企业管理软件是不是和AI无关？

Group 1 - The article discusses the evolution of AI technology and its integration into various devices, transitioning from PCs and smartphones to future applications in AR/VR, smart cars, drones, and humanoid robots [1][2][4]. - It highlights the shift from traditional input methods, such as physical keyboards, to voice-based interactions, particularly among different age groups [5][6]. - The article raises questions about the relevance of enterprise management software in an era where input and output capabilities are diminishing with new technologies [6][7]. Group 2 - The transition from search engines to AI models for information retrieval is emphasized, with companies adapting their content to be more accessible to AI models through MCP (Model Compatibility Protocol) [8][10]. - The article notes the trend of companies globally opening APIs and integrating with public AI models, while in China, there is a focus on private deployments of domestic models like DeepSeek [15][16]. - It categorizes enterprise personnel into three layers: decision-making, management, and frontline execution, and discusses the use of AI in enhancing decision-making and execution processes [18][19]. Group 3 - The article explores the relationship between AGI (Artificial General Intelligence) and AIGC (AI Generated Content), suggesting that both capabilities are being developed simultaneously [20]. - It identifies AI-generated code as a critical intersection of AGI and AIGC capabilities, allowing AI to expand its functionalities [22]. - The challenges of traditional enterprise management software, particularly the inflexibility of hard-coded solutions, are discussed, along with a new approach using AI to generate and optimize code for specific tasks [23][24][26].