2026“企业 Agent 上岗元年”？零一万物六大判断定义企业多智能体，不再沿用大厂标准化产品模式”

Core Insights - The article presents six key predictions regarding the evolution of enterprise intelligent agents by 2026, emphasizing the transition from single-point tools to comprehensive intelligent management systems [2][3][4]. Group 1: Evolution of Intelligent Agents - Prediction 1: Intelligent agents will evolve from "one person, one tool" to "one person, one team," enabling systemic intelligence across organizations and transforming top talent's capabilities into reusable business assets [5]. - Prediction 2: Multi-agent systems must possess three essential elements: AI Team (collaboration between humans and agents), allowing for flexible scaling of capabilities and reducing dependency on individual experts [6][7]. Group 2: China's Role and Strategic Implementation - Prediction 3: China is positioned to become a global leader in deploying multi-agent systems due to its complete industrial chain, leading open-source models, and vast market [8]. - Prediction 4: Successful AI transformation requires a "top-down" approach, where leadership drives systemic changes rather than isolated technical trials, emphasizing the need for leaders to understand AI's potential [9][10]. Group 3: Autonomous Evolution and Future Workforce - Prediction 5: Intelligent agents will contribute to the autonomous evolution of enterprise digital infrastructure, enhancing knowledge systems and decision-making processes [10]. - Prediction 6: By 2026, the focus of enterprise competition will shift from hiring to managing intelligent agents, with new roles such as "intelligent agent operators" emerging [11]. Group 4: Implementation Framework - The article outlines a three-step approach for enterprises to evolve their multi-agent systems: establishing a comprehensive strategy led by top management, utilizing Forward Deployed Engineers (FDE) to bridge organizational gaps, and fostering collaborative evolution through a mixed-model architecture [14][15][16]. Group 5: Technological Foundations and Future Directions - The foundation of enterprise multi-agent systems includes open-source models and industry-specific frameworks, aiming to create "super digital employees" that directly contribute to business objectives [17][18]. - The article concludes with a vision for the future of agents, highlighting the importance of safety, tool integration, task planning, and multi-model collaboration in enterprise environments [19][20].