AI for Accounting Firms: Australia's $4.8bn Advisory Shift

Australia's accounting profession is sitting on a $4.8 billion opportunity, and by its own account the thing standing in the way isn't the technology. It's knowing how to use it. That's the finding buried in MYOB's Accounting Industry Monitor, published on 30 July.

MYOB's modelling puts the prize at roughly $835 million in extra revenue in the first year of broad AI and automation adoption, scaling to about $4.8 billion a year across the small-practice sector within five years. But when the same report asked practice leaders what was holding them back, the top answer wasn't cost, security, or client resistance. Nearly half — 49 per cent — said the barrier is simply understanding how to use AI and automation to run the practice better.

For a principal, that gap has a name you already know: another year of the same admin load, the same recruitment struggle, and a firm down the road that worked it out first.

The Accounting Industry Monitor surveyed more than 300 practice leaders and decision-makers across Australia — sole traders through to firms of 100-plus staff, MYOB customers and users of rival software alike. It's a fair read of where the profession sits, not a vendor's wish list.

The barriers it names are all versions of the same problem. 49 per cent point to understanding how to apply AI. 44 per cent flag security concerns. 39 per cent say they can't keep pace with the technology, and 37 per cent say their staff need more training. Notice what's not on that list: the tools themselves. Most of these firms already run MYOB or Xero, both of which shipped AI features straight into the subscriptions firms already pay for this year. What's missing is the know-how to put them to work.

That matters more this year because the profession can't hire its way out of the problem. 76 per cent of practice leaders reported difficulty recruiting, up from 71 per cent a year earlier. And 42 per cent said technology that freed their people for advisory work could help close that gap. The staffing shortage and the AI opportunity are the same story told from two ends.

Want to know what this means for your business? We'll map it in one call.

The $4.8 billion isn't a licence you buy. It's the revenue an accountant earns when the hours currently sunk into data entry, reconciliations and compliance chasing get handed to a machine — and the qualified person is freed to do the work clients actually pay a premium for. Advisory. It's a revenue capture move wearing an efficiency costume.

We've written before about accounting firms that want to move beyond admin into advisory but don't yet trust the tools to get them there. This is that same story with a dollar figure attached — and it lands squarely on the billing model. When AI closes a bank reconciliation in minutes, the hourly-billing logic that underwrites most practices starts to wobble. The firms that capture the upside aren't the ones with the most tools. They're the ones that rebuilt a workflow around the tools they already had.

This is, at its core, an admin leverage problem: take the routine load off qualified people so their hours compound into higher-value work instead of evaporating into compliance. The firms treating it as a change-management project — new workflow, trained staff, measured outcome — are the ones the modelling is describing. The firms treating it as a shopping list are the ones still stuck at 49 per cent.

Don't start by buying more software — the Monitor is blunt that the software isn't the blocker. Start by picking the single most time-consuming compliance task in your practice: BAS prep, bank recs, client onboarding, whatever eats the most senior hours. Map how many hours it costs across a quarter. Then wire the AI already sitting in your stack into that one workflow, measure the hours you get back, and redeploy them into one advisory conversation per client. That's the $4.8 billion, one practice at a time — and it's worth knowing where AI actually fits before you touch a tool.

The barrier the data names is know-how, and know-how is learnable. It's not a smarter product you're missing. It's a plan for how the work changes — which client tasks the machine takes, which stay with a person, and what the freed-up time is worth. If you're in the 49 per cent, you're not behind on technology. You're one workflow away from the return.

Key takeaways

Common questions

Related notes

Know AI belongs in your practice, but not where to start?

Book a call. We'll map your practice's admin load against what AI can take off your team today, and build the one workflow that frees the most senior time for advisory — the shift the data says pays.