AI-Ready Australian Firms Save 4 Hours Per Employee Per Week
MYOB surveyed 1,000+ mid-sized businesses and found AI-ready firms save half a day per employee per week. Most firms aren't ready — and the gap is widening.
Half a day per employee, every week
MYOB and Oxford Economics surveyed more than 1,000 decision-makers in mid-sized Australian and New Zealand businesses. Among companies with 50 to 99 employees, AI-assisted work recovers an average of 4 hours per employee per week. Half a working day, every week, returned to the business.
But the number has an asterisk. It does not apply equally. The report found a 55-percentage-point gap in productivity outcomes between businesses that invested in AI readiness and those still experimenting. Three quarters of leaders surveyed said AI has driven meaningful productivity improvements — but the gains concentrate heavily in firms that got the groundwork right before they deployed the technology.
4 hrs
Saved per employee per week
Businesses with 50–99 employees
75%
Report meaningful AI productivity gains
MYOB Autonomous Business Report
Four cohorts, radically different outcomes
The Autonomous Business Report 2026 segments businesses into four maturity cohorts based on AI readiness and ambition. At the top, 43 per cent sit in the Accelerating cohort — high readiness, high ambition. Among these firms, 92 per cent report meaningful AI-driven productivity gains. At the other end, businesses in the Exploring and Reacting cohorts (18 per cent combined) report productivity gains at just 37 per cent.
Same access to tools. Same economy. Same labour market. The difference is not the AI — it is everything underneath it.
AI readiness cohorts among mid-sized Australian businesses
Source: MYOB Autonomous Business Report 2026 (Oxford Economics)
Five foundations that separate ready from wasting money
The report identifies five foundations that distinguish AI-ready businesses from the rest: data quality and integration, core systems (including modern cloud platforms), AI strategy and governance, workforce capability and training, and process automation.
For a trades business, data quality means your job management software, quoting tool, and accounting platform actually talk to each other — and the data flowing between them is clean enough for AI to work with. If your technicians enter job notes in six different formats, AI scheduling cannot optimise routes. If your inventory records sit in a spreadsheet that has not been updated since March, AI cannot manage stock.
For an accounting or law firm, AI strategy and governance means someone in the practice has decided which tasks AI handles, which it assists with, and which stay human — and communicated that to every team member. The MYOB data makes the case plainly: 92 per cent of ready businesses see productivity gains versus 37 per cent of those still figuring it out. The tools are not the variable. The foundations are.
Start with one foundation, not five
Do not try to nail all five at once. Pick the weakest foundation in your business and start there. For most SMEs, it is one of two things: data quality (your systems do not talk to each other, or the information in them is inconsistent) or workforce capability (your team has the tools but no structured approach to learning when and how to use them).
One diagnostic worth running this week: ask three people in your business the same question about a specific metric — last month's average job value, current work-in-progress, outstanding debtor days. If you get three different answers sourced from three different systems, your data foundation is not ready for AI. Fix that before you buy another subscription.
Key takeaways
Sources
MYOB — Autonomous Business Report 2026 (Oxford Economics, May 2026)
MYOB — Australia's mid-sized businesses see AI gains, but gaps remain (May 2026)
▶Assumptions & methodology
- The 4-hour figure applies to businesses with 50–99 employees specifically. The MYOB Autonomous Business Report 2026 surveyed 1,020 decision-makers in mid-sized Australian (518) and New Zealand (502) businesses with 20–500 FTEs and $5M+ revenue. Fieldwork was conducted February–March 2026 by Oxford Economics. Australian and New Zealand results are reported together; the Australian-only breakdown is not separately published.
- The 92% vs 37% productivity gap compares what the report labels 'advanced' businesses (the Accelerating cohort: high readiness, high ambition) with 'least advanced' businesses (the Exploring cohort: lower readiness, high ambition). The four-cohort segmentation is based on two dimensions: AI readiness and AI ambition.
- The five foundations (data quality and integration, core systems, AI strategy and governance, workforce capability and training, process automation) are from the report's 'five foundations of business autonomy' framework. They are not weighted equally — the report notes that data quality and core systems are prerequisites for the other three.
Next
The US Just Proved It Can Switch Off Your AI Overnight
Field Notes are general commentary on AI trends for Australian businesses. They don’t constitute professional advice. Talk to your accountant, lawyer, or IT adviser before acting on anything specific to your situation — or talk to us if you want help working out where AI fits.
Not sure which foundation is your bottleneck?
A short conversation can identify the one thing standing between your team's AI tools and actual firm-wide gains. Book a call.
Book a call →