Core Insights - Despite rapid growth in Asian economies, they face a stagnation in productivity, primarily relying on incremental investments rather than improvements in total factor productivity [1][2] - Southeast Asian leading companies have consistently shown lower productivity growth compared to global averages throughout the 2010s, with concerns raised by executives regarding issues like aging populations and ineffective public policies [2] - The traditional approach of increasing workforce numbers to solve productivity issues is becoming unsustainable due to labor shortages and an aging workforce [3] Group 1: Productivity Challenges - Asian economies are experiencing a productivity stagnation, with GDP per capita ratios indicating a lack of progress or even decline [2] - Executives express concerns about productivity issues stemming from various factors, including demographic changes and the rise of remote work [2][3] - The reliance on cheap labor for expansion is diminishing as economies become wealthier and face labor shortages [3] Group 2: Technological Adoption - There is a strong desire among Asian companies to adopt new technologies, with 90% planning to implement some form of generative AI in the next three years [4] - However, the actual application of AI models presents significant challenges, particularly for older executives with little experience in AI [5] - The workplace is expected to see a multigenerational workforce, with younger generations being more digitally literate and expecting advanced technology in their work environments [6][8] Group 3: Generational Dynamics - The younger generation, particularly Generation Alpha, is anticipated to have superior digital skills compared to previous generations, yet current HR leaders are unprepared for this shift [7] - Companies are encouraged to view younger employees as essential sources of expertise and to implement reverse mentoring programs to facilitate knowledge transfer [9][10] - The composition of boards in leading companies still predominantly features older generations, highlighting a gap in representation of younger voices [10]

作为全球顶级工业贸易展会，2025 汉诺威工业博览会已于 4 月落下帷幕，但其展示的最新工业物联网技术趋势却在持续对产业产生着深远影响。 此前，知名物联网市场研究机构 IoT Analytics 派出 20 名团队成员深入汉诺威实地，走访了 400 多个展位，进行了 300 多次个人访谈，并将这一切汇总成 洞察报告，于近日发布。 坏消息是——2025 年汉诺威工业博览会并未带来任何全新且突破性的技术突围；好消息是——它展现了一场由人工智能引领的变革，贯穿了从研发、制 造到服务和运营的整个制造生命周期。IoT Analytics 的市场研究表明，GenAI 的出现在过去两年中推动了人工智能采用率的提高，而如今，人工智能首次 在展会现场清晰可见，向更智能边缘的转变也显而易见；更值得关注的是，代理型人工智能（Agentic AI）显然是产业下一个重大事件，尽管这可能还需 要几年时间。 本文将综合 IoT Analytics 研究报告和网络公开资料，分享最新的工业智能风向。 AI 经历了感知 AI、生成式 AI 阶段后，现在进入了代理型 AI （Agentic AI）阶段，2025 年，则是被诸多科技大佬们视为 Ag ...

5月19日消息，英伟达CEO黄仁勋在中国台湾出席台北国际电脑展（COMPUTEX 2025），发表主题演 讲。 在演讲中，黄仁勋首先强调了英伟达从芯片制造商向AI基础设施领导者的转变。他指出，AI和加速计 算正在重塑计算机行业，推动"第四次工业革命"，并将从云端扩展到边缘计算，改变数据中心、机器人 和自动驾驶等领域。 黄仁勋详细介绍了英伟达在AI基础设施方面的进展，包括构建数据中心、开发专用库（如cuQuantum、 cuDSS等）以加速不同领域的应用，以及推动电信业的软件定义化。他还展示了GeForce RTX 50系列显 卡在AI驱动下的光线追踪技术，并强调了CUDA和相关库在加速计算中的核心地位。 此外，黄仁勋介绍了英伟达在AI推理和生成式AI方面的突破，包括推理型AI、物理AI和代理型AI的发 展，以及如何通过Grace Blackwell系统实现高性能计算。他表示，生成式人工智能赋予了我们一次性人 工智能。智能远不止是你从大量数据中所学到的东西，代理型人工智能基本上就是理解、思考和行动， 是数字形式的机器人。这些将在未来几年变得非常重要。他还宣布了与富士康、台积电合作建造巨型 AI超级计算机的计划， ...