In January 2016, I made a prediction on radio (3AW, Austereo, ABC Overnights) that I’ve been watching closely ever since.

I said that if we didn’t fundamentally rethink what we were teaching children, close to half of the children starting kindergarten that year would be unemployable by 2030. Not because they’d be lazy. Not because they’d lack effort. Because they’d be skilled in the wrong things.

That radio segment is still online. I made the case that our education system was built on what I called the 3Rs, and I didn’t mean Reading, wRiting, and aRithmetic. I meant Rigidity, Uniformity, and Conformity. The hidden curriculum. The one that rewards sitting still, following instruction, producing correct answers in prescribed formats, and not disrupting the process.

Those children are 19 now.

2030 is four years away.

And I want to have an honest conversation about what’s happened in the decade since, and what that means for the future of education in Australia.

What I Was Looking at in 2016

The 2016 prediction wasn’t a hunch. It was a pattern read.

The work landscape was already shifting in ways that should have been obvious earlier. Automation was moving up the skill stack: not just replacing routine manual tasks, but starting to absorb routine cognitive tasks too. Data entry. Processing. Basic research. Template-based writing. The kind of work that had historically given people their first foothold in professional life.

The education system hadn’t caught up. It was still producing graduates excellent at the 3Rs: conforming, sitting within a structure, producing outputs that fit a predetermined rubric. Not because the teachers were failing. Because the institutional architecture was designed for a labour market that no longer quite existed.

What the labour market was starting to need (and what I could see becoming increasingly non-negotiable) were the 3Cs: Collaboration, Creativity, and Communication.

Not soft skills. Strategic capabilities.

Collaboration: the ability to work inside ambiguity with other people, make collective decisions under uncertainty, navigate disagreement without a referee.

Creativity: not artistic creativity, but the capacity to generate options when the obvious answer doesn’t exist or doesn’t fit. To see the edges of a problem rather than just its centre.

Communication: the kind that builds trust across difference, that can translate complex information into human decisions, that knows when to speak and what to leave out.

These aren’t qualities you can standardise into a rubric or measure in a standardised test. Which is precisely why a system built on standardisation and measurement had such difficulty incorporating them.

I said in 2016 that we had about 14 years to make a meaningful shift. That prediction has aged unevenly.

The Intervening Decade: Partial Progress, Major Acceleration

The ten years since have brought genuine and meaningful effort in Australian education, and I don’t want to flatten that. Teachers, educators, policy makers, and school leaders across the country have worked hard to shift the model toward inquiry-based learning, project-based assessment, collaborative problem-solving. The National Curriculum has been revised. Thinking skills have been explicitly framed as an educational priority.

But 2022 changed the trajectory of the problem faster than any of those efforts could absorb.

The arrival of capable generative AI into the mainstream (accessible, free, astonishingly useful for precisely the tasks that secondary and tertiary education had been organised around) compressed the timeline in a way I didn’t fully anticipate in 2016. Not because the underlying argument changed. Because the pace of labour market change accelerated dramatically.

The 3Rs curriculum produced graduates good at producing structured written outputs, synthesising research into prescribed formats, and working within established knowledge frameworks. Those competencies were already under pressure before 2022. After 2022, large language models could perform them at speed, at scale, and at a quality that most graduates couldn’t reliably beat on a time-per-dollar basis.

This isn’t about graduates being replaced by AI. It’s about the credential gap and the experience gap widening simultaneously.

The credential gap: when everyone has a degree that signals competency in AI-assisted tasks, the degree signals less than it used to. Employers know the essays were written with help. They’re not necessarily penalising the help, but they’re asking what else the graduate brings.

The experience gap: when entry-level roles that previously built professional judgment start to narrow or disappear, the graduate who lands a role in 2026 is often being asked to perform at a level of judgment that used to develop over three to five years of apprenticeship-style work. I wrote about this earlier this year: the hidden cost isn’t the jobs that disappeared. It’s the years of developmental experience that disappeared with them.

It’s worth naming what those years actually contained. The junior lawyer who spent two years on document review wasn’t just processing contracts. They were building an eye for risk: the clause that looks standard but isn’t, the obligation that could be waived, the liability the client didn’t notice. The junior engineer doing site measurements wasn’t just taking numbers. They were developing an intuition for the gap between what the plan says and what the ground actually does. The junior consultant whose first analysis came back three times with corrections they couldn’t explain until six months later was building something that can’t be downloaded: the capacity to know when a model is right but the answer is still wrong. AI has absorbed the task. It hasn’t absorbed the developmental moment. In many cases, that moment is simply not happening.

The Ripple Effects of Not Changing Education

This is a Ripple Effects problem. The decision to move slowly (or not move at all) on education reform doesn’t land as a single impact. It cascades.

First order: Graduates enter the workforce with skills misaligned to what the labour market is actually rewarding. They’re competent at the wrong things, and the competencies that matter are either underdeveloped or untested.

Second order: Employers adapt. Hiring thresholds rise. Probationary periods extend. Investment in induction and remedial capability-building increases. A skills gap becomes an operational cost. Simultaneously, the graduates themselves (smart, motivated, well-intentioned) hit a wall they can’t quite name, because no one told them the wall had moved. The anxiety about what they got wrong is real. The answer to it is systemic, not personal.

Third order: The organisations that build their own capability pipelines, that stop waiting for the formal education system to produce what they need and build internal development architectures instead, emerge with a compounding advantage. Not because they found smarter graduates. Because they built the environment that turned graduates into capable professionals. The ones that don’t build those pipelines compete for the same small pool of graduates who already have what they need, driving up wages in a narrow talent band while the broader cohort goes underutilised.

This is already happening. I see it in leadership rooms across Australia. The organisations with strong internal development cultures are less anxious about the talent market than the ones relying purely on external hiring. They’ve absorbed the second-order consequence and responded to it. Everyone else is still responding to the first.

What Those 19-Year-Olds Are Facing

The cohort I spoke about in 2016 is now leaving school or completing their first years of tertiary study. They’re navigating a job market that is simultaneously more competitive and more ambiguous than any cohort before them has faced.

The competition is structural. There are more graduates, more internationally trained applicants, and AI tools that compress the entry-level tasks that would otherwise differentiate a junior hire. The ambiguity is equally structural: the roles that exist now often didn’t exist in the form they now take when these young people chose their field of study.

The ones who are finding their footing aren’t, by and large, the ones who did well at the 3Rs. They’re the ones who developed the 3Cs (often despite the system, through sport, through part-time work, through creative pursuits, through communities and families that gave them practice at navigating ambiguity with other people).

They didn’t get those capacities from formal education. They got them around it.

There’s a compounding factor that doesn’t get named enough: the informal mentorship layer is also contracting. The senior partner who caught the clause you misread. The veteran engineer who knew what the textbook left out because they’d stood on enough sites to feel it. The experienced manager who could read a room in two minutes and debrief you afterwards on what you’d missed. That cohort is moving through retirement at exactly the moment the entry-level role that would have put you in proximity to them is contracting. It’s not one disruption. It’s two, arriving simultaneously.

Some of this cohort are already responding by building portfolio careers and freelance or polyworking paths. It’s a rational response to a shifting ladder. The catch is that those paths require even more of the 3Cs, with even less scaffolding than a traditional entry role would have provided.

That’s not a reason to despair. It’s a reason to design differently.

The Information-Knowledge-Wisdom Problem in Education

I want to use a frame here that I talked about at a small business event in Frankston last month, because it applies directly.

I described three layers: information, knowledge, and wisdom.

Information is what the internet gave us. A flood of it. More than any generation in history has ever had access to. The challenge shifted almost immediately from finding information to filtering it.

Knowledge is what AI now provides with startling efficiency. The stitching together of information into usable synthesis. Ask a question, get a structured answer. The gap between raw information and workable knowledge has collapsed.

Wisdom is what neither the internet nor AI reliably produces. The capacity to know which question to ask. To read the room behind the data. To understand what the correct answer misses about this particular situation with these particular people at this particular moment in time. To act well under uncertainty, not just under known conditions.

The education system we built was optimised for information transfer. Students learn what teachers know, in structures that were designed for information economies.

It hasn’t yet been redesigned for knowledge abundance. And it hasn’t even begun to grapple with the implications of wisdom being the primary human differentiator.

What does an education system that develops wisdom look like? I don’t think anyone has answered this fully. But the shape of it involves ambiguity: situations without right answers. It involves collaboration across difference: people who don’t agree and who can’t appeal to an authority to resolve it. It involves reflection and critique: the capacity to look back at a decision and understand not just what happened but why.

It looks less like sitting still and following instruction, and more like being in a room where the answer isn’t known yet.

What the Prediction Was Actually About

When I made the 2016 prediction, people sometimes heard it as doom. Half of today’s children unemployable. It landed as frightening.

What I was actually saying was conditional. If we keep doing what we’re doing, this is where we’ll arrive. Not because the future is fixed. Because patterns tend to continue unless something interrupts them.

I don’t think half of Australia’s 19-year-olds are unemployable. That’s not what I observe. What I observe is a landscape of wildly uneven preparedness. Some of these young people are extraordinary: adaptive, creative, capable of working with uncertainty in a way that many mid-career professionals have never learned. And some have been served by a system that gave them credentials for competencies that the market has already devalued.

The distribution problem is real. The cost of it isn’t falling evenly.

And 2030 is four years away.

What Changes Now

Four years is not a short time in education. Curriculum design, teacher development, structural change in how assessment works: none of these move fast. Anyone expecting a full system redesign by 2030 is going to be disappointed.

But four years is enough time for some things.

For leaders of organisations: The talent pipeline is not going to be fixed by the time your next major hiring round comes around. Building your own internal development architecture is not optional for organisations that want compounding capability rather than constant rehiring costs. The organisations that are already doing this are building an advantage that isn’t available for sale.

One signal worth watching: employers are already moving in this direction before the education system has. Skills-based hiring, taking someone without the exact degree in favour of demonstrated judgment, broader capability, collaborative capacity, is accelerating. When I talked about this on radio earlier this year, the conversation centred on what the degree is actually signalling now. The market is already asking for the 3Cs. The problem is that the environments where those capabilities historically developed are contracting at the same time. Employers have read the signal. We haven’t yet built the path at scale.

For parents and young people: The 3Cs matter more than the credential right now. The credential still opens doors. But what you do inside those years, whether you build real practice at collaboration, creativity, and communication, or just optimise for the grade, determines whether the degree is the beginning of your professional capability or the ceiling of it.

For educators and school leaders: The system is large and slow, and individual teachers can’t carry this alone. But within the structure that exists, there’s more room for ambiguity-building, for project-based work, for genuine collaboration than the pressure of standardised measurement often allows. Using that room deliberately, even imperfectly, matters.

For anyone in a room where this conversation could happen: The 2030 deadline isn’t abstract. The young people who will either thrive or struggle in that environment are in school right now. The decisions being made about curriculum, about assessment, about what a capable young professional needs to know, those decisions have ripple effects that most of us won’t feel for several years. But they’re already in motion.

The Honest Reckoning

In 2016 I said we had time. That we could see this coming. That the pattern was readable.

I still believe both of those things. The pattern was readable. And we did see it coming. The question I can’t answer cleanly is whether what we did about it, in the ten years since, was proportionate to what we saw.

I don’t think it was. I think we improved gradually in a situation that required improvement at a different speed. And then 2022 arrived and the speed requirement changed again.

That’s not a failure of effort. It’s a failure of urgency. And urgency is a choice.

The 19-year-olds navigating this landscape didn’t choose the system they grew up inside. The adults in the rooms where the decisions are made (in schools, in government, in the organisations that shape what education prepares people for) made those choices. They’ll make more of them in the next four years.

What those choices add up to will determine whether the 2016 prediction lands as a warning that was heeded, or a pattern that continued.

I’m still watching. Still hoping.

And still saying: choose differently.

Choose Forward.

The 2030 window hasn’t closed. Four years is enough time for organisations to build what the system hasn’t yet provided. Enough time for young people to develop what the credential didn’t measure. Enough time for some rooms, in some schools and workplaces and communities, to start practising something that looks more like wisdom than information transfer.

Not enough time for a complete system redesign. Enough time for the choices that compound.

Choose Forward.