Leverage the GMAC AI Hub to better understand the growing role of artificial intelligence in GME
A Framework for Artificial Intelligence in Business Education
Led by Inspire Higher Ed, in partnership with AACSB, the Graduate Business Curriculum Roundtable, and GMAC, this research examines AI initiatives across 48 participating institutions, documenting how schools are integrating AI across teaching, learning, research, and operations.
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AI in Business Education: Current Practices and Future Potential
This paper leverages data collected from GMAC's AI in Business Education Spotlight Series, GMAC's annual survey series, and external sources to offer a more complete view of how business schools are approaching AI today, what challenges and best practices they have encountered, and what the future may hold for institutions looking to level up their AI integration.
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AI in Business Education Spotlight Series
GMAC’s AI in Business Education case study series spotlights the integration of artificial intelligence in graduate management education, focusing on curriculum development, administrative processes, and strategic applications.
- Nanyang Business School - Learn how Nanyang Business School supported a pilot project to redesign curricula and learning assessments to embrace generative AI tools through a case study project assessing the output of different GenAI prompts co-designed with faculty. Read the Nanyang case study.
- Gies College of Business - Learn how Gies College of Business at the University of Illinois Urbana-Champaign established a support framework that fostered experimentation with a variety of existing and custom designed GenAI tools among different schools and faculty—including two “teaching assistants” developed concurrently. Read the Gies case study.
- MIT Sloan School of Management — See how MIT Sloan brought together a pilot group of faculty members and provided training, a collaborative discussion environment, and technical and financial support in order to experiment simultaneously with a wide range of generative AI use cases. Read the MIT Sloan case study.
- ESMT Berlin — Learn how ESMT Berlin has developed a unique Learning Management System (LMS) plug-in based on a custom generative pre-trained transformer (GPT) that provides separate interfaces for student support and training on academic integrity and faculty support for course development. Read the ESMT case study.
- IE University — Understand how IE built a unique “Artificial Intelligence Tutor,” developed using a combination of different large language models (LLMs), to provide learners with an interactive and proactive tutoring experience that identifies the individual learning needs of each student. Read the IE case study.
- IMD — Learn how IMD developed a unique “Expert-AI” large language model that allows participants to access and interact with a program-specific AI assistant trained not just on the full course content but also transcripts of classroom discussion, articles authored by faculty instructors, and thousands of entries in the IMD research article database. Read the IMD case study.
AI Glossary: Essential Terms and Concepts for Getting Started
Sure, there’s a lot of talk about AI—but what are we really talking about? With clear definitions and explanations, this incomplete set of terms offers a solid understanding of AI basics, how it works, and the critical considerations involved in its application and interpretation. (And yes, AI helped develop it). Check out the glossary.
Blogs on AI
More GMAC Research
- GMAC Prospective Students Survey 2025 Report – In addition to updates on core themes about trends in the candidate pipeline, program preferences, mobility considerations, and career goals, the 2025 report detailed the latest information on candidate interest in studying artificial intelligence, finding candidate demand for AI grew to 46 percent—up from 40 percent in 2023 and 29 percent in 2022.
- Application Trends Survey 2025 Report - The 2025 report covers changes in the volume of applications, including MBA and business master’s programs, along with examinations of today’s applicant pool and new business school offerings related to artificial intelligence (AI), sustainability, and non-degree credentials.
- Corporate Recruiters Survey 2025 Report – The 2025 report examines the latest data about skill demand, hiring, compensation, and perceptions of MBA and business master’s graduates. In addition, it explores which skills employers think will characterize the future workplace—including the role of artificial intelligence—and how employers value business school amid challenging macroeconomic conditions across industries and around the globe.
From the Candidate Perspective
More From the Industry
- GenAI Adoption in Business Schools: Deans and Faculty Respond (AACSB) – In the fall of 2024, AACSB surveyed deans and faculty to explore GenAI’s role in shaping teaching and research and its strategic integration within business schools.
- Building Future-Ready Business Schools With Generative AI (AACSB) – AACSB International presents pivotal focus areas for business schools to explore, emphasizing ways they can enhance learning experiences, highlighting essential strategies for business school leaders to realize their ambitious organizational goals, and envisioning potential futures for business education.