Leading through change: (Pt. 3) Preparing students for an AI-shaped future
Episode 7 of the Teach.Learn.Share podcast, hosted by McGill’s Teaching and Academic Programs, titled "Leading through change: (Pt. 3) Preparing students for an AI-shaped future" was published on March 11, 2026 and runs 23 minutes.
March 11, 2026 ·23m · Teach.Learn.Share
Summary
In the finale of this three-part episode, the conversation steps back to ask a fundamental question: what is a university degree for in an AI-shaped world? The framework of “stuff, skills, and soul” is introduced to help answer this question and explore how universities can prepare students for an uncertain future of work. While content and technical skills remain essential, the discussion emphasizes the growing importance of human capacities such as judgment, resilience, adaptability, and working with ambiguity. Drawing on research and historical examples, the guests argue that AI is more likely to raise expectations around critical thinking than eliminate work outright, while complicating entry-level pathways and transitions from education to employment. The episode concludes with a call for universities to remain nimble, diverse, and committed to cultivating human purpose in an AI-mediated world. Did you miss the previous episodes? Listen to part 1 and part 2. Read the transcript.
Episode Description
In the finale of this three-part episode, the conversation steps back to ask a fundamental question: what is a university degree for in an AI-shaped world? The framework of “stuff, skills, and soul” is introduced to help answer this question and explore how universities can prepare students for an uncertain future of work. While content and technical skills remain essential, the discussion emphasizes the growing importance of human capacities such as judgment, resilience, adaptability, and working with ambiguity. Drawing on research and historical examples, the guests argue that AI is more likely to raise expectations around critical thinking than eliminate work outright, while complicating entry-level pathways and transitions from education to employment. The episode concludes with a call for universities to remain nimble, diverse, and committed to cultivating human purpose in an AI-mediated world.
Did you miss the previous episodes? Listen to part 1 and part 2.
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