只会写文档的产品经理没有未来，AI编程智能体正在终结“翻译官”时代

Core Insights - The role of Product Managers (PMs) is undergoing a significant transformation due to advancements in AI, shifting from a translation role to one focused on problem definition and product taste [1][3][15] - The traditional process of creating detailed requirement documents is being replaced by a more streamlined approach where clear problem statements are directly fed to AI agents, resulting in faster product iterations [5][11] Group 1: Changes in Product Management - The essence of a PM's job has shifted from translating customer needs into specifications to refining intentions so that AI can take action directly [4][11] - The time taken to move from "knowing what to do" to "having it done" has drastically reduced, with the entire cycle now potentially taking just hours instead of weeks [5][6] - The pace of product releases is accelerating, with companies launching products at a speed comparable to years of previous AI advancements [6] Group 2: New Skills for Product Managers - Problem shaping has become a core skill, requiring PMs to clearly articulate customer pain points for AI agents to act upon [7] - Context curation is essential, as the quality of AI outputs is directly proportional to the quality of the context provided by PMs [7][8] - Evaluating the quality of AI-generated outputs has become crucial, as PMs must discern between technically feasible solutions and those that genuinely address user needs [8][9] Group 3: Evolving Workflows - The traditional workflow of PMs is being replaced by a new model where they collaborate with AI to develop and iterate on products in real-time [11][12] - PMs are encouraged to embrace ambiguity and explore various solutions before locking in on a single approach, allowing for more innovative outcomes [12][14] - The focus is shifting from merely documenting requirements to deeply understanding problems, which enhances the value of PMs in the AI era [15][16]