AI in Graduate Management Education
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AI in Graduate Management Education

Leverage the GMAC AI Hub to better understand the growing role of artificial intelligence in GME

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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. 

  • 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

  • Application Trends Survey 2024 Report - The 2024 report introduces new survey questions about AI in the classroom and application processes as well as business school’s non-degree offerings, while also exploring volume trends by program type and delivery methods; diversity enrollment with a focus on women and U.S. underrepresented candidates; and the evolution of financial assistance from GME programs to incoming students.
  • Corporate Recruiters Survey 2024 Report – The latest Corporate Recruiters Survey report from GMAC highlights new findings about AI and how it fits into recruiters ideal toolbox of strategy, technological, and human skills. The results indicate that most employers are not too concerned about AI for today’s GME grads, but its importance is expected to grow—and soon.
  • Employer Demand for AI Infographic – Based on results from GMAC's Corporate Recruiters Survey, this infographic highlights how employers perceive the value of artificial intelligence to graduates of MBA and business master’s programs now and in the next five years—including how they want graduates to be able to use AI tools.
  • GMAC Prospective Students Survey 2024 Report – In addition to updates on core themes about trends in the candidate pipeline, program preferences, mobility considerations, and career goals, the 2024 report detailed the latest information on candidate interest in studying artificial intelligence, finding candidate demand for AI grew 38% year-over-year, with two-fifths now saying it is essential to their business school curricula.

From the Candidate Perspective

More From the Industry

  • 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.