Crosscut · 22 min
Ai for Life Decisions
If a finance professor warns that algorithms are fine for basic math but dangerous for irreversible choices, what happens when millions of teenagers use cheap chatbots to pick their college majors?
Anxious Chinese Students Are Trusting AI to Help Pick Colleges and Majors × Got Money Questions? How to Get Chatbots to Give You Accurate Answers
Published 2026-07-30
0:00 / 21:54 · Narrator Sulafat/Charon/Vindemiatrix
In this episode
Rest of World
Anxious Chinese Students Are Trusting AI to Help Pick Colleges and Majors
by Viola Zhou
The Conversation
Got Money Questions? How to Get Chatbots to Give You Accurate Answers
by Pawan Jain, Associate Professor of Finance, University of Michigan Flint
The connection
Right now, teenagers across China are typing prompts into chatbots, asking algorithms to pick their college majors. Human tutors simply cost too much, so students are handing their futures over to software. Viola Zhou captures this shift in a piece for Rest of World. Putting her reporting next to an essay by Pawan Jain creates a sharp tension. Jain proposes a strict rule for personal finance: bots are fine for basic math, but dangerous for irreversible choices. Reading these two pieces together forces a pause. There is a massive difference between calculating compound interest and deciding the entire course of a career, yet people are increasingly crossing that line, letting software dictate their most permanent decisions.
Watch an eighteen-year-old type her test scores into a chat window, and the stakes are hard to ignore. Viola Zhou leaves you looking at students handing the trajectory of their careers over to an algorithm, simply because a human coach costs too much. Turn the page to Pawan Jain, and that exact trade-off gets a sharp set of boundaries. Jain looks at people who can only afford free advice and draws a strict line. He points out that algorithms are perfectly safe for basic math—like figuring out credit card interest or sizing up an emergency fund. But he warns against trusting them with irreversible choices. Read alongside Zhou, Jain’s financial rule suddenly looks like a warning label for those teenagers. The students in China are doing exactly what Jain advises against: making a permanent, one-shot life decision based on a bot's output. The interesting thing is how both writers trace this back to the exact same problem. Whether someone is picking a college major or planning a retirement, human expertise is expensive. When people are priced out of a professional opinion, a confident chatbot starts to look like the only option left.
A finance professor can afford to draw a hard line against letting algorithms make irreversible choices. A teenager staring at a blank college application, priced out of human advice, faces a colder reality. What lingers from these two stories is the gap between safe rules and economic necessity. A chatbot might be a terrible tool for picking a life path. Yet for millions, it is the only counselor in the room. The question left behind is this: when human guidance becomes a luxury, is a flawed machine better than walking into the dark alone?