脉脉林凡：AI将推动组织从“人人都是程序员”到“人人都是CEO”

Core Insights - The evolution of AI Native organizations will progress through three stages: "everyone is a programmer," "everyone is a manager," and "everyone is a CEO" [2] - The talent standard in the AI era will shift from selecting individuals with high upper limits of capability to those with high lower limits of capability [2] Group 1: Recruitment Trends - Since June 2025, the job market has shown signs of recovery, with new job postings in the new economy sector exceeding the same period last year [2] - The proportion of voluntarily resigning talent has increased by 5 percentage points compared to the same period in 2024 [2] - Companies are increasingly favoring experienced candidates over fresh graduates to ensure a higher lower limit of capability [2] Group 2: AI Integration in Work - In the first stage of AI integration, at least 20% of work can be reliably completed by AI, requiring employees to learn how to decompose tasks for AI execution [3] - In the second stage, 60% to 70% of work will be handled by AI, shifting collaboration from human-to-human to human-to-agent interactions [3] - By the third stage, over 95% of work will be completed by AI, leading to a platform-based service model where companies can purchase services as needed [3] Group 3: Organizational Efficiency and AI - Currently, 80% of companies are still at a superficial level of AI application [3] - To evaluate the effectiveness of AI integration, organizations can monitor token consumption in the short term and assess whether 20% of work in various roles is completed by AI in the long term [3] - Key capabilities for AI Native talent include rapid learning of new tools, the ability to discern the accuracy of AI outputs, and the skill to pose the right questions [3] Group 4: Recommendations for Companies - Companies should include an AI competency question in all job interviews, emphasizing the necessity of AI skills for roles like product managers [4] - Employees should delegate 20% of their tasks to AI to enhance productivity [4] - Organizing AI hackathons can help employees experience AI's problem-solving capabilities from scratch, fostering a better understanding of AI within teams [4]