What happens when AI ambition outpaces academic culture?

In this special two-part episode of Teach & Learn, host Dr. Cristi Ford sits down with Laura Zarrow, executive director of the Wharton Generative AI Labs (GAIL) at the University of Pennsylvania, to explore the growing divide in higher education.

Across campuses, leaders are setting bold AI-first visions. But inside classrooms, faculty are navigating something far more complex—a shift that challenges long-standing pedagogical practices, assessment models and even professional identity.

But as Zarrow explains, “Subject matter expertise has never been more important.”

Rather than replacing educators, generative AI raises the bar. It demands deeper judgment, sharper discernment and a renewed commitment to meaningful learning. The question isn’t whether AI belongs in higher education; it’s how institutions align leadership ambition with faculty culture, capacity building and daily classroom practice.

In this conversation, Dr. Ford and Zarrow unpack:

why AI strategy often moves faster than institutional scaffolding
how generative AI is reshaping expertise, authority and academic identity
what must evolve in assessment to support deep learning, not just compliance
how AI can serve as a collaborator, coach and creative partner in the classroom
lessons higher education can draw from past technological shifts

This episode offers a clear-eyed but optimistic perspective: Transformation requires more than tools. It requires trust, alignment and the courage to rethink long-standing systems.

Resources Discussed in the Episode:

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