Connect with us

Hi, what are you looking for?

AI Finance

NAB Report: 42% of Australian SMEs Embrace AI, Highest in Property and Finance Sectors

NAB reports that 42% of Australian SMEs adopt AI, with property services leading at 69%, highlighting significant sector disparities and opportunities for growth.

AI adoption among Australian small and medium enterprises (SMEs) shows marked variation across sectors, with property services, finance, and insurance leading the way, according to findings from the National Australia Bank (NAB). Their report, “Embracing AI: Adoption & Key Opportunities Identified by SMEs,” reveals that 42% of Australian SMEs currently utilize AI technology in their operations, while 14% are planning to integrate it. Conversely, 16% of respondents indicated that AI would not be of assistance to their businesses.

Based on survey responses from approximately 670 SMEs in the non-farm sector collected between November 10 and December 9, 2025, the research highlights that over 98% of all Australian businesses are categorized as SMEs. Alarmingly, 44% of SMEs reported not using AI, representing more than 40% of the nation’s total business landscape.

The variance in AI adoption rates is significant across different sectors. The property services sector shows the highest uptake at 69%, closely followed by finance and insurance at 65%, and business services at 61%. In stark contrast, the transport and storage sector exhibited the lowest adoption rate at just 21%. These top three sectors are characterized by high levels of digital maturity and a substantial volume of data, making them well positioned to leverage AI for critical tasks such as forecasting, compliance, risk management, and process automation.

The report highlights that within the finance and insurance sector, the automation of repetitive tasks is viewed as the largest opportunity for AI deployment, identified by 64% of respondents. Furthermore, 35% of those surveyed within this sector indicated that AI could significantly enhance decision-making processes, reflecting a growing confidence in its capabilities for improving forecasting, risk assessment, and operational planning.

On the other hand, sectors like manufacturing and retail demonstrated comparatively lower adoption rates at 35% and 22%, respectively. Notably, retail displayed the highest non-adoption rate, with 64% of respondents indicating they have not integrated AI into their operations. NAB attributes this hesitance to the industry’s tighter profit margins, reliance on legacy systems, and fragmented supply chains, which present additional challenges for AI integration.

Pete Steel, NAB’s group executive for digital, data, and AI, remarked, “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.” He emphasized that sectors with strong digital foundations or established analytical workflows are better positioned to integrate and benefit from AI technologies.

NAB’s findings suggest a broader trend where the operating model, data maturity, and commercial pressures faced by each sector are fundamentally shaping the pathways SMEs are taking in their AI adoption journeys. As the landscape evolves, the report concludes that a clearer understanding of AI’s role could facilitate more strategic decisions across various industries, encouraging a move toward greater efficiency and productivity.

See also
Marcus Chen
Written By

At AIPressa, my work focuses on analyzing how artificial intelligence is redefining business strategies and traditional business models. I've covered everything from AI adoption in Fortune 500 companies to disruptive startups that are changing the rules of the game. My approach: understanding the real impact of AI on profitability, operational efficiency, and competitive advantage, beyond corporate hype. When I'm not writing about digital transformation, I'm probably analyzing financial reports or studying AI implementation cases that truly moved the needle in business.

You May Also Like

AI Business

Red Hat advances enterprise AI with Small Language Models that achieve over 98% validity in structured tasks, prioritizing reliability and data sovereignty.

AI Technology

NextDC faces mounting opposition from West Footscray residents over its M3 datacentre expansion, projected to double in size and consume 225MW, raising environmental concerns.

AI Research

OpenAI's o1 model achieves 81.6% diagnostic accuracy in emergency situations, surpassing human doctors and signaling a major shift in medical practice.

AI Regulation

Korea Venture Investment Corp. unveils AI-driven fund management systems by integrating Nvidia H200 GPUs to enhance efficiency and support unicorn growth.

AI Technology

Apple raises Mac mini starting price to $799 amid AI-driven inventory shortages, eliminating the $599 model in response to surging demand for advanced computing.

AI Research

IBM launches a Chicago Quantum Hub to create 750 AI jobs and expands its MIT partnership to advance quantum computing and AI integration.

AI Government

71% of Australian employees use generative AI daily, but only 36% trust its implementation, highlighting urgent calls for better policy frameworks and safeguards.

AI Regulation

The Academy of Motion Picture Arts and Sciences bars AI performances from Oscar eligibility, emphasizing human-authored content amid rising industry tensions over generative AI's...

© 2025 AIPressa · Part of Buzzora Media · All rights reserved. This website provides general news and educational content for informational purposes only. While we strive for accuracy, we do not guarantee the completeness or reliability of the information presented. The content should not be considered professional advice of any kind. Readers are encouraged to verify facts and consult appropriate experts when needed. We are not responsible for any loss or inconvenience resulting from the use of information on this site. Some images used on this website are generated with artificial intelligence and are illustrative in nature. They may not accurately represent the products, people, or events described in the articles.