Examine implications of artificial intelligence (AI) adoption within organizations and management education. Considering technological parallels, we propose a structured, ethical integration to enhance users’ critical thinking, employability, and adaptive professional skills while mitigating risks like cognitive offloading.
This viewpoint paper synthesizes literature on technological adoption patterns, cognitive offloading effects, and emerging AI impacts on decision-making. Drawing on historical examples, it proposes practical applications for embedding AI in management coursework, anchored in critical-thinking frameworks.
Accelerating AI adoption brings enhanced rationality closer to realization yet risks over-reliance on decision-support and diminished independent reasoning. Higher education should prioritize foundational critical thinking before extensive AI use. Proposed practices include sequencing AI as an instrumental tool, constrained collaboration, and collegial evaluation. Structured AI usage fosters ethical practices, prompt literacy, transparency, and preparation for AI-integrated workplaces.
Future research could quantitatively validate the proposed effects on cognitive offloading and critical thinking among students using AI for decision-support.
Management educators should integrate guided AI applications in assignments. Doing so sets ethical boundaries, reinforces student authorship, and builds competencies (e.g., advanced information processing, emotional regulation, and boundary-setting) for AI usage in organizations.
The paper offers a critical-thinking-anchored framework for embedding AI in management education. It links historical adoption patterns to current AI dynamics and extending discussions on enhanced rationality to pedagogical practice. Further, it provides actionable guidance to balance AI benefits with risks in ways that support long-term career development.
