当工程师试图用AI取代产品经理，一场新的职场围猎开始了

Core Insights - The article emphasizes the potential risks of decision-making isolation in organizations as individuals in roles like product management, design, and software engineering increasingly rely on AI tools, leading to a siloed approach rather than collaborative efforts [1][2][3] Group A: Unique Value of Each Role - User Experience (UX) designers score highest in the EPOCH framework, indicating their strong emotional intelligence and creativity, which are difficult for AI to replicate [5][6] - Product Managers (PM) follow closely, demonstrating high scores across all five human capabilities, reflecting their essential role in strategic decision-making and team leadership [5][6] - Software Engineers score well in creativity and insight but are also suited for AI assistance in repetitive tasks, allowing them to focus on complex problem-solving [7][6] Group B: Role Fusion - The merging of roles is driven by two main factors: the evolution of product types and the accessibility of similar AI capabilities across different roles [8][9] - This fusion can lead to faster end-to-end decision-making in startups and smaller teams, while larger organizations may take longer to adapt [9] Group C: Collaboration in the AI Era - Effective collaboration in the AI era hinges on how teams leverage AI to connect diverse perspectives and transform collective intelligence into meaningful innovation [12][19] - Key principles for successful collaboration include shared mental models, clear decision-making authority, transparency, and accountability [15][16][17] - Maintaining creativity and diversity is crucial, as reliance on similar AI tools can lead to homogenization of ideas [19]