The New Accounting Hire: What Skills Matter in an AI-Assisted Firm?

There has been a lot written about how AI is changing accounting.

Personally, I think the conversation often focuses on the wrong thing.

The more I use AI, the more convinced I become that the skills which make somebody a good accountant haven't really changed at all.

What has changed is the environment we apply them in.

Early in my career I spent most of my time processing transactions, preparing reconciliations and building technical knowledge. As I progressed through leadership roles, I spent less time doing the work and more time reviewing it.

That's exactly how I think about AI today.

In many ways, using AI feels no different to reviewing the work of a junior accountant.

The same question still applies:

Am I comfortable putting my name to this?

It doesn't matter whether the work was completed by a graduate accountant, a senior accountant, an outsourced provider or AI. The responsibility still sits with me.

The process is fundamentally the same. The source has changed. The responsibility hasn't.

That is why I struggle when people suggest AI is creating entirely new skill requirements.

The skills that have always made accountants valuable are the same skills we need today.

Critical Thinking Has Always Been Part of the Job

One of the things I find interesting about the debate around AI is how often critical thinking is discussed as though it's a brand-new requirement.

As accountants, we've always been critical thinkers.

Every day of our careers we've reviewed information, challenged assumptions, identified inconsistencies and questioned conclusions.

That's the job.

Most of the time AI is incredibly useful. But occasionally there is an assumption that doesn't hold up, a conclusion that doesn't quite follow, or an answer that sounds convincing but doesn't align with experience.

That's where judgement matters.

Not because AI is unreliable, but because accountants have always been responsible for determining whether information is accurate, complete and fit for purpose.

Curiosity Matters More Than Ever

Good accountants have never accepted information at face value.

We've always asked:

Why did that happen?

Does that make sense?

What am I missing?

Could there be another explanation?

The difference now is that we have access to an incredible amount of information at our fingertips.

The accountants who get the most value from AI won't be the ones who accept the first answer they receive.

They'll be the ones who continue asking questions.

Professional Scepticism Isn't Going Away

Professional scepticism has always been one of the most important skills in accounting.

Before AI, we reviewed work completed by junior accountant, senior accountants, and other colleagues.

Today, we're increasingly reviewing work completed by AI.

The principle remains exactly the same.

Verify information.

Test conclusions.

Challenge recommendations.

Look for anomalies.

The source of the information may have changed, but the responsibility for determining whether it's right still belongs to us.

What Will Change?

The biggest change isn't technical capability.

It's the speed at which people will be expected to develop.

Traditionally, graduates had several years to build confidence, learn how to communicate with clients, develop judgement and understand how businesses operate.

I don't think they'll have the same luxury in the future.

As AI helps people become technically productive faster, employers will expect junior team members to contribute at a higher level much earlier in their careers.

Communication, judgement and commercial awareness will become important sooner than they have in the past.

If I Could Only Assess One Thing

If I was hiring a graduate accountant today and could only use one assessment, I would choose a critical reasoning test.

I'd still like to know they understand debits and credits.

Technical knowledge matters.

But if I'm investing in someone, what I really want to know is whether they can think.

Can they analyse information?

Can they solve problems?

Can they make sound judgements?

Can they learn?

Technical skills can be taught.

The ability to think clearly is much harder to develop.

Final Thoughts

AI is changing how work gets done.

What it isn't changing is what makes a good accountant.

The accountants who will thrive in the future are the same people who have always thrived in the profession. They're curious. They ask questions. They apply judgement. They communicate well. They continue learning.

The tools are changing.

The qualities that matter most are not.