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The state of AI adoption in Australian SMEs in 2026

26 May 2026·6 min read·By pdconsults.

AI adoption in Australian SMEs sits between 29 and 68 per cent depending on which survey you read and how 'adoption' is defined. Productivity outcomes are inconsistent: the average self-reported productivity rating from AI use is 6.3 out of 10, with agriculture rating highest at 6.9 and retail/hospitality lowest at 5.5. Around 46 per cent of businesses using AI do not measure its impact at all. CSIRO research finds AI-adopting firms post 36 per cent more non-AI job ads than comparable non-adopters.

The honest headline

AI adoption in Australian SMEs in 2026 is genuinely broad, but the precise size of that adoption depends entirely on which survey you read. The publicly cited numbers in early 2026 range from 29 per cent (the MYOB Bi-Annual Business Monitor, November 2025, measuring SME AI tool use) to 68 per cent (CSIRO, using a broader definition covering all Australian businesses).

This is a much wider band than a casual reader of AI commentary would expect, and it is the most important fact about the Australian AI landscape in 2026. The reason matters: each survey defines "adoption" differently. Some count any business where any staff member has used an AI tool. Others count regular organisational use. Others count integration into business systems. The numbers are not interchangeable, and any single headline figure ("X per cent of Australian SMEs use AI") is misleading unless the definition is named.

The reliable read across surveys is that a clear majority of Australian businesses now have some exposure to AI, that the rate of new exposure has been increasing steadily through 2024 and 2025 (MYOB shows SME AI use rising from 23 per cent to 29 per cent in the six months to November 2025), and that systematic, measured use sits well below the top-line headline numbers.

These figures and the cross-source comparison are summarised in independent analysis by ScaleSuite, which cites each underlying body individually.

The four numbers most often cited

SourceAdoption figureDefinition used
MYOB Bi-Annual Business Monitor, Nov 202529 per cent of SMEsSMEs using AI tools
National AI Centre Adoption Tracker37 per cent of SMEsSME adoption
AiGroup52 per cent of businessesAll business sizes
CSIRO68 per cent of businessesBroad, all-business definition

The MYOB and National AI Centre figures are SME-specific. The AiGroup and CSIRO figures cover all business sizes, which is why they trend higher (larger firms have adopted earlier and more deeply). A business comparing itself to "AI adoption among Australian SMEs" should look at the MYOB and NAIC numbers rather than the headline 68 per cent.

What the productivity data actually says

The productivity picture is genuinely mixed, and the most honest place to start is the measurement gap.

Approximately 46 per cent of Australian businesses using AI do not measure its impact at all, per the cross-source analysis in ScaleSuite's resource. This is the single most important caveat to any productivity claim in the Australian AI conversation: a near-majority of adopters cannot say with evidence whether AI is helping their business.

Where productivity is rated, self-reported ratings average 6.3 out of 10 across all sectors. The sector spread is meaningful: agriculture rates highest at 6.9, retail and hospitality lowest at 5.5. The retail rating is notable given the volume of investment retail has reportedly made in generative AI tools through 2025 and 2026.

The honest read is that AI is producing real productivity gains for some businesses and minimal measurable gain for others, that the businesses most likely to be benefiting are those that have set up to measure impact in the first place, and that the conversation about AI productivity will improve substantially over the next 12 to 24 months as measurement matures.

The CSIRO finding on AI and jobs

The most rigorous public Australian data on AI and employment comes from CSIRO research published in April 2026, which analysed more than 4,000 Australian firms.

The headline finding from that research: AI-adopting firms posted 36 per cent more non-AI job ads over time than comparable non-adopting firms. The research''s framing is that "companies adopting AI are not shedding workers" and were "advertising for more jobs" than counterparts without AI adoption.

This is a 2026 read of an early curve, and it does not foreclose the possibility that AI will displace jobs over a longer horizon. It does evidence that, in the current cohort of Australian AI adopters, adoption is correlated with hiring strength rather than weakness. Businesses adopting AI in 2026 are signalling growth capacity, not cost-cutting capacity.

The regulatory environment

Australia confirmed in early December 2025 that it will not introduce a standalone AI Act. Reporting in the IAPP (2 December 2025) confirms the government will "continue to build on Australia''s robust existing legal and regulatory frameworks" rather than establishing mandatory guardrails for high-risk AI settings.

The replacement framework has three parts: the Voluntary AI Safety Standard and its 10 voluntary guardrails, the new Australian AI Safety Institute (funded at AUD 29.9 million per the IAPP reporting, launching in early 2026), and the continued application of existing law including the Privacy Act.

For SMEs the practical implication is that there is no AI-specific compliance regime to meet. There is, however, no reduction in the existing duties (privacy, consumer protection, sector-specific regulation) that apply to AI systems within their scope.

What an Australian SME should actually take from this

Three things sit clearly in the data the available primary sources support.

First, adoption is now broad enough that non-adoption is the outlier. Whichever survey you trust, between roughly 30 and 70 per cent of Australian businesses are now using AI in some form. A business at zero AI use in mid-2026 is increasingly an exception, and the competitive cost of remaining there will only grow.

Second, the measurement gap matters more than the adoption gap. The fact that around 46 per cent of AI-using businesses do not measure impact is a clearer competitive opportunity than most strategic frameworks acknowledge. The minority of SMEs that set up measurement properly will be able to direct AI investment toward what is working and away from what is not, while the majority continue to deploy AI by intuition.

Third, the regulatory environment is permissive but not absent. The voluntary guardrails are real, the Privacy Act is unchanged, and the sensible posture for an Australian SME in 2026 is to adopt fast and document well, not to wait for clarity that has already arrived in the form of the existing legal framework plus voluntary guidance.

Where to start

The most useful first move for an Australian SME in 2026 is not to commission a strategy. It is to identify one workflow where AI could plausibly remove hours of work or improve a decision, ship a tight implementation in 60 to 90 days, and measure the result. That measurement is the work most adopters skip.

The 10-question AI Readiness Assessment linked at the bottom of this page is a two-minute way to find out where the immediate opportunity is in your specific business.

Sources and references

Where two surveys disagreed on a specific number, this article reports the range and names each source, rather than picking a single figure. Where a previously circulated number could not be confirmed against a primary or quoted source, it has been omitted.

Frequently asked

What percentage of Australian SMEs are using AI in 2026?

The honest answer is that it depends on which survey you read. The MYOB Bi-Annual Business Monitor (November 2025) puts SME AI tool use at 29 per cent, up from 23 per cent six months earlier. The National AI Centre Adoption Tracker reports 37 per cent. AiGroup reports 52 per cent across all business sizes. CSIRO, using a broader definition covering all Australian businesses, reports 68 per cent. Each survey measures something slightly different, which is why the range is so wide.

What sectors lead AI adoption in Australia?

By self-reported productivity rating from AI use, agriculture leads at 6.9 out of 10, with an average across sectors of 6.3 out of 10. Retail and hospitality rate lowest at 5.5. The data does not yet support strong sector-by-sector adoption percentages, in part because 46 per cent of businesses using AI do not measure its impact, making sector-level claims about outcomes anecdotal rather than evidenced.

Is AI cutting jobs in Australian businesses?

Recent CSIRO research analysing more than 4,000 Australian firms found that AI-adopting firms posted 36 per cent more non-AI job ads over time than comparable non-adopting firms. The research does not support the claim that AI is reducing employment in adopting firms. It does not yet tell us whether that pattern will hold as adoption deepens beyond the early-adopter cohort.

What does the research say about AI productivity in Australia?

The clearest finding is not a productivity number; it is a measurement gap. Around 46 per cent of Australian businesses using AI do not measure its impact at all, according to the data referenced in industry analysis. Self-reported productivity ratings sit at 6.3 out of 10 on average. Strong claims about specific productivity uplift percentages should be treated with caution until measurement practice improves.

Written by

Pravesh Datt, founder of pdconsults.

15 years in digital strategy, design, and commerce. Certified Shopify Partner. Working directly inside the AI industry, building real-world systems for Australian businesses.

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