While large Australian enterprises are starting to deliver success from the adoption of AI, small and medium-sized businesses are still struggling to turn artificial intelligence hype into meaningful business outcomes.
A lack of time, resources, technical expertise and practical guidance continues to hold back AI adoption across the nation's small business sector despite growing awareness of tools such as ChatGPT and Gemini.
SMEs account for the vast majority of Australian businesses, yet most operate with fewer than ten employees, across many different industries, usually with significantly limited access to specialist technology staff.
As a result, to the detriment of their organisation, many business owners are attempting to navigate the rapidly evolving AI landscape without a clear understanding of how the technology can best support their operations.
SMEC AI, a federal government-backed AI adoption centre established to help accelerate uptake of automation for small and medium businesses across the country, works with organisations to identify opportunities for practical implementation.
The majority of organisations engaging with the centre are still in the early stages of their AI journey, according to Andrew Lai, Managing Director at SMEC AI.
"SMEs are hearing how great AI is. You can't open a newspaper or get on to the group chat and not see all these things, people saying that it can be utilised for efficiency and gains," Lai said.
"On the same note, they're getting a lot of messaging about how AI is going to steal their jobs, how data centres are destroying the environment, and using too much water and electricity.
"Overall, it's created huge hype and mixed messages."
While some businesses are exploring major transformations, including replacing customer relationship management systems, accounting platforms and internal workflows with AI-driven alternatives, these organisations remain the exception.
Most SMEs have only experimented with consumer AI tools and are still trying to understand where the technology fits within their business.
The challenge comes at a time when productivity growth remains a major concern for Australia's economy.
Economists and policymakers have increasingly pointed to stagnant productivity as a long-term threat to economic growth and living standards, placing pressure on businesses to find new ways of improving efficiency.
This is where AI offers a significant opportunity for organisations, particularly through automation of routine administrative tasks that consume large amounts of employee time.
Many organisations still rely on staff to manually transfer information from documents into business systems, creating inefficiencies and increasing the likelihood of errors.
Sectors such as healthcare continue to devote substantial resources to note-taking and transcription, tasks that can now be quickly automated using AI-powered tools, without sacrificing accuracy.
Business owners are often attracted to emerging AI technologies, such as AI agents and voice assistants, because of the excitement surrounding them, but many of these tools are not yet mature enough to integrate seamlessly into day-to-day operations.
When projects fail to deliver immediate value, businesses can become disillusioned and conclude that AI itself is ineffective.
For SMEs constrained by a lack of resources, the emphasis should instead be on identifying practical use cases that save time, reduce costs or increase productivity. The goal should be to ensure any investment generates a meaningful return rather than pursuing technology for its own sake.
Alongside implementation challenges, the rise of so-called shadow AI is creating new concerns for organisations of all sizes.
SMEC AI regularly encounters workers who rely on personal use of common LLMs and generative AI such as ChatGPT, Claude, Gemini or productivity tool subscriptions to complete tasks, often without formal oversight from their employer.
This presents a difficult balancing act for organisations: restricting access to AI entirely may reduce risks associated with data privacy and governance, but it can also encourage employees to seek unofficial alternatives in order to maintain productivity.
At the same time, there are legitimate concerns about the information being uploaded into public AI systems. Sensitive information (such as patient data), intellectual property or confidential customer data may be exposed if employees use consumer-grade tools without appropriate safeguards.
SMEC AI has seen incidents involving technology companies and employees inadvertently sharing sensitive information through AI platforms as examples of how quickly governance failures can create problems.
While larger enterprises typically require formal AI governance frameworks, smaller businesses need a more practical approach focused on understanding what tools staff are already using and ensuring they can operate safely.
To help bridge the knowledge gap, SMEC AI provides free consultations.
Businesses can access an initial 45-minute consultation where advisers assess operational challenges and recommend suitable AI products, platforms or implementation strategies.
The organisation remains vendor-neutral and does not receive commissions from software providers, allowing it to focus on recommending solutions based on business needs rather than commercial partnerships.
In some cases, it will go beyond advisory services and directly assist businesses with implementation projects.
Where businesses wish to scale projects beyond early-stage prototypes into production-ready applications, SMEC AI may then explore commercial arrangements to support larger deployments.
The organisation also runs the AI Studio Pathfinder program, designed to help aspiring founders and entrepreneurs develop AI startups focused on solving problems faced by small businesses. More than 500 participants have completed the program to date.
Despite growing interest in artificial intelligence, many SMEs remain overwhelmed by conflicting messages surrounding the technology.
Business owners are frequently exposed to claims that AI will dramatically increase efficiency and transform industries, while being confronted by warnings about job losses, and environmental impacts associated with AI development.
The result is a level of confusion that can make it difficult for business leaders to determine whether they should invest, how they should proceed and which opportunities are worth pursuing.
For many small business operators, the priority is not building the next billion-dollar startup but simply improving operations, serving customers and maintaining profitability.
In that environment, AI adoption decisions need to be grounded in practical outcomes, not industry hype.