The businesses getting the best results from AI aren't just investing in better tools. They're investing in their people.
There's a conversation happening in Australian workplaces right now that most leaders aren't having openly enough.
Their teams are already using AI. Not because they were told to, not because there's a policy in place, but because the tools are accessible, the productivity gains are immediate, and people are quietly figuring it out on their own.
EY research published in 2025 found that 68% of Australian workers are already using AI at work. Only 35% have received any formal training. And 72% are worried about whether what they're doing is even allowed.
That's not a technology problem. That's a leadership gap. And it's one of the most significant opportunities in Australian business right now.
The Anxiety Underneath the Adoption
When AI enters a workplace without clear leadership, two things happen simultaneously.
The enthusiastic early adopters start experimenting and finding genuine productivity gains. And everyone else starts wondering what it means for their job, their value, and their future in the organisation.
Both groups are largely left to figure it out without guidance. The result is a fragmented, uneven, and largely unmanaged adoption of technology that has significant implications for how work gets done, how decisions get made, and how information gets handled.
This isn't unique to any one industry or business size. We see it in professional services firms where junior staff are using AI to draft documents without partners knowing. We see it in construction companies where project managers are using AI for reporting while their teams are still working manually. We see it everywhere.
The businesses that get ahead of this are the ones where leadership makes a deliberate choice to bring their people along rather than waiting to see what happens.
What Bringing Your People Along Actually Looks Like
It starts with an honest conversation.
Not a policy announcement. Not a training session on a tool that nobody asked for. An honest conversation about what AI means for the business, what it means for the team, and what the business is going to do to make sure everyone has what they need to thrive in an AI assisted workplace.
That conversation does three things. It acknowledges the anxiety rather than ignoring it. It signals that leadership is paying attention and has a plan. And it creates space for the people in the business who are already using AI quietly to come forward and share what they've learned.
From there, the practical work is about building capability systematically rather than hoping it happens organically.
That means identifying which roles and workflows benefit most from AI, starting with the areas where the productivity gains are clearest and the learning curve is most manageable. It means creating the time and space for people to actually learn and experiment rather than adding AI adoption onto an already full plate. And it means measuring progress honestly so the business knows what's working and what isn't.
The Competitive Advantage Most Businesses Are Missing
Here's what the data shows about the businesses that are getting AI right.
They aren't necessarily the ones with the biggest technology budgets or the most sophisticated tools. They're the ones where people feel confident, supported, and clear on how AI fits into their work.
Kyndryl's 2025 Readiness Report found that the organisations pulling ahead on AI, the ones they call Pacesetters, are distinguished not by their technology choices but by their culture, their investment in upskilling, and their leadership alignment. They are 32 points less likely to cite their technology as a barrier. Not because they have better technology, but because their people know how to use what they have.
That's the advantage most Australian businesses are leaving on the table right now. Not a better tool. A better prepared team.
A Framework for Getting Started
If you want to start building genuine AI capability in your team, here's a practical framework to work from.
Start with awareness. Make sure everyone in the business understands what AI is, what it can and can't do, and what the business's approach to it is going to be. This doesn't need to be complicated. A clear, honest conversation from leadership covers most of it.
Move to capability. Identify the two or three workflows where AI will create the most immediate value and build genuine capability there first. Give people the time, the tools, and the permission to learn properly rather than expecting them to figure it out on the side.
Build confidence through wins. Nothing builds team confidence faster than seeing AI create a real, tangible improvement in their daily work. Start where the wins are clearest and let that momentum carry into the harder and more complex applications.
Create a feedback loop. The people doing the work every day will find applications and opportunities that leadership never anticipated. Build a way for those insights to flow back up so the business keeps learning and adapting as the technology evolves.
Finally, make it ongoing. AI is not a one-off implementation. It's a capability that needs to be continuously developed as the technology evolves and as the business grows. The businesses that treat it as an ongoing practice rather than a project will compound their advantage over time.
The Bottom Line
Your team is not an obstacle to AI adoption. They are your greatest asset in it.
The businesses that recognise this, and invest accordingly, will build advantages that are genuinely hard to replicate. Not because they have access to better technology, but because they have people who know how to use it well, feel confident doing so, and are continuously finding new ways to apply it.
That's what AI readiness actually looks like in practice. And it starts with a decision to bring your people along rather than leaving them to figure it out on their own.
If you're not sure where your business currently stands on that journey, that's exactly the kind of question our AI Automation Audit is designed to answer.