AI in Higher Education —
Research, Frameworks, and Real Practice
These posts are grounded in years of original longitudinal research and decades of executive leadership experience. The goal is the same in every piece: sharper thinking about what AI actually requires from institutions, faculty, and leaders.
Claude Mythos and the New Verification Burden for AI Leaders
Anthropic is signaling something the AI market does not really want to admit. At a certain level of capability, “look what it can do” stops
The Verification Imperative
Why the defining challenge of AI in 2026 is not what you generate, but what you can prove. Original longitudinal research across 464 students and three sectors — education, marketing, and business.
When AI Can Build the Course in 15 Minutes, What’s Left for Faculty?
Recently, UGA Online shared a powerful & innovative example of “AI in the middle” of teaching. The shared how an AI Course Starter they built
The Best AI in Higher Education Resources, Ranked
I asked AI to rank the best AI in higher education resources, and told it to be brutally honest. It lead to this… The flood
Your AI Syllabus Policy is a Teaching Manifesto. Write it Like One.
It’s late July or early January. The academic calendar, a document of serene certainty in a chaotic world, tells you the semester is approaching. And
The AI Intern is Here. Your Entire Curriculum is Now Obsolete.
Let’s run a quick experiment. Imagine giving the following prompt to a student as a final capstone project for a business degree—a project that would