陈天桥发文:当管理退出 认知升起 KPI崩塌了!
Di Yi Cai Jing·2025-12-02 14:50

Core Insights - The future of enterprises will shift from being human-led to being expanded by intelligence, as proposed by Chen Tianqiao, founder of Shengda Group and Tianqiao Brain Science Research Institute [1][2] - Management science will not disappear but will be fundamentally based on intelligence rather than biological limitations [1][2] Group 1: Transformation of Management Paradigms - The emergence of AI agents with advanced cognitive abilities will disrupt the traditional management paradigm, necessitating a shift from a human-centered approach to an AI-native cognitive framework [2][3] - Traditional management systems were designed to compensate for human cognitive limitations, but as AI takes over execution, the foundation of these systems will collapse [2][3] Group 2: Cognitive Anatomy and AI Advantages - Chen Tianqiao highlights three key differences between human employees and AI agents: continuity of memory (eternal vs. ephemeral), holistic cognition (full alignment vs. hierarchical filtering), and endogenous evolution (reward-driven vs. dopamine-driven) [3] - AI agents are not merely stronger employees but represent a new species operating under different physical laws [3] Group 3: Collapse of Traditional Structures - The introduction of AI agents leads to the collapse of traditional KPIs, which were designed for human navigation but limit AI's potential to explore optimal paths [4] - Traditional oversight mechanisms are becoming redundant as AI agents execute tasks based on understanding rather than supervision [4] Group 4: Definition of AI-Native Enterprises - AI-native enterprises require a new operating system focused on cognitive evolution rather than resource planning, characterized by five aspects: architecture as intelligence, growth as compounding, memory as evolution, execution as training, and humans as meaning-makers [4][5] - The article emphasizes the need for organizations to evolve their structures to maximize data throughput and intelligent emergence rather than merely managing risks [5] Group 5: Industry Trends and Implications - The impact of AI on organizational structures is gaining global attention, with consulting firms noting a reduced demand for generalist analysts and a shift towards mid-career professionals with specialized knowledge [5] - Companies are moving towards a "box model" structure, where the number of senior and junior employees is becoming more balanced, relying on experienced professionals rather than a large number of junior analysts [5]