Evolve 2026/ Session notes

Education in the Age of AI

EVOLVE 2026 · MIAMI · MAIN STAGE · SESSION 04

Leaders panel: Jon Schnur (moderator), Richard Buery, Leslie Gill, Don Gips · 7 min read

Watch Full Session

THE 60-SECOND READ

Education is economic infrastructure, and it is out of sync with the economy it feeds. Curricula update every 4 to 8 years. Skills change every 12 to 24 months. The session’s verdict, across a university launch and a blunt leaders panel: America does not have a talent strategy at scale, and talent, not technology, is the constraint.

Key Highlights

By the numbers (data points sidebar)

US student debt
$ 0 T
underemployed a year after graduating
0 %
12-24 mo
skills cycle vs 4-8 yr curricula
Frontier flat tuition
$ 0 /mo

In their words

“Progress happens at the speed and pace of trust.”
Leslie Gill, President & CEO, Rung for Women

Notes

The Frontier presentation walked through the design. Students pick the social or economic problem they want to solve, and the curriculum builds around that mission. Every graduate ships a real-world project, venture, or product. Learning is community-driven, with peer networks and accountability systems, and digital-first without being digital-only: city hubs and immersive global experiences are part of the model, because students with international exposure learn more and earn more. Pathways run from short courses for working professionals to accelerated three-year bachelor’s degrees and master’s programs.

The leaders panel was blunt. Asked whether the US has a talent strategy at scale, all three said no. Institutions are disconnected from each other. Employers can’t say what skills they need because AI keeps changing the answer. And the existing workforce, not just young people, needs retraining that nobody is providing.

The closing charge to employers was practical. Rewrite job descriptions around the skills actually needed. Invest in work-based learning. Stop screening people out with credential requirements that no longer predict performance. The larger question stayed open: whether new institutions like Frontier can scale before the disruption arrives in full.

From the room (session gallery)

Get started

Physical AI for Critical Infrastructure.