The first rung of a career is an opportunity to learn, receive guidance and prove one’s value. Yet simple research, summaries, standardised writing and initial analysis can now be assisted or automated.
Junior tasks are easiest to delegate
A beginner prepares notes, documents, summaries, tables or first drafts. These tasks create value while allowing people to learn under supervision. Generative AI can speed up some of them.
An experienced team can produce more with less junior support. But if nobody performs learning tasks today, who will become tomorrow’s expert? Tharman’s warning remains a political assessment and will need to be measured occupation by occupation.
A degree no longer proves the ability to act
When a tool quickly produces a note or standard code, a degree becomes a less distinctive signal. Defining the problem, checking sources, spotting an error and taking responsibility for a decision become more valuable.
Knowing how to use AI means explaining why an output is reliable, which data were used, what remains confidential and when human validation is necessary. Portfolios, internships and projects may count for more, with a risk of inequality for those with fewer resources or connections.
The short-term trap for employers
Reducing junior recruitment lowers immediate costs but can deprive a company of future managers trained in its culture. It becomes more dependent on experienced staff, who are scarce and expensive.
The first job can be redesigned: AI speeds up simple tasks while the junior employee investigates, talks to customers, checks quality and understands the context. That requires explicit supervision and measurement of errors that otherwise go unnoticed.
What public policy can do
Education must integrate AI without abandoning reasoning, calculation, source citation and recognition of uncertainty. Institutions can place more weight on the process, oral assessment and projects grounded in context.
Apprenticeships, quality internships and transition jobs need support. Detailed data on hiring, tasks, wages and mobility are essential to move beyond anecdotes.
Preserve the first rung
The risk is not the sudden disappearance of every junior job, but a first rung that gradually rises until it becomes inaccessible without previous experience or connections.
The strongest response is to build jobs in which AI accelerates learning instead of removing it.

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