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October 9, 2025Journal of Global Information Management5 citationsOpen Access

Uncovering the Generative AI (GenAI) to Agentic AI (AgAI) Shift for Business School Education

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MKMarios Dominikos KremantzisAEAniekan EssienEPEleonora Pantano

Key Points

  • Agentic AI enhances learner agency, promoting autonomy and critical skills in business education.
  • Generative AI's limitations in fostering critical reflection diminish learner adaptability and decision-making.
  • The proposed model incorporates intelligent tutoring systems to improve collaboration between students and AI.
  • Incorporating agentic AI aims to bridge gaps in experiential learning and ethical reasoning within education.

Abstract

This article conceptually examines the transformative potential of Agentic AI (AgAI) in redefining business education by addressing the limitations of Generative AI (GenAI) in fostering learner agency and higher-order skills. While GenAI excels at reactive tasks, its static, prompt-driven design struggles to cultivate autonomy, critical reflection, and adaptive decision-making, while challenging individual's linguistic abilities. In contrast, AgAI (characterised by autonomy, contextual adaptability, and proactive engagement) positions AI as a collaborative partner. Grounded in proxy agency, self-determination theory, and constructivist learning theory, AgAI empowers students to iteratively pursue goals, navigate dynamic scenarios, and reflect on learning strategies while retaining control over their educational paths. The article proposes an enhanced human-AI collaboration model where AgAI augments learning through intelligent tutoring systems, multi-agent simulations, and personalized content curation, bridging gaps in experiential learning, scalability, and ethical reasoning.

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Cite This Study

Kremantzis et al. (2025) studied this question.

synapsesocial.com/papers/68e82b12e7fc21a300500491https://doi.org/10.4018/jgim.389920
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