"The genAI revolution is not just an upgrade to your existing tech; it's a fundamental paradigm shift. Unlike a search engine that finds existing information, genAI creates new content-text, images, code, you name it. For students, it's a brainstorming partner. For faculty, it's a teaching assistant. For administrators, it's a tool to automate countless tasks. But the scattered, unguided use of free AI tools creates a chaotic environment filled with risks around academic integrity, data privacy, and equity."
"But the scattered, unguided use of free AI tools creates a chaotic environment filled with risks around academic integrity, data privacy, and equity. Trying to ban or detect our way out of this is a losing battle. The only way forward is a proactive, enterprise-level strategy. To build one, we need to think like a startup, and that means using two"
"The core idea is simple: let's borrow from the startup world and focus relentlessly on what our students are trying to achieve-what we call their "Jobs to Be Done." For most, that boils down to two things: landing a great career or launching an innovative venture. This playbook offers a clear roadmap to use generative AI as an enterprise-wide tool to deliver on that promise."
Generative AI demands a proactive, institution-wide strategy that centers student outcomes—primarily career placement and venture creation—while integrating technology across teaching, learning, and administration. Treat AI as a creative partner for students, a teaching assistant for faculty, and an automation tool for administrators. Address risks from unguided tool use—academic integrity breaches, data-privacy exposure, and equity gaps—through enterprise governance rather than bans or detection-only responses. Adopt startup thinking focused on students' Jobs to Be Done, implement an organization-level playbook, and use AI to amplify human mentorship, free staff from repetitive tasks, and align curriculum with a skills-based economy.
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