Community
The convening launches your journey. Transformational Leadership Circles and the Fellows Program sustain it.
The convening is where transformation begins. Transformational Leadership Circles are where it continues.
When you join AI Convergence, you're not just attending an event—you're joining a peer community that supports your work long after you return to campus. Circles are small groups of academic leaders facing similar challenges, matched by institutional type, role, or strategic priority.
Each Circle includes 6-10 leaders who commit to meeting monthly via video conference (60-90 minutes). These gatherings are confidential spaces for honest conversation—not curated success stories, but real talk about what's working, what's failing, and what keeps you up at night.
Circles are organized with geography and time zones in mind, ensuring that meeting times work for all members regardless of location.
Between monthly meetings, circle members are encouraged to reach out directly. When you're stuck on an AI governance question at 9 PM, you have colleagues who understand your context and will take the call.
Transformational Leadership Circles can invite AI Convergence technology partners to join specific meetings. This isn't a sales opportunity—it's a chance for honest dialogue. Circles might invite a partner to demo a tool they're considering, answer technical questions about implementation, or discuss where the technology is headed.
Your circle isn't static. As your institution's priorities shift, you may move between circles or participate in multiple groups. Leaders who return to future convenings with different implementation partners often find themselves in new circles focused on new challenges—building institutional capacity across multiple areas over time.
Your first year of Circle membership is included with convening registration. To continue participating in subsequent years, leaders either attend another convening or pay an annual renewal fee of $500.
A Leadership Development Program for Emerging AI Champions
We're launching the AI Convergence Fellows Program, an initiative designed to develop the next generation of higher education leaders capable of driving AI transformation at their institutions.
The program will provide mentorship, community, and structured development for a cohort of 15-20 Fellows over twelve months. Fellows will be matched with experienced mentors from the AI Convergence Advisory Board and broader community to investigate AI implementation challenges, develop institutional strategies, and contribute thought leadership to the field.
Effectively addressing the AI challenges facing higher education requires developing leadership capacity beyond the C-suite. Many talented administrators, faculty leaders, and emerging executives are eager to drive AI transformation but lack the mentorship, frameworks, and peer community to do so effectively.
Fellows commit to approximately 5-8 hours per month of engagement over twelve months, including:
The program is designed for emerging leaders—associate deans, directors, department chairs, senior faculty, and rising administrators—who are positioned to influence AI strategy but haven't yet had the opportunity to lead institution-wide transformation.
You may be a good fit if you:
We particularly encourage applications from leaders at under-resourced institutions and from backgrounds underrepresented in higher education leadership.
Applications for the inaugural Fellows cohort will open following the first convening in 2026. Sign up for updates at our registration page to be notified when the application launches. Questions? Contact us at info@aiconvergence.ai.
AI Convergence exists to strengthen member institutions, but our impact extends beyond our community. We believe the challenges facing higher education are too urgent and too universal for solutions to remain siloed.
Following each convening, we develop and publish shared resources drawn from our collective work:
These resources are made publicly available through our digital resource hub, ensuring that institutions beyond our community can benefit from our learning.
Every institutional experiment contributes to our collective understanding. When you share what's working—and what isn't—you help the community identify scalable models that can transform institutions beyond your own.
Your 90-day action plan isn't just for you; it's a data point in a larger effort to understand what AI transformation actually requires. The more honestly we share, the faster we all learn.