360 Security Technology (SH:601360) Xin Lang Ke Ji·2025-10-13 11:02Core Insights - The core viewpoint emphasizes the transition of artificial intelligence from large models to intelligent agents, which are likened to interns or virtual employees, requiring a human-like approach in their management and integration into businesses [1][2]. Group 1: AI Transformation Framework - The framework for AI transformation in enterprises includes treating intelligent agents as "people" and clearly defining their roles [6]. - Initial pilot projects should focus on roles with clear processes and high human resource demands, such as contract review and market research [3]. - Establishing "virtual teams" where multiple intelligent agents collaborate to handle complex tasks is essential [4]. Group 2: Characteristics and Capabilities of Intelligent Agents - Intelligent agents possess four human-like characteristics: autonomous planning, continuous memory, tool usage, and collaborative division of labor, allowing them to exceed traditional Q&A interactions [2]. - The ability of intelligent agents to break down tasks into executable paths through reinforcement learning and task planning is highlighted as a core capability [2]. Group 3: Future Implications and Competitive Landscape - The emergence of intelligent agents is predicted to reshape competitive dynamics, enabling individuals to have multiple intelligent agents working as a "cyber assistant team" [2]. - Companies can achieve the efficiency of larger teams with fewer employees by leveraging intelligent agents, thus creating a new "intelligent agent economy" [2]. Group 4: Human Oversight and Education - Key decisions should retain human oversight to ensure control and management [6]. - There is a call for educational institutions to offer courses on "natural language programming" to cultivate management talent capable of collaborating with AI [6].