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]

Core Viewpoint - The article presents a forward-looking judgment that we are witnessing "the twilight of management and the dawn of intelligence," emphasizing a shift from traditional management practices to a new paradigm driven by artificial intelligence [2][3]. Group 1: The Twilight of Management - Management is not an eternal truth but a construct that will be rendered obsolete as human cognitive limitations are replaced by intelligent agents [3]. - The future of enterprise transformation will not be about "better management" but rather the "exit of management" as the reliance on human characteristics diminishes [3]. Group 2: Limitations of Traditional Management - Traditional management tools have been developed to compensate for human cognitive limitations, such as KPI systems, hierarchical structures, and incentive mechanisms, which are essentially "patches" for human brain deficiencies [5]. - Management has never truly enhanced organizational intelligence; it has functioned as a "correction system" to maintain correctness before human cognitive failures occur [5]. Group 3: The Role of Intelligent Agents - Intelligent agents represent a fundamentally different existence in cognitive anatomy compared to human employees, characterized by continuous memory, holistic cognition, and intrinsic evolution [7]. - These agents do not require external motivation and operate based on a reward model, making them distinct from human workers [7][8]. Group 4: The Collapse of Traditional Structures - The introduction of intelligent agents into traditional management frameworks leads to systemic rejection of outdated practices, as the foundational elements of modern enterprises become constraints rather than supports [10]. - Key components such as KPIs, hierarchical structures, incentive mechanisms, long-term planning, and supervision are becoming obsolete in the face of intelligent agents [11][12][13][14]. Group 5: Defining AI-Native Enterprises - AI-Native enterprises must undergo a fundamental rewrite at the genetic level, focusing on architecture as intelligence, growth as compounding, memory as evolution, execution as training, and redefining the role of humans [15][16][17][18][19]. - The ultimate form of an AI-Native enterprise is not about software acquisition but about existing in a biological form that supports intelligent evolution [15][19]. Group 6: The Future of Management - Management will not disappear but will be built on the foundation of intelligence rather than the ruins of biology, leading to a future where enterprises are driven by intelligence that expands human capabilities [21].