1. Is AI taking away my first job?
Yes—AI is replacing work that gave people their first professional experience.
Preparing you for that job market is our responsibility. If careers start on the second rung, we need to get you ready for the second rung. We cannot build your education around the hope that the old starting point will still be there when you graduate.
2. Then how am I supposed to get the experience employers want?
We need to move that experience into college.
You should graduate having practiced your profession, worked with other specialists, owned decisions, met deadlines, and delivered work that matters to someone. Faculty and mentors help you learn through those responsibilities. Your education should give you experience you can show an employer, along with people who can speak to how you work.
3. Why go to university when I can learn with AI on my own?
You can. Self-directed learning is a legitimate path, and AI makes it more powerful.
A university has to earn its value through what it brings together: professors, peers, mentors, laboratories, professional relationships, and consequential work. A certificate saying you learned a body of knowledge carries less weight when machines can produce much of the same output. Our value must come from helping you develop the judgment, experience, and human relationships to put knowledge to work.
4. What if I don’t know what degree I want to pursue?
You don’t need to choose a degree. You do need something you care enough about to pursue.
Your first year helps you explore that purpose across disciplines before choosing a professional specialty. If you don’t yet have an interest or concern worth that commitment, give yourself time to work and explore before paying for university. You should come because there is something you want to understand or accomplish.
5. Why should I learn things I’m never going to use?
You should not, and you will not be required to.
Our commitment is that you should never have to ask, “Why am I learning this?” Your purpose creates the reason: something you want to understand, build, or change leads you to knowledge you need. Faculty help you see connections and foundations you haven’t yet recognized. Each thing you learn opens up something you can do.
6. Will I be allowed to use AI?
You’re expected to use it.
We set expectations for the world you’ll work in—a world where AI is available. You’ll be expected to investigate more deeply, consider more alternatives, and deliver more substantial work with that capability.
You can choose to do more unaided, but keeping up will be harder. Setting standards as though AI doesn’t exist would prepare you for a world that no longer does.
7. Will I still learn if I’m using AI?
Not automatically. AI can produce an answer without you understanding it. That’s why a finished assignment is no longer enough.
Our AI learning environment is designed to develop your understanding and challenge your reasoning. You apply what you learn, then teach it back to your class and respond to questions. Your AI stays available. Your understanding becomes apparent in how you explain and use the work. Assessment happens throughout that process, with opportunities to practice and improve.
8. What happens if I struggle—or I’m ready to go deeper?
You have a patient tutor available whenever you need another explanation, more practice, or a harder challenge. Human instructors have more time to help because AI carries much of the repeated explanation.
Your knowledge-depth map reflects where you have deep expertise and where your understanding is more limited. Different depths are part of being a person. Where your work requires greater understanding, we help you develop it. Life has no rubric.
9. So am I just going to sit in front of a computer?
Absolutely not. Isolation is an obvious risk of AI learning, and we deliberately design against it.
Individual study prepares you for discussion, laboratories, creative work, teaching, and collaboration. You spend time with people who challenge your ideas and depend on your contribution. The human responsibilities—judgment, communication, trust, and working together—are central to what you’re here to develop. Screen time supports that education.
10. What if I don’t know anyone?
You start inside a community. A continuing pod and mentor give you people to learn with from the beginning. Shared classes, departmental exploration, projects, and campus life broaden those relationships.
Networking is part of the education: approaching expertise, asking for help, contributing, and following through. You build professional connections by doing things together. Friendships have room to grow through those same everyday encounters.
11. How would an employer know if I’m any good?
They can see what you’ve done—and ask you to do something new.
Your record shows what you built, which decisions were yours, how you handled problems, and who worked beside you. You bring your agents into the conversation, too. The employer can watch how you direct them, question their answers, and use the results.
We make your capability visible. The employer decides whether it fits the work they need done.
12. What do I actually leave college with?
Professional depth, experience, work you can show, relationships—and your education captured as personal AI context.
Throughout college, your agents learn how you think: how you approach problems, connect ideas, apply knowledge, and revise your understanding. They preserve what you tried, what you discovered, and why it mattered.
That context is yours. You keep the agent force you developed and the accumulated understanding that makes it useful to you. You can bring years of learning and experience into your next problem without starting from scratch.