把成本变成复利，你应该这样开会

Core Insights - The article highlights a significant "knowledge black hole" in Chinese enterprises, where a vast amount of valuable insights and decisions from meetings are lost, leading to asset depletion [2] - It emphasizes the importance of AI tools in capturing, reconstructing, and extracting value from meeting data, transforming it into a digital asset that can be reused and valued over time [5][7] Group 1: Efficiency in Information Capture - In a comparative experiment, traditional meeting recording methods struggle with accuracy and completeness, especially in multi-language environments, while AI tools ensure the integrity of captured information [3] - The efficiency of AI tools in capturing meeting content lays the foundation for subsequent value development [3] Group 2: Logical Reconstruction Capabilities - During brainstorming sessions, traditional recording often leads to fragmented ideas, whereas AI tools can summarize and visually present key points, facilitating clearer pathways from divergent thoughts [4] - AI's role extends beyond mere recording to logical reconstruction, enhancing the clarity and utility of meeting outcomes [4] Group 3: Value Extraction and Insights - In data-heavy review meetings, traditional methods fail to capture data relationships, while AI tools can automatically extract key data, generate comparative charts, and link action items to responsible parties [5] - The ability of AI to penetrate data for insights represents a significant evolution in knowledge asset management [5] Group 4: Knowledge Asset Integration - The article discusses how companies like Xiaopeng Motors have significantly increased their meeting documentation, with 160,000 meeting minutes generated in 2024, rising to over 630,000 by mid-2025 [5] - The integration of these meeting records through AI solutions like Feishu aims to facilitate secure and efficient knowledge flow within organizations, addressing the "last mile" of knowledge assetization [7] Group 5: Transforming Meeting Costs into Assets - The article argues that effective meetings should focus on decision-making, idea generation, and consensus building, yet many organizations still face challenges of disorganization and forgetfulness [7] - AI tools are transforming the "silent costs" of meetings into fertile ground for innovation and growth, allowing discussions to become reusable and value-generating digital assets [7][8]