Group 1: Future Skill Development Prospects - The article illustrates the potential of skill development through the integration of technology and artificial intelligence, particularly via the SkillNet platform, which enables rapid skill acquisition [3][4][9] - Quantum computing breakthroughs are expected to significantly accelerate scientific discoveries and machine learning, thereby increasing the demand for new skills [3][4] - Emphasis is placed on the importance of global collaboration and human-machine cooperation, showcasing real-world examples of their effectiveness [2][4] Group 2: Challenges in Skill Development - The article highlights the risk of skill inequality exacerbated by technological advancements, particularly affecting low-wage and repetitive jobs, leading to skill degradation among workers [2][20] - It discusses the phenomenon of de-skilling and job simplification, where industrial engineers redesign tasks to minimize technical interactions, resulting in a decline in worker skills [20][21] - The social and economic implications of skill inequality are profound, affecting careers, income, and quality of life, necessitating proactive measures to address these issues [2][19] Group 3: Solutions and Future Outlook - A digital apprenticeship model is proposed, leveraging digital technology and AI to create a new infrastructure for skill development, simulating traditional apprenticeship systems [2][22] - The application of hybrid systems, combining human and AI capabilities, is introduced as a means to enhance productivity and skill acquisition, particularly in complex tasks [2][23] - The call for establishing open and global learning platforms is made to facilitate knowledge sharing and collaboration, enabling more individuals to acquire skills [2][22]

Group 1 - The article discusses the future of skill development, emphasizing the integration of technology and artificial intelligence to enhance human skills [2][3] - It presents a vision for 2037 where a platform called SkillNet, driven by AR and AI, enables rapid skill acquisition [2][4] - The impact of quantum computing on accelerating scientific discovery and machine learning is highlighted, indicating a growing demand for skills [2][4] Group 2 - The challenges of skill development include skill inequality, where technological advancements may exacerbate disparities, particularly in low-wage and repetitive jobs [2][3] - The phenomenon of de-skilling and job simplification is discussed, where industrial engineers redesign work to reduce technical contact, leading to skill degradation among workers [2][3] - The social and economic implications of skill inequality are emphasized, calling for measures to prevent such outcomes [2][3] Group 3 - Proposed solutions include digital apprenticeship programs that leverage digital technology and AI to create new skill development infrastructures [2][3] - The potential of hybrid systems, combining human and AI capabilities, to enhance productivity and skills in complex tasks is introduced [2][3] - The need for open and global learning platforms to facilitate knowledge sharing and collaboration is advocated [2][3] Group 4 - The article illustrates a futuristic scenario where a skilled worker named Sara uses SkillNet to learn a new skill in ultrasonic welding, showcasing the platform's capabilities [4][5] - Sara's experience highlights the importance of real-time mentorship and feedback from experts, facilitated by the SkillNet platform [6][7] - The narrative emphasizes the collaborative learning environment created by SkillNet, benefiting both experts and novices [8][9] Group 5 - The article argues that the future of skill development will be hybrid, involving a network of human experts, novices, and AI focused on building capabilities in work settings [25][26] - It discusses the concept of "chimera," where human and AI collaboration enhances learning and productivity beyond what either could achieve alone [27][28] - The need for a digital apprenticeship system to preserve human capabilities in the age of intelligent machines is stressed [28][29]