasing its rapid growth and innovation in the industry [1][7]. Group 1: Company Overview - Zhongke Yaolu Boat is a hard-tech AI enterprise incubated by the Chongqing Liangjiang New Area and the Xi'an Institute of Optics and Precision Mechanics, part of the Chinese Academy of Sciences [8]. - The company has expanded its operations from the western region to the Yangtze River Delta, establishing a presence in Yancheng, Jiangsu, which is crucial for integrating into China's core manufacturing ecosystem [8]. Group 2: Technological Advancements - Zhongke Yaolu Boat has shifted its focus from merely hardware production to developing comprehensive "perception-decision" capabilities, integrating "light + AI" technologies to redefine industrial vision standards [7][10]. - The company has invested heavily in R&D, with over 25% of its revenue allocated to research for three consecutive years, resulting in 210 core intellectual property rights [18]. Group 3: Product Innovations - The company has developed a 5G intelligent welding inspection big data platform and an AI visual quality inspection system for the entire manufacturing process of new energy vehicles, covering over 360 inspection stations [11][12]. - In the semiconductor sector, Zhongke Yaolu Boat has broken through two major bottlenecks in Micro LED display technology, facilitating its mass production [13][15]. - The launch of a visualization laser radar camera enhances geological disaster early warning and intelligent vehicle perception, capable of detecting objects in extreme weather conditions [20][24]. Group 4: Industry Impact - The recognition of Zhongke Yaolu Boat signifies a shift in China's technology evaluation system towards hard-core innovation, emphasizing deep industry understanding and long-term technological investment [28]. - The company represents a new wave of innovators in China, poised to influence global markets as it continues to advance in the "light + AI" integration across various industries [31].

2025年8月，CAYE咖爷科技创始人荣登《财富》中国40岁以下最具潜力的商业精英榜单。国产高 端咖啡机，势不可挡。 导语 2022年初冬的上海，在走访众多连锁咖啡品牌后，咖爷科技的创始人吴鹏发出一个真切的疑问："为什么没有一家连锁咖啡品牌使用国产咖啡机？" 彼时，中国咖啡行业正在狂奔突进——百花齐放的连锁品牌与日益提升的人均消费杯量，无不预示着咖啡文化的成熟。2023年，中国已经成为全球 咖啡馆数量最多的国家。 2017-2025年中国现磨咖啡市场规模及预测。资料来源：《2023—2024中国咖啡行业年度发展报告》 然而在上游设备领域，率先抓住这一增长机遇的，却是欧洲进口品牌。 背靠中国完善的产业链，国产咖啡机为何未能杀出重围？带着这个疑问，吴鹏创立了咖爷科技，立志从零部件自主研发开始，打造一款真正"对标欧 洲进口品牌"的专业咖啡机。 咖爷科技苏州总部所在办公楼 三年后，咖爷科技旗下首款超级全自动咖啡机Smart X系列已经进入全球80+个国家和地区，以划时代的创新设计和极具突破性的商业解决方案， 打破了欧美品牌的百年技术垄断，让"中国智造"走进全世界的咖啡馆。 反观国产阵营，早已跳出"低端模仿"的局限，在 ...

2025年4月，美国 食品与药品监督管理局（ FDA ） 宣布一项引爆研发范式革命的里程碑政策： 在药物研发中逐步以新方法学（ NAMs）替代传统动物实验。这不仅意味着监 管格局发生根本性 转变，更宣告以 AI 驱动的高精度计算机模拟与多尺度预测模型等前沿工具，正式从 "实验室里的 辅助工具"升级为"被监管正式认可的证据" 。 政策绿灯已亮，但真正的竞赛才刚刚开始：如何将这一历史性机遇转化为研发效率的倍增？药企面 临的挑战不再只是技术采纳，而是如何精准选择兼具预测力、可解释性与合规性的 in silico模型工 具——这正是将政策红利转化为市场优势的关键。 图片由焕一生物提供 创新药的十字路口：高风险与高投入并存 根据 《2025-2030年全球及中国创新药行业市场现状调研及发展前景分析报告》 显示 ， 如今一 款创新药的平均研发成本已 经 突破 20亿美元，从早期研究到上市平均需要10 年至 15年 的 时 间，但临床试验 的 成功率却在不断下降 ——药物在临床I期的失败率上升了1.5倍，而II期转III期的 失败率达到了80.5%。背后 的 关键原因在于， ADC（抗体偶联药物）、CAR-T细胞疗法、 m ...

Core Viewpoint - The article discusses Orange's ambition to develop a "super app" called Max it for the African and Middle Eastern markets, inspired by China's WeChat model, aiming to provide comprehensive communication and subscription management services [7][9][10]. Group 1: Orange's Market Strategy - Orange is a leading telecommunications operator in Europe, the Middle East, and Africa, serving 300 million users across 26 countries [3]. - The company aims to replicate the success of Chinese mobile internet by launching Max it, which will cater to the unique needs of the African market [9][10]. - The average price of mobile devices in sub-Saharan Africa is around 60 euros, necessitating a low-cost, feature-rich application to meet user demands [9]. Group 2: Collaboration with Tencent Cloud - Orange partnered with Tencent Cloud to develop Max it, enhancing its capabilities significantly within a year [12][17]. - The collaboration focuses on localizing technology and adapting it to meet the specific needs of African users, rather than simply copying existing models [18][21]. - Tencent Cloud's expertise has allowed Orange to accelerate the development of new features for Max it, including messaging, video, and music functionalities [12][14]. Group 3: Local Adaptation and Innovation - The partnership emphasizes the importance of local adaptation, with Orange employing local talent to build a sustainable ecosystem [14][15]. - A phased approach is being taken to customize solutions for different countries, ensuring that the app meets diverse market expectations [15][18]. - The goal is to create a long-term, successful digital economy in Africa, similar to the sustained growth of WeChat in China [19][21]. Group 4: Historical Context and Future Outlook - The article draws parallels between historical advancements in telecommunications and the current efforts to leverage Chinese technology in Africa [20][22]. - The aim is to transform the lessons learned from China's market into a framework that can be applied globally, particularly in emerging markets [20][21].

Core Insights - The article highlights the paradox of high consumption and low returns in the AI industry, emphasizing that 95% of generative AI investment projects fail to deliver expected financial returns, with only 5% achieving commercialization [1][4] - Beijing Zhongguancun KJ Technology Co., Ltd. is positioned as a leading player in the enterprise-level AI model application market, having established a strong foothold by focusing on vertical applications rather than chasing trends [1][3][4] Market Dynamics - By mid-2025, the daily consumption of enterprise-level AI models in China is projected to reach 10.2 trillion tokens, equivalent to 46 billion 2,000-word articles, indicating a massive demand for AI solutions [1] - The article discusses the shift from a "technology showcase" era to a focus on "value realization" in AI, where deep engagement in vertical sectors is essential for successful AI integration [1][4] Company Strategy - Zhongguancun KJ's strategy began with a "reverse layout" in 2014, focusing on intelligent audio and video technology instead of mainstream computer vision, which has become a core asset for connecting businesses with customers [4] - The company has strategically chosen to concentrate on enterprise-level intelligent interaction scenarios, particularly in the smart customer service sector, which is seen as a critical entry point for large model applications [4][12] Competitive Position - In the latest IDC report, Zhongguancun KJ ranks fourth in the Chinese intelligent customer service market, leading among AI model companies [5] - The company’s approach emphasizes that the winners in the AI arms race will be those who can translate model capabilities into commercial value, rather than merely possessing the largest models [6] Implementation Framework - Zhongguancun KJ has proposed a "platform + application + service" three-tier engine strategy to accelerate the deployment of vertical AI models, addressing core issues of usability and effectiveness in enterprise applications [13][16] - The company aims to create a closed-loop system that activates enterprise data assets, integrates various AI capabilities, and continuously optimizes performance through iterative feedback [12][16] Industry Applications - The article provides examples of successful collaborations across various sectors, including finance, manufacturing, and infrastructure, showcasing how Zhongguancun KJ's AI models enhance operational efficiency and knowledge transfer [18][19][21][22] - Notable projects include a training platform for securities firms that improves training efficiency by 70% and a model for the shipbuilding industry that enhances intelligence analysis efficiency by 60% [19][21] Conclusion - The article concludes that the true value of AI lies not in the amount of computational power used but in the ability to understand and address industry-specific challenges, marking a shift from theoretical to practical applications in AI [25][26]