AI Might Solve the Technical Gap — But It Could Create an Experience Problem in Accounting

AI might remove the very work that created great accountants.

Everyone is talking about how AI will transform accounting — automating reconciliations, preparing accounts faster, and reducing the technical workload across firms.

But there’s a question I don’t think we’re asking enough:

If AI removes the technical work, how do we develop the next generation of accountants?

Because historically, that work wasn’t just production.

It was how we learned.

Most of us didn’t start as advisors

The people leading firms today — the partners, directors, and senior advisors — didn’t begin their careers giving strategic advice to clients.

They worked their way up.

They spent years in the detail. Preparing accounts. Reconciling data. Reviewing tax work. Trying to understand why something didn’t look quite right in the numbers.

At the time it probably felt like routine work.

But looking back, that’s where the real learning happened.

Over time you start to see patterns.
You understand how businesses behave financially.
You learn how the numbers connect to decisions.

And slowly you develop something that’s hard to teach in a classroom — judgment.

That judgment is what eventually allows someone to move from compliance work to advisory conversations.

AI changes that learning path

Now imagine a world where much of that work is done by AI.

Accounts prepared instantly.
Transactions coded automatically.
Reports generated in seconds.

On one hand, that’s progress. It removes a lot of low-value work and frees up time for higher-value conversations with clients.

But it also removes the environment where many of us built our experience.

If early career accountants are no longer spending years working through the detail of financial information, where does that experience come from?

Because advisory work isn’t just about presenting insights.

It’s about knowing what questions to ask.

And the ability to ask good questions usually comes from having spent time understanding how the numbers actually work.

AI can produce answers — but only if it understands the full picture

There’s a growing narrative that AI will allow accountants to skip the technical learning curve and move straight into advisory.

I’m not convinced it’s that simple.

AI can absolutely analyse financial data, identify patterns, and flag anomalies — often far faster than we can. If it has access to the right data sets, it can detect trends in margins, cashflow movements, seasonality, or changes in customer behaviour.

But financial data alone rarely tells the whole story.

To truly understand what is happening in a business, the numbers need to be interpreted alongside other information — industry trends, operational changes, staffing pressures, pricing decisions, supply chain disruptions, or shifts in customer demand.

Those are the kinds of factors accountants often learn about through conversations with clients and through experience working closely with their businesses.

AI can analyse the data it is given. But someone still needs to understand the business well enough to know what data matters, what might be missing, and what questions need to be asked next.

For example, AI might flag a change in gross margin. But an experienced accountant might know the business recently changed suppliers, adjusted pricing, or shifted its product mix — things that may not be immediately obvious in the financial data alone.

That broader understanding is what allows accountants to move beyond reporting numbers to helping clients interpret what those numbers actually mean.

Without that context, there’s a risk that professionals become operators of AI outputs rather than interpreters of financial insight.

And that’s a very different role.

The real gap might be experience

There has been a lot of discussion recently about the “AI skills gap” — the idea that accountants will need stronger human skills like communication, relationship building, and strategic thinking.

I agree with that.

But I think there may be another gap emerging.

An experience gap.

If AI accelerates the technical work, professionals may find themselves in advisory conversations earlier in their careers — but without the depth of exposure that historically built confidence and judgment.

That fundamentally changes how people develop in this profession.

For decades we’ve relied on experience gained by doing the work.

AI disrupts that model.

What worries me slightly is that the profession may be celebrating the efficiency gains without fully thinking through the development implications. If the work that historically trained accountants disappears, we risk creating a generation of professionals who are excellent at managing technology but have had far less exposure to the mechanics of how financial information is built. And if that happens, the pathway from compliance to advisory could become much harder to navigate.

We’ll need to rethink how we develop people

If the traditional learning path changes, we can’t just assume expertise will develop naturally over time.

We’ll need to be far more intentional about how people learn.

That means giving emerging professionals earlier exposure to real business conversations, stronger mentoring from experienced advisors, and helping people understand how to think critically about financial information — not just how to produce it.

Because when I look back at how many of us learned the profession, it wasn’t through structured training alone. It was through years of working through the numbers and slowly understanding what they were telling us about a business.

Even in an AI-enabled profession, technical understanding still matters.

It’s what allows someone to ask the right questions.

Technology will move fast. People still matter.

Right now many firms are focused on which AI tools to adopt.

That’s important.

But the bigger question might be how we develop the people who will use them.

The firms that succeed in the AI era won’t just be the ones that automate the fastest.

They’ll be the ones that rethink how experience is built.

Because technology will absolutely change how the work gets done.

But the long-term strength of the profession will still depend on something much more human.

How we develop the people behind it.

 

If AI removes the work that trained accountants for decades, the profession must redesign how experience is built.