How Australian SMEs Are Adopting AI, and Where They Are Stuck

Around 43% of Australian SMEs report some AI adoption, according to the National AI Centre's tracker, while the ABS counts about 12% of businesses actually using AI. Adopters mostly use it for content and data analysis. The rest are held back by three things: trust, not seeing the relevance, and not knowing where to start.

How many Australian SMEs use AI?

The two main sources disagree, and both are useful. According to the National AI Centre, 43% of Australian SMEs reported some level of AI adoption in the December 2025 to February 2026 quarter, rebounding to 44% in February. The Australian Bureau of Statistics found around 12% of businesses used AI in 2024-25.

The National AI Centre figure comes from its SME AI Pulse, a monthly survey run by Fifth Quadrant. Each wave covers at least 400 SME owners and decision-makers, weighted by industry, state and size. The quarter's 43% was a small dip from 45% in the previous quarter.

The ABS figure comes from its Business Characteristics Survey. It shows adoption rising fast from a low base: about 35% of large businesses used AI in 2024-25, up from 9% in 2021-22. Medium businesses sat at 22%, and small and micro businesses at around 11%.

Why do the National AI Centre and ABS figures differ?

They measure different things. The National AI Centre asks SMEs how they describe their stage of adoption, which includes limited and early use. The ABS counts businesses reporting AI in use in their workplace, across all sizes, including the many micro businesses. So the tracker runs well above the ABS figure.

Neither figure is wrong. For a business owner, the tracker answers "how many peers are trying AI?" By contrast, the ABS answers "how many have it working in the business?" The gap between the two is roughly the gap between experimenting and embedding.

Innovation matters more than size in the ABS data. Among innovation-active businesses, 20% used AI, against 6% of businesses that were not innovating. Innovation-active small businesses reached 19%, close to the rate for medium businesses overall.

Which industries are furthest ahead?

Information, media and telecommunications leads, with 38% of businesses using AI in the ABS data. Professional, scientific and technical services and financial and insurance services follow at 24% each. In the National AI Centre's data, fewer than 30% of construction and agriculture businesses are adopting AI.

Financial and insurance services is the striking line. Its adoption rose 24 times over three years. In other words, a regulated, risk-conscious sector moved fastest once the use cases became clear.

What are Australian SMEs using AI for?

Mostly content and data. According to the National AI Centre, 54% of SMEs using or planning to use AI use it for content generation, and 54% for data analytics. Cybersecurity and threat detection follows at 48%. More complex uses, such as agentic AI, supply chain optimisation and AI-assisted HR, remain largely untapped.

These are sensible starting points. They are productivity tasks, low risk to try, and a person checks the output before it matters. That is also where most value shows first: drafts, summaries and reports that used to take hours.

The National AI Centre also sees adopters going deeper. Broad adoption, where AI is used across several parts of the business, reached its highest level in seven months, while limited, one-off use declined. Businesses that commit tend to expand rather than retreat.

Where are Australian SMEs stuck?

Three barriers explain most of it. Around 65% of non-adopting SMEs cite distrust of AI decision-making or a strong preference to keep human control. More than half (54%) say AI is not relevant to their business. And 19% say they simply do not know how to use AI in their business.

The trust barrier is the most interesting, because it describes a design choice rather than a limit of the technology. Businesses can use AI and keep human control. AI drafts and prepares, and a named person approves anything sent, published or spent. The guide to approval gates shows how that works in practice.

There is also a governance gap among adopters. About half of current users check AI outputs before they affect customers, the most common safeguard. However, telling customers about AI use, and giving them a way to raise concerns, lag well behind.

What gets an SME unstuck?

Answer each barrier directly. To build trust, keep a person approving anything that leaves the business. For relevance, start with one task the team does every week. If nobody knows how, pick that task and get it running before committing to more. Then add governance as use grows, following the National AI Centre's guidance.

Starting small is not timid; it is how evidence builds. One weekly workflow, such as a client report or a proposal draft, seen running, answers the relevance question better than any presentation. The guide on where to start covers how to choose it.

Governance can stay light. The National AI Centre's six essential practices begin with deciding who is accountable and end with maintaining human control. The plain-English reading of the National AI Centre's guidance shows what that means for a 50-person business.

Skein does AI strategy and implementation for growing businesses, starting with the workflow that pays back fastest, and nothing is published, sent or spent without a named person approving it; the Skein home page explains the approach. That suits a B2B business of 10 to 200 people whose staff already use AI on their own. A sole trader or a two-person team will usually do better with a well-organised personal setup.

Frequently asked questions

What percentage of Australian SMEs use AI?

The National AI Centre's tracker found 43% of Australian SMEs reported some AI adoption across December 2025 to February 2026, and 44% in February. The ABS, which counts AI actually in use across all businesses, found about 12% in 2024-25. That difference is mostly between trying AI and embedding it.

Which Australian industries use AI the most?

In ABS data for 2024-25, information, media and telecommunications leads at 38%, followed by professional, scientific and technical services and financial and insurance services at 24% each. The National AI Centre finds health, education and services above half, with construction and agriculture below 30%.

Why are Australian small businesses not using AI?

The National AI Centre identifies three main reasons. About 65% of non-adopters distrust AI decisions or want to keep human control. Over half say AI is not relevant to them. And 19% of SMEs say they do not know how to use AI in their business at all.

What do Australian SMEs use AI for?

Content generation and data analytics lead, each used by 54% of SMEs that use or plan to use AI. Cybersecurity and threat detection follows at 48%. More complex uses, such as AI agents, supply chain optimisation and AI in HR, remain rare among Australian small and medium businesses.

How should an Australian SME start with AI?

Pick one task the team does every week, such as a report or a proposal draft, and get AI doing it well with a person approving the result. Measure the time saved. Then follow the National AI Centre's guidance to name an accountable owner and set simple rules before expanding.

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