Buying AI tools was the easy part. Capturing the return is where most small businesses are falling short. Here is the practical fix.
Why this matters: For small business owners, nine hours per worker per week is a meaningful return on the investment made in AI tools. But capturing that return requires more than buying the technology. It requires deliberate decisions about where that time goes, and most businesses have not made those decisions yet.
Most small business owners adopted AI tools expecting a productivity leap. According to new research from RMIT Online and Deloitte Access Economics, the leap already happened. The problem is most businesses cannot see it.
The report, based on a survey of 2,025 members of the Australian labour force conducted in January 2026, found that AI saves the average worker nine hours per week. Millennials save 11 hours. Even Boomers, the least confident AI users, save six hours weekly.
At those numbers, a small business with five staff is potentially recovering more than 40 hours of productive capacity every week through AI tools already in use. That is effectively a full-time employee’s worth of time, generated without a new hire, without a pay increase and without additional overhead.
The question is where that time is going.
Where the time is actually going
The research is direct on this point. Nearly half of workers, 47%, are reallocating time saved through AI to completing more tasks. Only one in four, 25%, is using that time for skill development or higher value work.
In other words, AI is not making most workplaces more strategic. It is making them busier. Workers are doing more of the same things faster rather than doing different, more valuable things with the capacity they have recovered.
For small business owners, this is a management problem, not a technology problem. The tools are working. The direction is missing.
Nic Cola, CEO of RMIT Online, identified the root cause clearly. “The research makes it clear that self-guided, ad-hoc experimentation is not enough to move the needle on national productivity. We are seeing a landscape of ‘shadow AI’ where nearly half of workers are teaching themselves through trial and error, often building surface-level technical skills while critical judgement lags. For employees and the economy to benefit, employers must move away from informal guidance and invest in structured, accredited learning that prioritises critical thinking and strategic application.”
The economic cost of getting this wrong is significant. If half of all beginner-level workers improved to intermediate AI literacy, the total dividend to the Australian economy would exceed $18.9 billion, according to Deloitte Access Economics modelling. Improving from beginner to intermediate is associated with around $7,000 in additional annual wages per worker. Moving to advanced literacy reflects a benefit of almost $11,000 annually.
The judgement gap making it worse
There is a second layer to the problem that makes it more urgent for small business owners.
Workers are twice as likely to be advanced in technical AI skills, such as prompting, at 21%, than in critical judgement capabilities such as ethical awareness, risk assessment and the ability to evaluate outputs accurately, at 11%.
That imbalance matters because technical skills without judgement produce confident mistakes. Workers who know how to use AI tools but cannot assess whether the output is actually correct are introducing errors into business processes without realising it.
The numbers behind that risk are striking. Previous research cited in the report found that 95% of companies have experienced an AI-related incident over the past two years, with an average financial loss of $800,000. Currently, 56% of workers have made mistakes due to AI use, and more than half admit to presenting AI-generated content as their own.
For a small business, an AI-related mistake lands without the buffer of a corporate risk or legal team. The consequences are direct, immediate and often visible to clients.
Rhiannon Yetsenga, Associate Director at Deloitte Access Economics, said the priority needs to shift. “The productivity gains from AI are undeniable, but the focus now needs to shift from mere adoption to competency. The real opportunity is equipping workers to use AI effectively, strategically and ethically.”
How toactually capture the gain
The report’s recommendations are practical and do not require a large training budget or an external consultant. For small business owners, three actions stand out.
First, decide where the recovered time should go. If AI is saving your team hours every week and you have not told them what to do with that time, they will fill it with more tasks by default. Be deliberate. Identify the higher value activities, client relationships, business development, process improvement, that you want that time directed toward and make that expectation explicit.
Second, build basic judgement into how your team uses AI tools. That means establishing simple internal guidelines around what AI outputs need to be checked, by whom and before what decisions. The report recommends providing clear rules on permitted AI use and prioritising practical use cases over broad open-ended experimentation. A ten-minute team conversation about when not to trust AI output is more valuable than another subscription.
Third, close the generational gap in your team deliberately. Younger workers tend to be technically confident but overestimate their accuracy, with 21% of Gen Z overestimating their AI skills compared with 10% of Gen X. Older workers are more careful but less likely to adopt AI at all, with 76% of Baby Boomers at beginner level compared with 43% of millennials. Pairing those strengths, technical confidence on one side, careful judgement on the other, is a practical way to lift the whole team without a formal training program.
The report is clear that senior leadership involvement is critical to driving this shift. For small business owners, that means the change starts with you. If you are not asking where the AI-recovered time is going, no one else will.
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