Building the AI-Ready Graduate School: New Insights from CGS Member Institutions

Generative AI has arrived in graduate education, and universities are eager to respond. Many graduate schools have already developed policies to govern student use of AI, which is an important first step. Beyond policy creation, it is important to examine key ways in which generative AI has the potential to improve graduate education: making programs more efficient, responsive to student needs, and aligned with what employers want.

This brief examines three promising areas where AI is already sparking change:

• Customized learning pathways
• Admissions quality and efficiency
• Interdisciplinary collaboration

The brief also includes key questions for graduate leaders to consider when advancing AI initiatives, along with a curated set of resources from global leaders in AI implementation in graduate education. An interactive AI toolkit, launching later this year for CGS members, will support graduate leaders in turning guidance into action.