光华博思特：2026年中国AI智能体营销趋势与发展报告蓝皮书

Core Insights - The report highlights that the year 2025 will witness an explosion of AI, leading to a transformation in business and marketing paradigms, with AI agents evolving from passive tools to active participants in reshaping commercial landscapes [1][6]. Group 1: AI Agent Development and Capabilities - AI agents are categorized into product-type, embedded-type, and multi-agent collaboration systems, with most current products not fully reaching level L3 capabilities [1][13]. - The core advantage of AI agents lies in their "brain + hand" collaborative structure, enabling them to autonomously decompose complex tasks and execute them, thus transforming human-machine collaboration [1][16]. - AI agents are defined as autonomous entities capable of perceiving environments, making decisions, and executing actions to achieve specific goals [11][21]. Group 2: Industry Applications and Trends - The industry landscape shows a pattern of "pioneers leading, the masses following, and the long tail observing," with sectors like retail, automotive, and finance deeply integrating AI agents [2]. - AI agent marketing, as a core application area, differs from traditional marketing automation by being intent-driven, featuring proactive planning, complex interactions, and continuous evolution across four major segments [2]. - Companies like Abundant Foods have successfully utilized five AI agents in collaboration to significantly enhance sales performance and conversion rates, exemplifying traditional industry transformation [2]. Group 3: Business Logic and Strategic Framework - The evolution of business logic is shifting from "channel dominance" to "recommendation authority," with consumer behavior transitioning from planned purchases to agent-based decision-making [2][23]. - The report proposes a comprehensive "All-Domain Intelligence" strategy framework, encompassing value definition, efficiency transformation, ecological operation, and AI intelligence, providing a systematic action guide for enterprises [2]. - Companies are encouraged to shift their mindset towards API-driven services, foster human-machine collaboration, and engage in ecological competition to build a dynamic data ecosystem in the AI agent-led commercial era [2].