By: Mark Cummings, Ph.D.
We often think of transformation as something we do. For young people today, it is something happening to them. Five years ago, young people had a sense that if they wanted to do X as a job, they
needed to study A. Do extracurricular B. Do well at both. Then, they would have a fairly well-known course of education and working years. With the advent of GenAI, that is no longer true. It is
unclear how society will transform to adapt to AI.
Given the uncertainty, what should parents, educators, managers, and executives tell young people? The best message for all seems to have four guiding principles:
- try to reduce stress;
- study what interests you;
- accept that your life is likely to be characterized by an accelerating rate of change; and
- try to participate in shaping the transformative adaptations that society will have to make.
Background
The idea that the best way forward is to set a career goal and structure your education around that is well established. Thirty years ago, a young girl decided that she wanted to become a
veterinarian. She knew that it would be difficult to get into a vet school. So, she started building a record of strong biological science courses and extracurricular activities working in animal
rescue.
More recently, a young man decided that he wanted to become a fireman. He took high school courses that would gain him admission to a community college to take the prerequisites for
admission to a fire academy run by a local government.
Another young man decided he wanted to become a plumber. He took an internship at a plumbing company.
All of them were successful. Planning ahead and working to qualify for a particular job worked. But what happens if, while you are preparing, the job disappears?
Current Uncertainty
In October of 2024,
AIWG (AI Working Group) started researching AI job loss.
We started publishing about
AI job loss in
June of 2025 and AI job loss in the constellation of the broader concerning
societal effects of GenAI in September 2025. By February of 2026, there seemed to be wider societal recognition of the problem. This can
be seen in two publications in that month: the first in
The Atlantic and the second in a widely read
blog post.
In August of 2025, we started talking with young people about AI and their futures. There is a young man who decided at the age of 9 that he wanted to become a computer scientist and started
preparing for that. He is now in the early years of college at a leading university. He tells me that he thinks that his strong STEM