I recently came across an interesting question:
If AI becomes good enough to handle most of the entry-level grunt work, how are the next generation of juniors supposed to learn the ropes?
Someone responded with a great analogy:
There used to be rooms full of junior draftsmen doing repetitive technical drawings by hand. Then CAD came along and removed a huge amount of that work.
We did not decide that nobody could become an engineer or architect anymore because they had missed the experience of drawing hundreds of identical lines with a ruler.
We changed how people learned.
I think AI is going to force us to do something similar.
The grunt work was never really the point
The repetitive work itself was not what made someone good at their profession.
A junior accountant did not become experienced simply because they spent enough hours reconciling spreadsheets. A developer did not become senior because they typed enough boilerplate code. A customer support employee did not become a leader because they answered enough basic tickets.
What mattered was everything they learned while doing that work.
They saw mistakes. They encountered exceptions. They watched more experienced people solve problems. They started recognizing patterns and understanding why something that looked simple on the surface was often much more complicated underneath.
That is where judgment starts to develop.
AI can remove the task, but not automatically replace the learning
This is where I think the real problem lies.
If AI handles 60 or 70 percent of the work that juniors used to do, companies may see an immediate productivity gain. Fewer people may be able to produce more output, and routine work can move much faster.
That sounds great.
But what happens five years later when those same companies need experienced employees?
You cannot remove the environments where people gain experience and then be surprised when fewer experienced people exist.
The old career ladder may have been inefficient, but it also acted as a kind of informal apprenticeship. Junior employees did lower-risk work, made manageable mistakes, watched senior people, and gradually earned more responsibility.
If AI removes much of that work, the learning process has to become more intentional.
Entry-level work may simply move up the ladder
I do not think the answer is to preserve tedious work simply because previous generations had to do it.
That would make no sense.
Instead, entry-level employees may start further up the value chain. A junior analyst might use AI to create the first version of a report, but then be expected to verify the data, question the assumptions and explain the conclusion.
Believe me, verifying the data and questioning the assumptions is very important. AI is trained on data that we have created, and we are not perfect or exact — so the spreadsheet that it created based on data you provided is still generated based on data that it has learned, and if that data is not perfect… neither is your spreadsheet.
A new developer might use AI to generate code, but still need to understand how it works, test it and identify where it might fail.
A support employee might spend less time handling routine requests and more time learning troubleshooting, escalations and customer communication.
The work changes.
The learning still has to happen.
Managers may need to become more deliberate about development
For a long time, companies have relied on people learning naturally through the work itself. Give someone enough tasks, let them work beside experienced people, and eventually they improve.
AI may break that model.
If much of the basic work disappears, managers may need to create learning opportunities on purpose. That could mean more mentoring, shadowing, case reviews, structured problem-solving and deliberate exposure to more difficult situations.
In other words, development can no longer be treated as a side effect of getting work done. It may need to become part of the job design.
AI can also make juniors look more experienced than they are
There is another side to this.
AI can help a relatively inexperienced employee produce remarkably polished work. Reports, presentations, analysis, code and written recommendations can all look far more sophisticated than they might have a few years ago.
That is useful.
But producing senior-level output is not the same thing as having senior-level judgment. Judgement develops when things go wrong. It comes from making decisions with incomplete information, dealing with competing priorities, handling difficult people and seeing the consequences of choices over time.
AI can accelerate learning, but it cannot simply hand someone ten years of experience.
That distinction is going to matter.
The career ladder is not disappearing, but it may need redesigning
I do not think AI means the end of junior employees.
But I do think it may force companies to rethink what a junior role is actually for.
If the old model was: Do repetitive work for several years, learn by exposure, then move up
the new model may become: Use AI for routine work, spend more time understanding, validating, questioning and solving harder problems earlier
That could actually be a better system. But only if companies recognize that productivity and development are not the same thing. We should not preserve meaningless grunt work simply because it once helped people learn.
We should preserve the learning.
If AI removes the bottom rung of the ladder, we need to make sure we build another way up.