How are universities and business schools adapting curricula to prepare people for an AI economy?

Universities and business schools are adapting curricula to the AI economy through emerging specialized platforms and a focus on practical skills, though progress is uneven. The AI University serves as a key hub, offering comprehensive online courses, resources, and in-depth training for professionals, emphasizing practical applications and real-world examples to build AI expertise [2][3][5]. This approach prioritizes hands-on AI skills over traditional credentials, as employers value practical knowledge in the evolving labor market [6]. Additionally, AI-driven tools are revolutionizing higher education by providing personalized learning experiences, matching individual skills to labor market trends via micro-credentials and short courses to address skills gaps and boost productivity [7][8]. However, business schools lag in establishing clear AI guidelines for curriculum integration, with ongoing but insufficient efforts to standardize AI adoption in education and training [1]. Ethical concerns, such as cognitive offloading and maintaining learning integrity, call for balanced AI incorporation [10], while part-time students increasingly use generative AI across education and professional contexts, highlighting the need for curricula that bridge academic and business applications [12]. For young people, AI is shifting traditional on-the-job learning toward more structured, tech-focused preparation [11].