The trap nobody is admitting
AI handles a lot of what juniors used to do. Draft the first report. Clean the first dataset. Run the first reconciliation. Write the first test. The temptation is obvious: cut the junior pipeline, capture the productivity, save the cost line.
Three years later, those teams will discover that senior people do not grow on trees. The pipeline you cut today is the senior pipeline you cannot rebuild in 2029.
What good fresher hiring looks like in an AI workplace
Hire fewer juniors, but train them harder. Move them faster onto AI-augmented work. Give them ownership of evaluation, review, and judgment from week one, not month nine.
The new junior is not a typist. They are a junior reviewer. They evaluate AI outputs, debug edge cases, ship small pieces of real work, and learn the domain by being responsible for it.
How to screen for it
Stop optimising for university brand. Optimise for shipped work. A candidate who automated something for their college club, built a small AI-assisted product, or improved a real workflow will outperform a stronger CV every time.
Make AI usage explicit in interviews. The fresher who can use AI well and still think is the future of every team that does not want to die in 2029.