Australia's leaders are being told to lead the world in AI by 2028, and the economic prize is real. But national ambition does not become your advantage automatically; the upside flows to the organisations ready to absorb it.
- The Business Council of Australia has set a national goal of global AI leadership by 2028, on a three-year roadmap with eight policy recommendations.
- The prize is real and counted. The Productivity Commission estimates AI could lift Australia's labour productivity by more than 4% over the next decade, roughly $116 billion in additional economic activity.
- A national number is not a business plan. The Tech Council of Australia and Microsoft put generative AI's potential at $45 billion to $115 billion a year by 2030, but the upside flows to organisations ready to absorb it, not to the country as an average.
- Australia starts from behind on the thing that decides readiness: trust. It ranks last of 47 countries on whether people believe AI's benefits outweigh the risks, with just 30% agreeing.
- The leadership move is to close your own readiness and trust gap now, so your organisation is on the capture side of the national number rather than watching it happen.
The headline crossed your desk again this week: Australia is to be a global leader in artificial intelligence by 2028. You are the one running an actual business inside that ambition, and it produces a peculiar double feeling. Pride, perhaps, that the country is aiming high. And a quieter unease, because you can see the distance between a national target announced at a podium and what your own organisation could realistically execute by Monday. The ambition is national. The execution, as always, is yours.
Here is the honest shape of it. The prize is real, and it has been counted. The Productivity Commission estimates AI could lift Australia's labour productivity by more than 4% over the next decade, worth roughly $116 billion in extra economic activity. But a national number is not a business plan, and it does not arrive evenly. That upside flows to the organisations ready to absorb it, not to the country as an average. And Australia is starting from behind on the one thing that decides readiness: trust. The gap between the 2028 ambition and the ground it stands on is the real story, and closing your part of it is the work.
What is Australia actually aiming for with AI by 2028?
A clear and deliberately bold target. The Business Council of Australia (the association representing the country's largest employers) sets it out in its report Accelerating Australia's AI Agenda: global AI leadership by 2028, on a three-year roadmap, with eight recommendations spanning risk-based regulation, faster data-centre approvals, research consortia, education and a national AI safety institute. "AI is our next big lever for economic growth," says Bran Black, the BCA's chief executive, "and the choices we make now will determine whether we gain a competitive edge or fall behind."
The economics justify the urgency. The Tech Council of Australia and Microsoft estimate generative AI (systems that create text, code, images and analysis from a simple request) could contribute between $45 billion and $115 billion a year to the economy by 2030, equivalent to 2 to 5% of GDP, depending on how quickly the country adopts. Most of that value comes from workforce productivity. The ceiling is high. The open question is who actually reaches it.
Why might the ambition outrun the readiness?
Because leadership is decided at the level of trust and capability, and Australia sits low on both. The University of Melbourne and KPMG's 2025 global study found Australia ranks last of 47 countries on whether people believe AI's benefits outweigh its risks, with just 30% agreeing. That is not a usage problem; plenty of Australians already use AI. It is a trust and literacy problem, which is precisely why Australia ranks last in AI trust even as adoption climbs.
This matters for the target in a concrete way. A workforce that uses AI without trusting or understanding it cannot absorb a 4% productivity uplift; it stalls at the pilot and the value never lands. The national ambition sets a ceiling. Trust sets the floor, and the floor is where most organisations are actually stuck. It is the same reason behind why most organisations fail at AI adoption: the strategy and the tools are rarely the constraint. The human system that has to absorb them is.
Put your organisation on the capture side of the 2028 number
The AI Strategy Session turns a national ambition into a plan you own: the outcomes, the readiness gaps, and the trust and governance that let the productivity actually land, in ninety minutes.
Book your Strategy SessionHow do I put my organisation on the winning side of the number?
By treating the national target as a cue for your own plan, not a substitute for it. The country's ambition will not become your advantage automatically. Build that advantage in this order.
- Translate the target into your outcomes. Turn "AI leadership by 2028" into two or three measurable results your business intends to own by then. A national goal you cannot personalise is just weather.
- Close the trust gap inside your walls first. Literacy and clear guardrails turn nervous users into capable ones, and capable users are what let productivity actually arrive. This is the floor, so build it before the ceiling.
- Redesign the work, rather than only adopting the tool. The Productivity Commission's uplift comes from changing how the work itself flows, not from buying more licences and hoping.
- Govern for confidence. Decide what good and safe look like, so your people act on AI rather than hesitate over it. Certainty is a productivity input. The boards ahead are already asking the sharper questions about readiness.
- Measure your own readiness, not the country's. Benchmark where you stand against where the 2028 story needs you to be, then close that specific gap. National averages will not tell you whether you are ahead.
A national AI target is a ceiling, not a plan. The upside flows to the organisations ready to absorb it, not to the country as an average.
What does this change for me as a leader this quarter?
It turns the 2028 headline into a mirror. The honest question it asks is not whether Australia can lead, but whether your organisation is on the capture side of that story or the watching side. That is decided now, in the ordinary quarters before the roadmap matures, by whether you close your own readiness and trust gap while the national scaffolding is still going up.
The prize has been quantified, the ambition has been declared, and the policy will follow at its own pace. None of that reaches your results on its own. Ambition is free; readiness is the work. The organisations that will look like leaders in 2028 are simply the ones building the trust, the literacy and the redesigned workflows this year, quietly, while the target is still a headline. That build is yours to start, and the best quarter to start it is this one.
| Source | Finding relevant to Australia's AI ambition |
|---|---|
| Productivity Commission (2025) | AI could lift Australia's labour productivity by more than 4% over the next decade, roughly $116 billion in additional economic activity |
| Tech Council of Australia & Microsoft | Generative AI could contribute $45 billion to $115 billion a year by 2030 (2 to 5% of GDP), most of it from workforce productivity |
| Business Council of Australia (2025) | Sets a goal of global AI leadership by 2028 via a three-year roadmap and eight policy recommendations |
| University of Melbourne & KPMG (2025) | Australia ranks last of 47 countries on whether AI's benefits outweigh the risks, with just 30% agreeing |
Frequently asked questions
What is Australia's AI target for 2028?
How big is the AI economic opportunity for Australia?
What holds Australian organisations back from capturing the opportunity?
- Business Council of Australia, Accelerating Australia's AI Agenda, 2025
- Productivity Commission, Making the Most of the AI Opportunity: Research Paper 1, 2025
- Tech Council of Australia & Microsoft, Australia's Generative AI Opportunity
- University of Melbourne & KPMG, Trust in AI: Global Insights 2025
About the author
British technology futurist, AI keynote speaker and advisor. Thirty years across enterprise technology and AI strategy, helping leaders navigate the future of work. The futurist who died.