Most Australian SMEs Use AI Now. Only 5% Get Real Value From It.

Two-thirds of Australian small and medium businesses are now using AI in some form. That’s the headline number from Deloitte Access Economics’ The AI Edge for Small Business report, published in November 2025 and based on a survey of more than 1,000 Australian SMBs. On the surface, it looks like progress.

Look closer and the picture changes. More than 40% of those businesses are at the most basic level of AI adoption — using off-the-shelf tools like ChatGPT or AI-assisted search without any integration into their actual workflows. Just over half sit at an intermediate level. And only 5% qualify as “fully enabled”: AI embedded in core processes, employees trained to use it, and a centralised data system that lets the tools actually work.

That 5% figure is the one that matters. It means 95% of Australian SMBs using AI are leaving most of the value on the table.

Deloitte’s modelling puts numbers on what maturity is worth. An SMB that moves from basic to intermediate AI adoption could see profitability rise by roughly 45%. A business that moves from intermediate to fully enabled could see a 111% uplift. Those aren’t aspirational projections — they’re modelled against the performance differences Deloitte observed across the survey cohort.

At a national level, the report estimates that if just one in ten SMBs advanced one step up the maturity ladder, it would add $44 billion to Australian GDP annually. That’s not a technology promise. It’s an economic gap between where businesses are and where the tools could take them if properly implemented.

The gap between basic and enabled isn’t about buying more tools. It’s about three things: strategy, data, and capability.

Strategy means AI is part of how the business operates, not a side experiment. For a trades business, that might mean AI scheduling integrated with your job management system so it’s actually optimising routes against real constraints — not a standalone app someone checks occasionally. We’ve written before about the cost of drive time for trades businesses — the Deloitte data confirms that the businesses closing that gap are the ones with AI embedded in operations, not bolted on.

Data means your systems talk to each other. If your quoting tool, your job management platform, and your accounting software are three separate islands, AI can’t do much with any of them. Centralised, accessible data is the prerequisite — and for most SMEs, it’s the hardest step.

Capability means your team knows how to use the tools. Not as AI experts, but as competent operators who understand what the system is doing and can catch it when it’s wrong. The CPA Australia Asia-Pacific Small Business Survey, released this week, found that 57.7% of Australian business owners are aged 50 or over — the second-oldest profile in the APAC region. That’s not a barrier to AI adoption in itself, but it does mean capability-building has to be deliberate, not assumed.

If your business is already using AI at a basic level — and statistically, there’s a good chance it is — the question isn’t whether to adopt AI. It’s whether to get serious about it. That means three things. First, audit what you’re already using and ask whether any of it is connected to your core workflows or just floating alongside them. Second, pick one process where AI could replace a manual step end-to-end — not augment, replace — and make that work properly before expanding. Third, check your data infrastructure: can your key systems export data and connect to each other? If not, that’s step zero.

The 45% profitability uplift from basic to intermediate isn’t locked behind expensive enterprise software. It’s locked behind doing the basics well: clean data, connected systems, and one or two AI tools that are genuinely embedded in how your team works every day.

Key takeaways

Where does your business sit on the AI maturity ladder?

A 30-minute call is enough to map where AI fits in your business — and whether the opportunity is worth pursuing.