Core Insights - The impact of artificial intelligence (AI) on various industries is increasingly being recognized, with significant implications for business education and employment opportunities [1][2] - Business schools must adapt their teaching methods to prepare future leaders for a rapidly changing environment, emphasizing case-based learning to bridge the gap between theory and practice [1][4] Group 1: AI's Impact on Business Education - AI technology is penetrating various sectors, raising concerns about its effects on job markets, particularly in developed economies where approximately 60% of jobs may be affected [1] - The introduction of generative AI, such as ChatGPT, has led to a decline in entry-level job postings, posing challenges for business schools in preparing students for the future job market [2] - New entrants in the education sector are seen as threats to traditional business training markets, indicating a shift in how educational services are delivered [2][3] Group 2: Teaching Methodologies in Business Schools - Business schools are encouraged to return to the essence of education by utilizing case-based teaching to effectively prepare students for real-world challenges [4][5] - The case teaching method is valued for its ability to immerse students in decision-making environments, fostering critical thinking and entrepreneurial spirit [4] - Institutions like CEIBS are innovating by integrating "real-world teaching" methods, allowing students to engage directly with industry leaders and challenges [4][5] Group 3: Integration of AI in Education - There is a call for business schools to incorporate AI into their curricula, ensuring that students learn how to effectively use generative AI tools [5] - The importance of maintaining the relevance and dynamism of case studies in the face of rapid information changes is emphasized, with technology being leveraged to update content [5]

Core Viewpoint - The cultivation of future managers with complex decision-making abilities and a global perspective is a central challenge for business schools worldwide, with case teaching methods increasingly recognized as a key approach to bridge management theory and real business practice [1] Group 1: Case Teaching Method - Case teaching is seen as essential for connecting theory with practice, focusing on three main aspects: teaching demonstration, case development, and qualitative research [1] - The evolution of case teaching should embrace technology, enhance ESG and sustainability themes, and promote a global community for case research [1][2] - Case discussions provide diverse perspectives, improving students' analytical and communication skills to better navigate unpredictable business environments [2] Group 2: Challenges and Opportunities - Generative AI poses multiple threats to business education but highlights the irreplaceable nature of case teaching, which fosters structured social learning environments that enhance judgment, critical thinking, and complex decision-making skills [2] - The quality and vitality of case content are crucial, focusing on real decision dilemmas and ensuring engaging narratives while maintaining discussion space [3] - The dynamic updating of case content through technology is essential to meet the fast-evolving industry demands [3] Group 3: Practical Applications - Demonstrations of case teaching in both Chinese and English contexts illustrate its effectiveness in different environments, such as using the fresh e-commerce front warehouse model to guide financial analysis towards business strategy [4] - The practical value of case teaching in global business education is emphasized through simulations of complex international operational decisions [4]