飞书谢欣呼吁以M1-M4来标记AI功能成熟度，方便用户选择产品

Core Insights - The core message emphasizes that in the AI era, "function does not equal effect," highlighting the gap between advertised capabilities and actual performance of AI products [1][18] - The speaker advocates for a maturity model (M1-M4) to help users assess AI product effectiveness, rather than just functionality [1][18] Group 1: AI Product Selection - In the AI era, the criteria for selecting software should shift from functionality to effectiveness, as most AI products have similar functionalities but differ significantly in their performance outcomes [5][22] - The maturity model proposed categorizes AI functionalities into M1 (immature) to M4 (mature), with M3 indicating that a product is usable in most scenarios [23][25] - Companies should label AI functionalities with maturity indicators to assist consumers in making informed choices [25] Group 2: Barriers and Drivers for AI Adoption - The main resistance to AI implementation often comes from risk management and finance departments, which prioritize risk avoidance over innovation [10][28] - Employees who are willing to embrace AI are not limited to technical roles; individuals from various departments, including non-technical ones, can drive AI initiatives [26][32] - A shift in mindset from ROI (Return on Investment) to COI (Cost of Inaction) is necessary for finance departments to understand the long-term implications of not investing in AI [11][29] Group 3: Strategies for Embracing AI - To foster a culture of AI adoption, companies should encourage participation from all employees, not just management, creating initiatives like "AI efficiency champions" to promote engagement [14][34] - The company has successfully organized over 500 competitions, identifying more than 50,000 efficiency champions and developing over 160,000 systems across various enterprises [32][34] - The emphasis is on aligning the entire organization towards AI adoption, ensuring that all levels of staff are actively involved in the process [16][34]