NUS Business School Pioneers AI Simulations to Cultivate Critical Thinking in Future Leaders

NUS Business School has introduced an innovative AI-enabled approach to business education, piloting a program since January 2026 that uses AI simulations to train MBA and Executive MBA students. This initiative moves beyond conventional case-based learning by presenting students with AI-simulated problems where they must actively determine necessary information, identify relevant stakeholders, evaluate responses, and make recommendations under uncertainty. The core of this program is ScholAIstic, a generative AI platform developed by the NUS AI Centre for Educational Technologies (AICET), designed to facilitate role-playing and simulation-based learning. This development is significant for practitioners because it underscores a crucial evolution in how AI is being integrated into high-level education. Instead of merely using AI to find answers, the focus here is on sharpening human judgment and the ability to ask the right questions. In a world where AI can rapidly generate information, the true value lies in discerning what information is needed, critically assessing its validity, and making informed decisions. This program directly addresses the need for future leaders to develop these nuanced skills, which are essential for navigating complex, AI-augmented business landscapes. This initiative fits within a broader trend of educational institutions adapting to the pervasive influence of AI. As AI tools become more sophisticated, there's a growing recognition that education must evolve to prepare students not just for using AI, but for collaborating with it and understanding its implications. This is evident in other recent developments, such as new AI literacy seminars for faculty to redesign courses with AI in mind, and the increasing focus on AI's impact on student study choices and future careers. The shift towards agentic workflows, where AI completes multi-step tasks across systems, also highlights the need for individuals to understand how to orchestrate and leverage these advanced capabilities. In practice, this means that professionals in leadership roles, or those aspiring to them, should actively seek out educational opportunities that emphasize critical thinking, strategic questioning, and ethical decision-making in AI-rich environments. The NUS program's early findings suggest that effective AI use is not about asking more questions, but about asking the *right* ones. This implies a need for practitioners to cultivate a deeper understanding of problem framing and information synthesis, rather than just relying on AI for quick answers. Organizations should consider investing in training programs that simulate real-world AI integration challenges, allowing their teams to develop the soft skills necessary to lead effectively alongside intelligent systems.