"I'm starting with education, not because it was the most disrupted, but because it was the first to show us what disruption actually looks like in real time. Why start here? Education is upstream to everything. Every future engineer, policymaker, manager and founder is shaped by what happens in a classroom, a lecture hall or a late-night interaction with a search engine. When generative AI arrived, education didn't have the luxury to wait. It was forced to adapt on the fly."
"Long before AI, colleges were already straining under somewhat outdated models - rigid lectures, static syllabi, compliance-heavy assessments and a widening chasm between classroom instruction and workforce reality. Students were evolving faster than the systems designed to serve them. Generative AI made that gap impossible to ignore. Within months of its release, a majority of students admitted to using ChatGPT or similar tools for coursework. Meanwhile, most college presidents acknowledged they had no formal AI policy in place."
Generative AI rapidly disrupted higher education, forcing immediate adaptation of teaching, assessment and institutional policies. ChatGPT and similar tools enabled students to access polished answers quickly, undermining memorization-focused assignments and collapsing traditional grading frameworks. Colleges entered the AI era with rigid lectures, static syllabi and compliance-heavy assessments that increasingly diverged from workforce needs. Most students adopted AI tools while many college leaders lacked formal AI policies, producing reactive and inconsistent institutional responses. The disruption exposed deep fractures in learning definitions and delivery and created an urgent leadership imperative to redesign curricula, assessment methods and governance for workforce-aligned, future-ready education.
Read at Entrepreneur
Unable to calculate read time
Collection
[
|
...
]