Group 1 - The conference "2025 AI Partner Conference" was held in Beijing, focusing on the theme of "Chinese Solutions" and discussing the latest breakthroughs and ecosystem of AI in China [1] - Key topics included the potential of superintelligent agents as the core form of the next generation of AI and the integration of AI across various industries [1] - Professor Tan Yinliang from CEIBS presented on how AI drives business value and productivity enhancement, emphasizing the need to understand AI's impact on the economy and society over the next decade [3][5] Group 2 - The historical context of the electricity revolution was used to illustrate how AI might similarly transform productivity, highlighting that initial technological adoption does not guarantee immediate productivity gains [4][5] - The concept of "management" was identified as crucial for realizing productivity improvements, requiring changes in organizational structure and business processes rather than mere technology substitution [5][6] - The evolution of AI is compared to the electricity era, with current stages including initial technological breakthroughs and early applications, indicating that many companies have yet to see significant impacts from AI [7][8] Group 3 - The upcoming "structural transformation period" is seen as critical for Chinese enterprises, where businesses will need to rethink processes and systems to fully leverage AI [7][8] - The final phase of AI development is expected to be a "mature expansion period," where AI will create new business models and competitive advantages through deep integration into core operations [8]

然而，数据显示，应届毕业生相对整体失业率的上升趋势，早在生成式AI兴起之前的2009年便已开 始。并且，他们当前的实际失业率（约4%）仍处于历史较低水平。若将此归咎于AI，显然缺乏足够依 据。 更广泛的就业数据显示，即便在那些被认为最易受AI影响的白领岗位（如办公室文员、财务操作、销 售支持等），也未出现因AI应用而导致岗位显著减少的迹象。事实上，过去一年，美国白领职业的就 业占比甚至略有上升。 从整体失业率来看，美国依然维持在4.2%左右的低位，薪资增长保持稳健。其他主要经济体如英国、 欧元区和日本，收入增长也呈现积极态势。经济合作与发展组织（OECD）成员国的整体就业率在2024 年更是创下历史新高。 这些现象背后，可能存在两种主要解释： 一、AI为什么还没有替代你的工作？ 根据经济学人的观察，尽管一些学者指出了自动化与特定行业（如翻译）需求下降之间的关联，但美国 官方数据却显示，从事口译、翻译等相关职业的人数，在过去一年中反而实现了7%的增长。这表明， 至少在某些领域，AI的出现不仅没有造成岗位的净流失，反而可能因为提升了行业效率或拓展了服务 边界，间接刺激了新的需求。 另一个值得关注的现象来自企业层面 ...