AI adoption is no longer sitting in the hands of early adopters. It is moving into the day-to-day of small business, and that changes the competitive baseline.
If you are running a manufacturing business and still treating AI as something to get to later, it is worth asking what that delay is costing in practical terms.
The latest figures from National Australia Bank Economics show forty two percent of Australian SMEs are already using AI. Another fourteen percent intend to adopt it. That moves the conversation away from experimentation and into expectation.
“We’re seeing a clear shift from curiosity to practical use, with more businesses using AI to save time, reduce admin burdens and make better decisions,” said Pete Steel, Group Executive for Digital, Data & AI at NAB.
At the same time, forty four percent are not using it at all. That is not a fringe group. It is a large portion of the market operating without something that their competitors are starting to rely on.
Where AI is actually being used in SMEs
The more useful question is not who is using AI, but where it is showing up.
It is not confined to technical functions. The strongest uptake is in marketing and sales at fifty-one percent, followed by operations and logistics at thirty-nine percent, and customer service at twenty five percent.
Those are not peripheral areas. They are directly tied to revenue, cost control, and how a business is experienced by customers and buyers.
So if you are not using it, the question becomes more pointed. Are you making decisions, responding to customers, and managing operations at the same speed as those who are?
What is shifting here is the role AI plays inside a business. It is less about capability and more about utility. The businesses adopting it are not trying to reinvent their model. They are looking at where time is being lost, and decisions are slowing down.
Time back keeps coming through as the clearest outcome. Less admin. Faster quoting. Better visibility on financial performance.
That sounds operational, but it carries weight commercially.
If one supplier is turning around pricing or proposals faster, or adjusting production based on clearer signals, that feeds directly into how buyers assess them. Responsiveness, reliability, ease of doing business. These are the factors that shape ongoing ranging decisions, even if they are not always explicitly stated.
There is also a sector split that raises questions. Property services, finance, and business services are well ahead on adoption. Manufacturing sits at thirty-five percent. Retail is lower again.
That is not necessarily about complexity. It may be about translation. How clearly can AI be applied to real tasks on the floor or in the office?
The examples coming through suggest the barrier is not as high as assumed. One SME owner moved from scepticism to using AI for financial analysis, quoting, and onboarding. Another started after attending a practical session, then expanded usage across marketing, sales, and operations.
These are not large-scale transformations. They are incremental steps.
Which brings it back to the real sticking point. Is the hesitation about capability, or simply where to begin?
The cost of sitting out
“Unlocking this adoption at scale across the economy has real potential to help Australia increase productivity and lift our global competitiveness,” said Steel.
There is another layer building behind this. As more SMEs adopt AI, expectations shift without much noise. Buyers and partners are not asking whether AI is being used. They are reacting to the outcomes.
Faster replies. Cleaner communication. More accurate information. Fewer delays.
Once that becomes the norm, anything slower starts to stand out.
That is where the commercial impact sits. Not in the technology itself, but in how it changes the pace and quality of business interactions.
There is also a risk in how AI is being framed. A lot of the discussion still centres on tools and platforms. The operators getting value are approaching it differently. They are identifying where time is being lost or where decisions lack clarity, then applying AI to those points.
That is a more grounded starting point.
Support from government programmes is starting to build, aimed at helping SMEs adopt AI with more confidence. That suggests the direction is set. The question is how quickly individual businesses move.
For manufacturers, this becomes practical. Where are the slow points? Forecasting demand, managing production, handling enquiries, or dealing with the volume of admin behind the scenes.
Those are the areas already being addressed elsewhere.
If nearly half the market is already working this way, and more are on the way, it is no longer a question of if AI becomes part of standard operations.
It is a question of when your business catches up, and what happens in the meantime if it does not.
Subscribe to the Restaurant & Café newsletter for weekly industry updates and event coverage.
