Scaling AI in Higher Ed: Lessons From 100 Institutions on How to Build an AI Network

Scaling AI across siloed organizations and entire sectors remains an open challenge, but one that we are tackling together. One year ago, 100 colleges and universities launched an AI Learning Network with a bold vision: to foster Knowledge Sharing and Learning, build Capacity, and drive Collaborative Projects and Research.

Now, as we wrap up our first year, the results speak for themselves—over 10,000 total registrations, 30+ hours of content delivered, and a proven methodology for scaling AI use, understanding, and adoption. Join us as we break down:

• How we introduced AI services and providers to thousands of engaged participants

• The monthly formula and cadence that enabled us to deliver live, high-impact content every week

• The dramatic shift in AI adoption among faculty and staff—how many were using it daily 8 months ago vs. today?

• The most common concerns and insights from a diverse pool of practitioners, backed by both qualitative and quantitative data.

This is more than just a recap—it’s a playbook for the future of AI in higher education.