When the Bottom Rung Disappears: Rethinking Entry-Level Work in the AI Age

There’s a lot of conversation at the moment about AI and what it means for the future of work.

What can it automate? What can it do faster? What jobs will change? What tasks won’t need a human anymore?

And, for the most part, I’m excited about it.

I’m all for technology taking away repetitive work. If a system can process something faster, reduce double handling, remove unnecessary data entry or give us more time to actually work with our clients rather than just process their paperwork, I’m here for it.

But sitting at a conference recently, listening to conversations about AI, automation and the future of bookkeeping, I found myself thinking about a slightly different question.

What happens when AI takes the “beginner” work?

Not what happens to experienced bookkeepers.

What happens to the people who are trying to become experienced bookkeepers?

We all have to start somewhere

For a long time, people entering bookkeeping, accounting and plenty of other professions have built their experience from the ground up.

You learn the theory through certificates, diplomas, courses and formal training. You learn how accounting works, how GST works, how to use the software and what should happen in a particular situation.

Then you get a junior role and start doing the work.

Maybe it’s entering invoices, reconciling transactions, processing accounts payable, following up debtors, checking receipts or working through a pile of fairly straightforward transactions.

Is it the most exciting work in the world?

Probably not.

But while you’re doing it, something else is happening.

You’re learning.

You start noticing that this client always pays that supplier around the same time each month.

You realise an expense is much higher than usual.

You see a transaction coded somewhere that just doesn’t quite make sense.

You notice that the bank balance and the profit on the screen are telling two very different stories.

You ask someone more experienced, “Why do we do it this way?”

And, perhaps most importantly, you make mistakes in an environment where there is someone above you who can catch them, explain them and help you understand why they matter.

None of those individual moments necessarily feels like career-defining professional development.

But stack hundreds, then thousands, of them together and you start developing something incredibly valuable: professional judgement.

You can’t learn it all from a textbook

Formal training is incredibly important, and I absolutely believe there is a place for qualifications, certificates, diplomas, micro-courses and continued professional development.

We need the theory. We need to understand the rules before we start deciding how they apply, but there’s a gap between knowing something and knowing what to do with it.

You can teach someone what a Profit & Loss report is, it takes experience to look at one and think, “Hang on, that doesn’t look right.”

You can teach someone how to reconcile a bank account, it takes experience to recognise the patterns that suggest something else is going on.

You can teach someone what questions to ask a client…. it takes experience to know when the answer you’ve been given means you actually need to ask three more.

And you can teach someone how to produce a set of reports but it takes a different skill altogether to sit across from a business owner, explain what those numbers mean in plain English, and help them understand what they might mean for the decisions they need to make next.

That judgement comes from exposure. From repetition, from mistakes, from conversations, from seeing the same thing play out in ten different businesses and discovering that it doesn’t always have the same answer.

So what happens if the bottom rung disappears?

This was the question I raised at a recent bookkeeping conference.

If AI and automation increasingly take over the simpler data entry and processing tasks that junior bookkeepers have traditionally started with, where does the next generation get that experience?

Because we can’t expect someone to complete their formal training on Friday and walk into work on Monday ready to provide high-level advisory services simply because software now handles the work that used to sit in between.

We risk creating a widening gap, on one side, we have theoretical knowledge and on the other, we have experienced professionals with years of practical knowledge and professional judgement.

But how do we get people from one side to the other if some of the stepping stones are disappearing?

I don’t think the answer is to resist AI. Trying to preserve inefficient work simply because “that’s how we learned” doesn’t make sense either. The technology is here, it’s improving quickly, and used well it has the potential to make our profession better.

So perhaps the bigger question is: How do we deliberately replace the learning that used to happen accidentally?

Rethinking what “entry level” looks like

Perhaps the future needs a much stronger bridge between formal education and experienced practice.

That could look like structured internships where newer bookkeepers work alongside experienced practitioners.

It could mean mentoring programmes that go beyond talking about running a bookkeeping business and include practical scenarios, reviewing work, problem solving and professional judgement.

It could mean simulated client situations based on real-world problems, where there isn’t always one neat textbook answer.

It could mean practices intentionally creating junior development pathways, even when the software technically means an experienced person could complete the task faster themselves.

And perhaps we need to rethink what we teach at the beginning altogether.

Instead of spending as much time teaching people how to process something, maybe we increasingly need to teach them how to review, question, interpret and communicate it.

Because if AI can do the processing, the human needs to understand whether what came out the other end actually makes sense.

This isn’t just a bookkeeping problem

Bookkeeping is where I see this most clearly because it’s my world, but I don’t think this conversation belongs to us alone.

Think about how many professions have traditionally relied on junior people doing the simpler work while learning from the people around them.

A junior lawyer researches cases and prepares documents before they’re expected to advise clients.

A graduate marketer might start by drafting content, compiling reports and analysing campaign results before developing strategy.

A new designer might handle smaller production tasks before leading an entire project.

An apprentice learns by doing the simpler jobs, watching someone experienced and gradually taking on more responsibility.

Even within administration, finance, HR and other professional services, there are tasks that might look basic from the outside but have historically been part of how someone learns how the whole machine works.

AI is increasingly capable of doing many of those tasks.

And that could be fantastic for productivity.

But if we automate the work, we need to be careful that we don’t accidentally automate away the learning pathway with it.

Experience has to come from somewhere

I don’t have a perfect answer to this yet.

In fact, that’s partly why I think it’s such an important conversation.

AI is going to change bookkeeping. It already has.

Personally, I’d rather spend my time helping clients understand their numbers, improving their systems, solving problems and giving them greater clarity and confidence than manually processing information that technology can handle for me.

That’s progress.

But I also want there to be skilled, knowledgeable, experienced bookkeepers coming through behind us. Those people who know when something doesn’t look right. The people who can spot the pattern hidden in the numbers and who know the next question to ask.

People who understand that behind every transaction is a real business, and behind that business are real people making real decisions. the people who can use AI as a tool without blindly trusting whatever it gives them.

If the traditional path from beginner to experienced professional is changing, then I think those of us already in the profession have a responsibility to think about what replaces it.

Maybe that’s internships, maybe it’s structured practical experience, maybe it’s stronger mentoring.

Or maybe it’s something we haven’t built yet.

But I think the conversation needs to happen now, not in five or ten years when we suddenly realise we have plenty of technology capable of doing the work...

and not enough people who understand why the work matters.

If AI takes away the beginner work, we need to make sure it doesn’t take away the beginners with it.