Core Viewpoint - The article discusses the evolution of artificial intelligence (AI) as proposed by Chen Tianqiao, highlighting three stages: empowerment, native, and awakening. It emphasizes that true transformation requires a fundamental rethinking of systems rather than merely enhancing existing structures with AI [3][4]. Group 1: AI Stages - AI is currently in the empowerment stage, where businesses add AI as a plugin to existing processes without altering power structures, leading to increased coordination and friction costs without significant efficiency gains [3]. - The next stage, native AI, involves designing processes, organizations, and products from the ground up to be AI-centric, allowing for fluid movement of data, talent, and resources [4]. - The final stage, awakening, will see AI evolve from a tool to an independent entity capable of questioning human assumptions and discovering new scientific and artistic paradigms [5]. Group 2: Management Perspective - Chen argues that the focus should shift from a technical perspective of AI to a management perspective, redefining how organizations interact with AI and its implications for human roles [3][4]. - As AI systems develop long-term memory and knowledge bases, human roles will transition from mere memory carriers to designers and supervisors of memory structures and rules [4]. Group 3: Liquid Business Concept - The concept of "liquid business" is introduced, where organizations become more agile and adaptable, allowing for rapid aggregation and disaggregation of data, talent, and resources in response to needs [4].

Core Insights - The majority of companies are currently in the AI empowerment stage, which involves adding AI plugins to existing processes without altering the power structure, leading to increased coordination and friction costs without achieving true multiplicative effects [1][3] - Chen Tianqiao outlines three stages of AI evolution: empowerment, native, and awakening, emphasizing that true transformation requires a fundamental re-encoding rather than superficial enhancements to existing systems [1][4] Group 1: AI Empowerment Stage - Companies are primarily focused on AI empowerment, which is characterized by integrating AI into old processes, resulting in higher coordination and friction costs without significant productivity gains [3] - This stage is described as a short-term comfortable but ultimately costly dead end, as it does not guarantee higher production efficiency [3] Group 2: AI Evolution Stages - Chen Tianqiao identifies three transformative shifts in AI: from probability fitting to logical reasoning, from text dialogue to tool action, and from statelessness to long-term memory [4] - The evolution of AI is not merely a linear enhancement of capabilities but represents a structural change in cognitive processes, transitioning AI from a skilled language imitator to an independent thinking system [4] Group 3: Liquid Business Concept - As AI progresses to the native stage, businesses will shift from accelerating old processes with AI to designing processes, organizations, and products from first principles to be inherently AI-friendly [4] - This transformation will lead to a more fluid organizational structure where data, talent, and resources can rapidly flow and adapt as needed, resembling the properties of water [4] Group 4: AI Awakening - The third stage of AI development, termed "awakening," will see AI evolve from a high-level executor to a discoverer, capable of exploring uncharted scientific and artistic realms [5] - In this stage, AI will challenge the very questions posed by humans and may even present hypotheses that humans cannot answer, marking a significant shift in the human-AI relationship [5]