While large Australian businesses are beginning to see success with AI implementation, smaller businesses still struggle to turn artificial intelligence hype into meaningful business results.
Despite growing awareness of tools like ChatGPT and Gemini, a lack of time, resources, technical expertise, and practical guidance continues to hinder AI adoption across the country’s small business sector.
Small and medium-sized businesses make up the majority of Australian businesses, many of which operate with fewer than 10 employees across a variety of industries and typically have significantly limited access to specialized technical staff.
As a result, to the detriment of their organizations, many executives are attempting to navigate the rapidly evolving AI landscape without a clear understanding of how the technology can best support their operations.
SMEC AI is a federally supported AI implementation center established to accelerate automation adoption among small and medium-sized businesses across the country, working with organizations to identify practical implementation opportunities.
According to Andrew Lai, managing director of SMEC AI, the majority of organizations participating in the center are still in the early stages of their AI journey.
“Small businesses are hearing how great AI is. You can’t open a newspaper or join a group chat and see all this. People are saying they can use AI for efficiency and profit,” Lai said.
“Similarly, they are receiving a lot of messages about how AI will take away their jobs, how data centers will destroy the environment, and how they will use too much water and electricity.
“Overall, it created huge hype and mixed messages.”
While some companies are exploring major transformations, such as replacing customer relationship management systems, accounting platforms, and internal workflows with AI-driven alternatives, these organizations remain the exception.
Most small businesses have only experimented with consumer AI tools and are still trying to understand where the technology fits into their business.
This challenge comes at a time when productivity growth remains a major concern for the Australian economy.
Economists and policymakers increasingly point to stagnant productivity as a long-term threat to economic growth and living standards, putting pressure on businesses to find new ways to improve efficiency.
Here, AI offers significant opportunities for organizations, especially through the automation of routine administrative tasks that consume large amounts of employee time.
Many organizations still have staff manually transfer information from documents to business systems, creating inefficiencies and increasing the potential for errors.
Sectors like healthcare continue to devote significant resources to note-taking and transcription, and these tasks can now be rapidly automated using AI-powered tools without sacrificing accuracy.
Business owners are often fascinated by new AI technologies such as AI agents and voice assistants. The reason for this is the excitement surrounding them, but many of these tools are still not mature enough to be seamlessly integrated into daily operations.
If projects fail to deliver immediate value, companies may become disillusioned and conclude that AI itself is ineffective.
For small businesses constrained by lack of resources, the focus should be on identifying practical use cases that save time, reduce costs, and improve productivity. The goal should be to ensure that any investment produces a meaningful return, rather than pursuing the technology itself.
In addition to implementation challenges, the rise of so-called shadow AI is raising new concerns for organizations of all sizes.
SMEC AI regularly encounters workers who rely on personal use of popular LLM or generative AI such as ChatGPT, Claude, Gemini or productivity tool subscriptions to complete tasks, often without formal oversight from their employer.
This can be a difficult balancing act for organizations. While completely restricting access to AI may reduce risks related to data privacy and governance, it may also lead to employees seeking informal alternatives to maintain productivity.
At the same time, there are legitimate concerns about information being uploaded to public AI systems. If employees use consumer tools without proper safeguards in place, sensitive information (such as patient data), intellectual property, or sensitive customer data may be compromised.
SMEC AI has seen incidents in which technology companies and employees inadvertently share sensitive information through AI platforms as an example of how governance failures can quickly cause problems.
Large enterprises typically require a formal AI governance framework, while smaller businesses require a more hands-on approach that focuses on ensuring staff understand and safely operate the tools they are already using.
To fill the knowledge gap, SMEC AI offers free consultation.
Businesses can access an initial 45-minute consultation where an advisor assesses operational challenges and recommends appropriate AI products, platforms, and implementation strategies.
The organization remains vendor-neutral and receives no fees from software providers, allowing it to focus on recommending solutions based on business needs rather than commercial partnerships.
In some cases, we go beyond advisory services and directly assist companies with their implementation projects.
If a company wants to scale a project beyond an early prototype to a production-ready application, SMEC AI may consider commercial arrangements to support large-scale implementation.
The organization also runs the AI Studio Pathfinder program, which aims to help aspiring founders and entrepreneurs develop AI startups focused on solving problems faced by small and medium-sized businesses. More than 500 participants have completed the program to date.
Despite growing interest in artificial intelligence, many small businesses remain overwhelmed by conflicting messages surrounding this technology.
Executives are frequently bombarded with claims that AI will dramatically improve efficiency and transform industries, while also facing warnings about job losses and environmental impacts associated with AI development.
The result is a level of confusion that makes it difficult for business leaders to decide whether to invest, how to proceed, and which opportunities are worth pursuing.
For many small business owners, the priority isn’t building the next multibillion-dollar startup, but simply improving operations, serving customers, and remaining profitable.
In that environment, decisions to deploy AI must be based on actual results, not industry hype.
