Insights
AdoptAI adoption

Australian SMEs are entering the AI adoption gap

AI adoption is accelerating, but smaller firms remain well behind larger businesses. The opportunity is not to chase tools; it is to redesign how work and value move.

By Geoff Gourley · 5 min read · Reviewed

The AI divide is no longer between businesses that have heard of artificial intelligence and those that have not. It is between organisations experimenting with isolated tools and those redesigning how their business actually works.

The latest Australian evidence

The Australian Bureau of Statistics reported that around 12% of Australian businesses used AI in the workplace during 2024-25. Adoption varied sharply by size: around 35% of large businesses and 22% of medium businesses reported using AI, compared with about 11% of small and micro businesses. Professional, scientific and technical services was among the leading sectors at 24%.

The most revealing result was not simply business size. Innovation-active small businesses recorded materially higher AI adoption than small firms that were not actively innovating: 19% compared with 4%. That suggests AI adoption is connected to a broader management mindset - a willingness to improve products, services and processes - rather than access to a particular chatbot.

Why smaller firms can still move faster

Large businesses have budgets, data teams and procurement power, but they also carry legacy systems, complex approvals and slow change programs. A well-led SME can choose one valuable journey, make decisions quickly and deploy an integrated improvement in weeks. The advantage is focus.

The wrong response is to buy more disconnected subscriptions and hope that staff discover the value. That produces scattered prompts, duplicate data and unclear accountability. The stronger response is to identify where value becomes stuck - enquiry handling, proposal production, onboarding, service delivery, approvals or reporting - and redesign that journey around a single record, clear ownership and bounded automation.

A practical leadership response

  • Choose one customer or operating journey with visible friction and commercial value.
  • Measure the current baseline: elapsed time, staff effort, rework, delay, conversion and client frustration.
  • Decide which data and specialist systems must remain authoritative, then connect them to the workflow.
  • Use AI to prepare, summarise, classify and coordinate; keep human approval where consequences are material.
  • Review results after 30, 60 and 90 days before scaling the pattern.

The strategic question

The question for an SME leader is not, “Are we using AI?” It is, “Have we changed the way the business operates, serves clients and learns?” Businesses that answer the second question well will create the more durable advantage.

Next step

Take the readiness check

Start the Studio Ambira AI-Native Readiness Check to identify the first journey worth redesigning.

Take the readiness check

Sources

Studio Ambira's interpretation is separated from regulator and research findings. Sources checked on .

  1. 1.Australian Bureau of Statistics, Business adoption of Artificial Intelligence accelerates in 2024-25 (25 June 2026)
  2. 2.Productivity Commission, Making the most of the AI opportunity: AI uptake, productivity, and the role of government (2024)

Keep reading

Stay in the loop

Occasional notes on building AI-native businesses — practical, no noise. Unsubscribe any time.