A 19-year-old with a camera and a comment section can shape how students think about money, careers, and even identity faster than a world-class faculty. That idea sounds outrageous until you look at where Gen Z actually goes for guidance: TikTok, YouTube, Threads, Discord, Reddit, podcasts, and increasingly conversational AI that never sleeps. We follow the attention math behind that shift and unpack why “authority” now behaves less like a credential and more like daily trust plus distribution.

I talk through parasocial trust and why it routinely outperforms expertise in the marketplace, even when the expert is genuinely brilliant. Then we get into the unbundling of education: generative AI can create syllabi, summaries, and study plans in seconds, so information is no longer what learners pay for. If the content is free, what remains uniquely valuable about college and graduate school? I argue it’s the human layer: cohort friction, mentorship, feedback that changes how you see your field, and the kind of community that makes you slow down instead of sprinting to the credential.

We also zoom out to the trust collapse in higher education and the growing role of employers that offer upskilling as a job benefit, effectively sitting between institutions and learners. The closing challenge is simple: where does your institution show up in the places prospective students already live, learn, and decide who they trust? Subscribe for more, share this with a higher ed leader, and leave a review with your answer: where do you go first when you need to learn something that matters?

Higher ed growth shouldn’t feel like digging a brand-new well every time we want to expand, yet that’s exactly how many colleges and universities operate: launch another program, rebuild another process, stand up another mini-system, and hope the portfolio adds up. We challenge that model and ask a sharper question: Are we scaling what we do, or are we scaling what we make possible?

We pull lessons from Airbnb, Shopify, and OpenAI to explain platform strategy in plain language, then translate it into a university context without pretending a campus should become a marketplace. The turning point is the “highway vs trucks” idea: Real scale comes from shared infrastructure that lets work carry forward across offerings. Using research and reporting from McKinsey, Harvard Business Review, Fortune, and MIT Sloan, we show why duplicated work, restarts, and disconnected data are the silent killers of operational efficiency, staff capacity, and sustainable revenue.

Then we zoom out to the hub economy and the stakes for student pathways. If value now comes from connection, a large catalog of disconnected programs becomes a liability. We explore what it would look like for a college to act as connective tissue for learning across faculty, employers, alumni, communities, and peers and what happens if third-party platforms become the “front door” that organizes discovery, sequencing, and ongoing engagement. You’ll leave with three practical questions to take into your next leadership meeting: what gets reused, what connects, and what carries forward.

Subscribe for more higher education strategy, share this with someone leading change on your campus, and leave a review with the biggest “silo” you want to break next.