"乞丐思维"指的是一些企业在数字化转型建设过程中，只求索取、不愿付出的短视心态，如同乞丐般伸 手讨要各种资源、创意，却不愿意为他人的劳动成果而付费，或者说耍一些小聪明想利用他人的成果玩 弯道超车，用行业话说就是"白嫖"，这种心态不仅损害了原创作者的权益，也破坏了市场的公平竞争环 境。 那么在企业数字化转型建设过程中有哪些"白嫖"的现象呢？ 技术方案窃取 一些企业在寻求数字化转型方案时，会以项目招标或合作洽谈为由，邀请多家数字化服务提供商参与。 在这个过程中，详细询问对方的技术架构、实施步骤、创新点等核心内容，甚至要求服务商提供完整的 方案文档。 比如 某制造企业计划 搭建 智能供应链管理系统，招标阶段吸引了 8 家业内知名的数字化方 案商参与。在长达三个月的洽谈中，企业要求各服务商不仅要提供系统架构图、功能模块设计，还需包 含详细的运营策略及未来三年的迭代规划。 但 最 后该 企业 用一个简单的借口 终止招标流程，却在半 年后 自行开发 推出了与其中一家服务商方案高度相似的平台与系统，而该服务商此前投入了数十人 天 的工作量用于方案设计 与优化 ，却未获得任何回报。 无限期享受"免费试用" 部分企业在试用数字 ...

Core Insights - The core industry scale of industrial internet in China exceeds 1.5 trillion yuan, driving economic growth of nearly 3.5 trillion yuan, with artificial intelligence becoming a key variable in the development of industrial internet [1] Group 1: Industrial Internet Development - The industrial internet has expanded to cover 49 categories of the national economy, achieving full coverage of 41 industrial categories, with over 6.5 trillion identification registrations and connections to over 100 million industrial devices [2] - A multi-level platform system has been established, consisting of 49 cross-industry platforms and over 200 specialized platforms, supporting a wide range of application needs from general to industry-specific [3] Group 2: AI Integration in Industrial Applications - AI technology is being deeply applied in industrial scenarios, with companies like 蓝卓数字科技 leveraging their "supOS" factory operating system to facilitate digital transformation across over 8,000 factories in various industries [4] - 卡奥斯 has upgraded its "twin manufacturing integrated platform," which merges virtual production with physical manufacturing, optimizing the entire manufacturing lifecycle [5] - AI applications in engineering machinery and supply chain management have demonstrated significant efficiency improvements, such as a 60% increase in energy replenishment efficiency and a 30% improvement in inventory turnover [6][7] Group 3: AI and Industrial Internet Synergy - The integration of AI and industrial internet has led to the emergence of numerous application models, with a focus on both small models for specific tasks and large models for comprehensive industrial intelligence [8] - The development trend indicates a collaborative fusion of large and small models, where large models handle task planning and coordination, while small models execute specific tasks effectively [8]