"AI时代，IT团队真的成了"绊脚石"？ "企业还需要CIO吗？" 这不是一场单单讲"落地案例"的技术年会，更不是一场"生态互捧"的媒体秀，而是一顿寒风中的思想盛宴。 在湘湖的闭门会场上，一个共识正在浮现：AI肯定确定无疑的趋势，但在具体的方向上"有没有押对"，这是一个关键的问题。 过去一年，从ChatGPT到DeepSeek、千问，再到各类垂直领域Agent，技术演进之快，超出大多数企业的适应速度。而令管理者真正焦虑的，是"我们会不 会错过这趟列车"，或者是不是"下错注"了？ 那应该如何看清市场的方向呢，有没有什么可以衡量的标准？ "未来，企业是不是根本不需要IT团队了？" 这两年，越来越多CEO、创业者开始抛出这样的问题。在生成式AI席卷一切的时代，IT部门常被视为"行动迟缓、不懂业务、做不到AI落地"的代名词。 而"AI原生公司"的神话不断强化这种认知：更少的人、更少的中后台，却跑得更快、成本更低。 在这场技术洪流中，CTO、CIO、CDO的角色，似乎正变得尴尬。当老板们讨论"谁应该成为企业AI战略的主导者"时，答案往往是：业务部门、产品团 队，甚至——外部创业者。 但就在1月的湘湖畔，一场被称为"中国 ...

Core Insights - The consumption of Tokens may become a key economic indicator in the AI era, similar to how electricity consumption was used in the power era [1] - The Smart Computing Innovation Forum held in Hangzhou focused on advancements in AI technologies and their applications across various disciplines [1] - Enhancing model inference efficiency and reducing Token production costs are essential for optimizing AI systems [1] Group 1 - The Smart Computing Innovation Forum was co-hosted by Zhejiang Zhijiang Laboratory and the American Association for the Advancement of Science, attracting experts to discuss AI technology advancements [1] - The CEO of Jieyue Xingchen emphasized the importance of collaborative design between industry players to improve model inference efficiency [1] - The technical chief of the scientific model department at Zhijiang Laboratory highlighted the need for encoding diverse scientific data into a unified digital identifier (Token) for effective model training and inference [1] Group 2 - The application of intelligent systems in unpredictable environments is increasingly important, as noted by a professor from the University of Alberta [2] - The collaboration between different intelligent agents and between humans and intelligent agents in China has shown promising results, making it an excellent testing ground for new technologies [2] - The publisher of the Science series journals emphasized the need for international scientific collaboration to unlock new possibilities [2]