Core Viewpoint - The emergence of AI is fundamentally reshaping the entry points into various professions, leading to a structural challenge in the traditional career progression model, particularly for entry-level positions [4][10][11]. Group 1: Impact of AI on Employment - AI is capable of performing 90% of entry-level tasks at a significantly lower cost, making it less economically viable for companies to hire and train human newcomers [10]. - The traditional assumption that there will be enough "apprentice" positions to facilitate the transition from student to professional is rapidly diminishing in the context of AI development [12][13]. - The disappearance of entry-level roles raises concerns about how future generations will begin their careers, indicating a broader structural issue rather than just an employment problem [10][11]. Group 2: Rising Skill Requirements - As AI capabilities improve, the definition of entry-level positions is becoming more dynamic, with a significant increase in the required human core competencies [16][18]. - The demand for problem-solving skills is shifting from merely solving problems to defining what problems are worth solving, emphasizing the need for deep insight and creativity [22]. - The traditional skill structure is being challenged, with a need for cross-disciplinary integration rather than deep specialization in a single field [22]. Group 3: Educational Challenges - The education system must adapt to prepare students for high-level competencies that were previously developed through years of workplace experience [25][26]. - Traditional educational models, which rely heavily on teacher-led instruction, are becoming inadequate in fostering the necessary high-level skills [27][28]. - The scarcity of entry-level positions will lead to fewer internship opportunities, making it difficult to scale practical learning experiences [33]. Group 4: Proposed Solutions - A new educational model is suggested, which transcends the traditional human-based approach, focusing on creating a virtual environment for practical learning [40][41]. - This model would involve parallel virtual industry environments where students can engage in realistic challenges and learn through experience [44]. - The emphasis would be on task-driven learning, where knowledge acquisition is motivated by real-world problem-solving rather than traditional examinations [45]. Group 5: Future of Education - The role of educators may need to shift from knowledge transmitters to designers of learning environments that foster meaningful engagement [52]. - The proposed educational paradigm aims to incubate the comprehensive skills, resilience, and collaborative spirit needed to navigate future challenges [53][54].