OpenAI Interest Groups

AI in Higher Education

Caltech & Goldhirsh Foundation

Caltech CTME AI Educator & AI Executive in Residence @ Caltech & Goldhirsh Foundation

Wharton

Executive MBA Student @ Wharton

Stanford University

Director of Clinical Pathology Informatics @ Stanford University

OpenAI

Human Data / Forum Community Ambassador @ OpenAI

Kennesaw State University

Lead Academic Data Scientist @ Kennesaw State University

CUNY

Lecturer @ CUNY

Harvard Business School

Student @ Harvard Business School

Professor @ Harvard Business School

Education GTM @ OpenAI

NYU Stern School of Business

Chief AI Architect @ NYU Stern School of Business

As AI capabilities accelerate, higher education must evolve beyond static, lecture-based models toward dynamic, strategic capability-building.

Attached is a stacked area chart from my current exploration of 

 It visualizes how learning progresses across three reinforcing dimensions:

What stands out is the sustainability of layered growth—each stage reinforces the next, compounding toward mastery.

How might this layered approach be mirrored or integrated into university-level AI curriculum?

• Should we move from linear courseware to “capability layers”?

• Who’s experimenting with this in your institution or ecosystem?

Looking forward to perspectives from educators, instructional designers, and AI learners. Let’s set a signal-rich baseline for what strategic AI fluency in higher ed can become.

How Can Layered AI Fluency Reshape Higher Education?

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