Core Insights - The commentary on the future of human jobs in the AI era is increasingly pessimistic, with predictions of the extinction of various white-collar professions such as programmers, lawyers, and accountants [2] - Despite the fears surrounding AI, it is essential to explore how AI can bridge the "responsibility gap," as human oversight remains crucial in the workplace [2][3] - By 2030, 70% of skill requirements for average jobs are expected to change, with AI and emerging technologies projected to eliminate 9 million jobs while creating approximately 11 million new ones [2] Group 1: Trust Building - A new profession termed "AI Auditor" is anticipated, focusing on understanding AI systems for accountability and technical explanations [4] - The role of "AI Translator" is emerging, bridging the gap between AI technology and management understanding [4] - New positions such as "Trust Certification Officer" and "Trust Director" may arise, necessitating collaboration with AI ethics experts to ensure accountability in AI-driven decisions [5] Group 2: System Integration - The demand for "AI Integrators" is increasing, as businesses require individuals who can implement AI solutions effectively [8] - New roles like "AI Repair Technician" will be needed to troubleshoot complex AI systems [8] - The rise of specialized positions such as "AI Evaluator" will be crucial for assessing the performance of AI models in various applications [8][10] Group 3: Aesthetic Decision-Making - As AI tools become widely accessible, the importance of aesthetic judgment will rise, leading to roles focused on guiding AI in creative processes [11][12] - The term "Designer" may evolve to encompass those who primarily direct AI in creating products and services based on aesthetic choices [13] - New titles such as "Article Designer" and "World Designer" may emerge, emphasizing creativity over technical execution [14] Group 4: Future Workforce Dynamics - AI is expected to empower younger employees, allowing them to engage in creative development without starting from basic tasks [15] - The shift towards an "innovation economy" will prioritize creative decision-making as a core competitive advantage for businesses [15][16] - The future may see individuals acting as CEOs of their AI teams, necessitating deeper reflections on goals and objectives [16]