The State of AI Adoption in Australia: 2025–2026 Benchmarks, Industry Gaps, and What the Data Reveals product guide

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The State of AI Adoption in Australia: 2025–2026 Benchmarks, Industry Gaps, and What the Data Reveals

There is a version of the Australian AI story that reads like a press release: adoption is surging, productivity is transforming, and the future is arriving faster than anyone expected. Then there is the version the data actually tells — one of uneven progress, a widening gap between intention and execution, and a business community that, in many cases, is running well behind where it believes it stands.

Understanding which version is accurate is not an academic exercise. For any Australian business owner or executive evaluating whether to deploy AI agents, the benchmark data is the foundation. It tells you where your peers actually are, where the genuine gaps exist, and — critically — whether the optimism you may feel about your own readiness is warranted or misplaced. This article synthesises the most authoritative current data sources to give you an honest picture.

What the Primary Data Sources Are — and Why They Matter

Before examining the numbers, it is worth understanding the landscape of evidence. Three primary sources shape Australia's national picture of AI adoption, and each measures something slightly different.

The National AI Centre (NAIC)'s AI Adoption Tracker monitors how SMEs use and view AI. The tracker contains data gathered via Fifth Quadrant, with 400 different businesses responding to survey questions each month.

Monthly trends are explorable through interactive dashboards starting from May 2024, covering how many SMEs are using AI across industries, business size, and location, as well as which types of AI applications SMEs are using, including generative AI assistants and fraud detection.

The Responsible AI Index (RAI Index), developed by Fifth Quadrant and sponsored by the NAIC, is now in its fourth year. It reveals how organisations are progressing across maturity levels and highlights the business benefits of responsible AI, including improved customer experience, productivity, and risk management.

The Index is Australia's national benchmark for responsible AI adoption, tracking how organisations are embedding ethical, safe, and transparent AI practices across five key dimensions: Accountability, Safety, Fairness, Transparency, and Explainability.

The MYOB Bi-Annual Business Monitor provides a third lens, surveying over 1,000 SMEs specifically about tool usage. Together, these three sources allow triangulation across different methodologies and business sizes — which matters enormously, because the headline number you cite depends significantly on which source you are reading.

How Many Australian Businesses Are Actually Using AI?

The honest answer is: it depends on who you ask, how you define "AI," and how large the businesses in your sample are.

Depending on the source and definition, between 29 and 37 per cent of Australian SMEs are using AI tools. MYOB's Bi-Annual Business Monitor (November 2025, surveying 1,087 SMEs) reported 29 per cent usage, while the National AI Centre Adoption Tracker (Fifth Quadrant, 400 SMEs monthly) reported approximately 37 per cent. Broader surveys covering all business sizes report higher figures, with the CSIRO at 68 per cent.

This variance is not a measurement error — it reflects genuine definitional differences. The CSIRO's broader figure includes any form of AI or machine learning integration; the NAIC Tracker is SME-specific; MYOB's figure captures businesses under 200 employees asking specifically about tool usage. For a mid-market Australian business owner, the NAIC Tracker and MYOB figures are the most relevant comparators.

What is clear is the trajectory. The latest AI Adoption Tracker shows that 41% of small and medium enterprises are currently adopting AI — an increase of 5% on the previous quarter. The direction of travel is unambiguous, even if the precise starting point depends on your measurement frame.

The Size Divide Is Significant

Adoption was lower among smaller firms: 72% of medium-sized businesses (20–199 employees), 60% of small businesses (5–19 employees), and 36% of micro businesses (0–4 employees) reported some level of adoption.

Large businesses stand out in two ways. Firstly, they are more likely to report broad AI usage — double the rate of medium-sized firms and more than triple that of micro businesses. Secondly, they have higher rates of AI usage being currently implemented — almost double small businesses and more than five times higher than micro firms.

This size gradient has a compounding effect. Larger organisations not only adopt more, they adopt faster and more broadly — meaning the gap between enterprise and micro-business is not static but widening. Larger organisations continue to lead AI adoption, highlighting an ongoing opportunity to enhance AI literacy and uptake among micro and small enterprises.

The Strategy-Execution Gap: Where Businesses Think They Are vs. Where They Are

The most important finding in the current data is not the adoption rate itself — it is the gap between stated intention and operational reality. This is the number that should concern any business owner who believes their organisation is "AI-ready" without having stress-tested that belief.

The NAIC's new responsible AI dashboard reveals a clear gap between the responsible AI practices that SMEs intend to implement and those they have actually deployed. The gap suggests that while SMEs are committed to responsible AI in principle, many face practical barriers in translating intentions into operational practices — for example, because of limited capacity and competing priorities.

The Responsible AI Index 2025 quantifies the maturity picture precisely. The mean RAI score for 2025 is 43, one point lower than last year. Positively, more organisations are in the Leading and Emerging stages of RAI implementation, while those in the Developing phase have plateaued — suggesting that while AI usage continues to increase, there is still room for improvement in the adoption of responsible AI practices.

The research shows that only 12% of organisations are 'leading' in responsible AI, up 4% from 2024. That means 88% of Australian organisations — including many who describe themselves as "actively using AI" — are operating below the leading threshold on governance, accountability, and safety practices. This is the confidence-implementation gap in numerical form.

The 2025 Index shows that organisations are already realising measurable benefits from responsible AI adoption — however, the findings reveal a concerning confidence–implementation gap.

There is a level of misplaced optimism among the less mature groups when it comes to self-assessed capability. In other words, organisations that score lowest on responsible AI maturity are also the most likely to overestimate their own capability — a pattern that has direct implications for any business conducting a self-directed readiness assessment without external benchmarking. (See our guide on AI Readiness Assessment Tools Compared: Free Australian Government Resources vs. Paid Frameworks vs. Consultant-Led Assessments for guidance on choosing the right approach.)

Adoption by Industry: Who Leads, Who Lags, and Why It Matters

The sector-level data reveals that the national average obscures enormous variation. Knowing the national figure tells you relatively little about where your business sits.

The Leading Sectors

Retail trade and health and education maintain their position as the leading sectors for AI adoption, with services and hospitality close behind.

Customer-facing and technology-driven industries — retail, media and telecommunications, and financial services — lead in responsible AI maturity. Transport and logistics sectors lag furthest behind.

The reasons for retail's leadership are instructive. The sector has high transactional volume, significant existing digital infrastructure, and direct customer-facing use cases (personalisation, inventory, marketing automation) that produce measurable short-term returns. These structural conditions make AI adoption both easier to justify and easier to implement.

The Lagging Sectors

The primary industries — construction, manufacturing, and agriculture — continue to show higher levels of unawareness around the value of adopting AI solutions.

Adoption in the primary industries — such as construction, manufacturing, and agriculture — remains sluggish. Many businesses in these areas report being unaware of the potential value that AI solutions could bring, pointing to a knowledge gap that needs addressing through targeted awareness and capability-building initiatives.

This is not simply a technology problem. Construction and manufacturing face capital-intensive operational environments where AI use cases require significant process documentation and data digitisation before they become viable. Agriculture presents a different challenge: agriculture is the sector where technology adoption has produced measurable productivity outcomes, with the MYOB SME Performance Indicator for Q2 2025 identifying agriculture as the standout sector, with activity growth of 13 per cent — but this productivity is largely driven by automation and sensor technology rather than the AI tools most SME owners are evaluating.

For sector-specific readiness profiles, including the compliance overlays that differentiate healthcare AI from financial services AI, see our guide on AI Readiness by Industry: How Australian Healthcare, Financial Services, Retail, Agriculture, and Professional Services Compare.

A Snapshot Comparison Table

Sources: NAIC AI Adoption Tracker Q1 2025; Responsible AI Index 2025, Fifth Quadrant.

The Geographic Divide: Metro vs. Regional Australia

The national adoption figure also masks a significant geographic gap that is explicitly acknowledged in Australia's policy response.

Current adoption rates show a clear regional–metro divide: only 29% of regional organisations in Australia are adopting AI compared to 40% in metropolitan areas. Regional businesses also have a higher proportion (26%) that are not aware of AI opportunities.

An 11% adoption gap persists between metro and regional areas. This gap is not primarily about attitude or ambition — it reflects structural disadvantages in connectivity, access to AI consultants and talent, and awareness of what tools are available and applicable. Addressing this gap is critical to ensure inclusive growth and equal access to AI benefits, as existing digital divides exacerbate barriers to AI adoption. Notably, around 40% of First Nations people, and one in five Australians broadly, remain digitally excluded — highlighting the urgency of closing these gaps.

The December 2025 National AI Plan explicitly targets this disparity. The National AI Plan 2025 focuses on three national goals: capturing the opportunities, spreading the benefits, and keeping Australians safe — with nine core actions and one of the largest waves of digital investment in Australian history.

For a detailed treatment of the regional gap and what it means for businesses outside major cities, see our guide on Metro vs. Regional AI Readiness: Closing the 11-Point Adoption Gap for Australian Businesses Outside Major Cities.

The Workforce Signal: AI in Job Postings

One of the clearest leading indicators of where AI adoption is heading — rather than where it currently sits — is the labour market. In February 2026, 6.2% of Australian job postings on Indeed mentioned AI in their job descriptions, up from 3.3% a year earlier. After remaining relatively stable throughout 2023 and 2024, references to AI surged in 2025 as Australian employers came to grips with the capabilities and limitations of the available AI tools. Strong growth has continued in early 2026.

Demand for AI-skilled workers has tripled since 2015, underscoring Australia's position as a hub for cutting-edge technology and talent.

Critically, government adoption of AI lags the broader economy, holding true for both federal and state governments. In February 2026, only 2.7% of government job postings mentioned AI in their job descriptions, compared with 6.2% across Australia overall. This suggests government — despite being a major policy driver — is itself not yet modelling the adoption it is advocating.

What Businesses Are Actually Doing With AI

When Australian SMEs do adopt AI, the applications cluster around a predictable set of use cases. The most common applications remain largely consistent across quarters, with data entry and document processing now sharing the top spot with generative AI assistants.

The top three business outcomes SMEs report AI helping achieve are: faster access to accurate data to inform decision making (23%), enhanced engagement and response to marketing activities (20%), and enhanced resource optimisation and productivity (18%).

However, there is a striking disconnect when it comes to revenue. Many businesses feel AI is unlikely to deliver outcomes, particularly around increasing revenue and cashflow — with 42% expressing this view. This perception gap — widespread belief in AI's operational utility but scepticism about its commercial impact — is one of the most consequential attitudes shaping Australian SME adoption decisions. It is also one that the evidence on longer-term adopters challenges directly. (See our guide on ROI of AI Readiness: How to Build the Business Case for AI Investment in an Australian Business.)

The Responsible AI Maturity Gap: Governance Is the Missing Layer

Perhaps the most significant finding across the 2025 data is not about adoption rates at all — it is about the quality of governance accompanying that adoption.

There is a clear RAI maturity gap between smaller medium and enterprise organisations. Organisations with 1,000+ employees are more mature in their RAI journey and have more experience of deploying AI, compared to organisations with 20–99 employees who are markedly less experienced in their use of AI.

Smaller organisations face challenges in deploying resource-intensive RAI practices such as stakeholder impact assessments, cybersecurity reviews, and expert consultations.

This matters enormously for any business considering AI agents specifically — not just generative AI tools. Agentic AI systems that autonomously execute multi-step tasks require a governance layer that most Australian SMEs have not yet built. Interestingly, organisations deploying AI in high-risk contexts, such as recruitment or compliance, are demonstrating stronger governance. High-risk users score higher on maturity compared to very-low risk users and are implementing risk-mitigation strategies at a higher rate — suggesting that when the stakes are higher, organisations are more likely to adopt robust responsible AI practices, which is an encouraging sign that governance frameworks can scale with risk.

For a practical guide to building the governance structures that responsible AI deployment requires, see our guide on Building an AI Governance Framework for Your Australian Business: Policies, Oversight, and Accountability Structures.

Australia's Global Position: Strengths and Structural Gaps

Australia's position in the global AI landscape is stronger than domestic adoption rates alone suggest. Australia ranks highly in AI use by consumers. After adjusting for population size, Australia ranks third globally in the use of Claude, a popular AI tool developed by Anthropic.

Australia attracted $10 billion in data centre investment during 2024, making it the second-largest destination globally that year for this asset class after the United States.

Australia produces 1.9% of the world's AI research publications, far exceeding its share of global population and GDP.

The structural challenge is translating this consumer enthusiasm and research capability into business-level adoption with appropriate governance. While Australian consumers have been quick adopters of AI technology, policy settings have tended toward a cautious 'wait and see' approach to AI, shaped in part by understandable concerns arising from earlier waves of digital technology. These concerns — around privacy, misinformation, and societal impact — are reflected in relatively low public trust and optimism about AI.

Key Takeaways

• Adoption is real but uneven. Between 29–41% of Australian SMEs are using AI tools depending on the source and definition, with the NAIC Adoption Tracker reporting 41% as of mid-2025 — but this masks enormous variation by business size, sector, and geography.
• The confidence-implementation gap is the critical risk. Only 12% of Australian organisations qualify as "leading" on responsible AI maturity, yet many more describe themselves as committed to responsible AI — a mismatch that creates governance exposure as agentic AI deployments scale.
• Sector and size determine your real benchmark. Retail, financial services, and professional services lead adoption; construction, manufacturing, and agriculture lag significantly. Micro-businesses adopt at less than half the rate of medium-sized firms.
• A documented 11-point metro-regional gap exists. Only 29% of regional organisations are adopting AI versus 40% in metropolitan areas — with regional businesses also more likely to be unaware of AI opportunities entirely.
• Governance, not tooling, is the bottleneck. The most consistent finding across the NAIC Tracker, the Responsible AI Index 2025, and the National AI Plan is that Australian businesses — especially SMEs — are adopting AI faster than they are building the governance structures to manage it safely.

Conclusion

The data paints a picture that is simultaneously encouraging and sobering. Australian businesses are adopting AI at an accelerating pace, consumer enthusiasm is among the highest globally, and the infrastructure investment underpinning future capability is substantial. But beneath the headline adoption numbers lies a more complex reality: a significant strategy-execution gap, a governance deficit that grows more consequential as AI systems become more autonomous, and a geographic and sector-based divide that means the national average tells most businesses very little about their actual competitive position.

For any Australian business owner preparing to assess AI readiness, this benchmark data is the essential starting point — not to be reassured by the upward trend, but to locate your organisation honestly within it. The businesses that will capture disproportionate value from AI agents are not necessarily those adopting fastest. They are those adopting with the greatest clarity about where they actually stand.

To move from benchmark awareness to structured readiness assessment, see the pillar page: AI Readiness Assessment: The Definitive Guide for Australian Businesses Preparing for AI Agents, or explore the practical assessment methodology in How to Conduct an AI Readiness Assessment for Your Australian Business: A Step-by-Step Process.

References

• National AI Centre (NAIC) / Department of Industry, Science and Resources. "AI Adoption in Australian Businesses for 2025 Q1." Department of Industry, Science and Resources, March 2026. https://www.industry.gov.au/news/ai-adoption-australian-businesses-2025-q1

• National AI Centre (NAIC) / Department of Industry, Science and Resources. "AI Adoption in Australian Businesses for 2024 Q4." Department of Industry, Science and Resources, 2025. https://www.industry.gov.au/news/ai-adoption-australian-businesses-2024-q4

• Fifth Quadrant / National AI Centre. Australian Responsible AI Index 2025 — Full Report. Fifth Quadrant, 2025. https://www.fifthquadrant.com.au/responsible-ai-index

• Department of Industry, Science and Resources. "Australia's National Benchmark for Responsible AI Adoption Is Now Available." Department of Industry, Science and Resources, August 2025. https://www.industry.gov.au/news/australias-national-benchmark-responsible-ai-adoption-now-available

• Department of Industry, Science and Resources. National AI Plan — Introduction. Australian Government, December 2025. https://www.industry.gov.au/publications/national-ai-plan/introduction

• Department of Industry, Science and Resources. National AI Plan — Spread the Benefits. Australian Government, December 2025. https://www.industry.gov.au/publications/national-ai-plan/spread-benefits

• Indeed Hiring Lab Australia. "Nothing Artificial About Australian AI Adoption: Business and Government Trends." Indeed Hiring Lab, April 2026. https://www.hiringlab.org/au/blog/2026/04/01/nothing-artificial-about-australian-ai-adoption/

• ScaleSuite. "AI Adoption in Australian SMEs 2026: Adoption Rates Are Surging But Where Is the Revenue Proof?" ScaleSuite, 2026. https://www.scalesuite.com.au/resources/ai-adoption-in-australian-smes

• Hegarty, K., McCosker, A., Kennedy, J., Thomas, J., and Parkinson, S. "Australia Is Facing an 'AI Divide', New National Survey Shows." The Conversation, November 2025. https://theconversation.com/australia-is-facing-an-ai-divide-new-national-survey-shows-268194

• OpenAI / Tech Council of Australia. Australia's AI Opportunities Report. OpenAI Economic Blueprint, July 2025. https://cdn.openai.com/global-affairs/61b341bc-56eb-46dc-b356-a621e02cb82d/openai-australia-economic-blueprint-july-2025.pdf

• Hogan Lovells. "Australia's New Guidance for AI Adoption: A Strategic Step Toward Responsible Innovation." Hogan Lovells Publications, October 2025. https://www.hoganlovells.com/en/publications/australias-new-guidance-for-ai-adoption-a-strategic-step-toward-responsible-innovation

• Fifth Quadrant / National AI Centre. Australian Responsible AI Index 2024 — Full Report. Fifth Quadrant, 2024. https://www.fifthquadrant.com.au/responsible-ai-index-2024