陈天桥：AI 时代别再用KPI管理了！像给自动驾驶画轨道

Core Viewpoint - The emergence of AI agents is fundamentally challenging traditional management practices, suggesting a shift from "better management" to "management's exit" in organizations [2][3] Group 1: Traditional Management Limitations - Traditional KPIs are likened to tracks for employees, necessary due to human limitations, but are inadequate for AI agents that possess "eternal memory" [2] - Traditional management tools like KPIs, hierarchical structures, and incentive mechanisms are designed to compensate for human cognitive limitations rather than enhance organizational intelligence [2] Group 2: AI-Native Enterprises - AI-native enterprises must undergo five fundamental rewrites at the genetic level: architecture as intelligence, growth as compounding, memory as evolution, execution as training, and humans as meaning [3] - The ultimate form of an AI-native enterprise focuses on a new operating system centered on "cognitive evolution," moving away from reliance on outdated management logic [3]