Ask any HR leader in Australia whether they’ve moved to skills-based hiring and the answer is almost always yes. 91% of Australian employers report using skills-based hiring in 2025, putting the country at the front of the global shift away from credential-first screening. 94% of those same employers say skills-based hiring is more predictive of on-the-job success than a traditional CV. (Source: TestGorilla, State of Skills-Based Hiring 2024.)
On paper, the argument is settled. The policy battle is won. So why does hiring still feel exactly the same?
The Say-Do Gap
85% of companies claim to use skills-based hiring. But rigorous analysis of actual hiring patterns found that only 0.14% of hires were genuinely impacted by the removal of degree requirements. (Source: Harvard Business School / The Burning Glass Institute, 2024.)
That is the entire policy producing almost no operational change. Job ads get rewritten. Degree requirements get quietly dropped from the listing. And the actual hiring decision proceeds exactly as it did before, because nothing in the system underneath has changed.
Why the Gap Exists
3 structural failures explain the say-do chasm.
The first is poorly defined signals. Job descriptions ask for leadership, adaptability, or initiative, but give hiring managers no calibrated way to assess any of it. Without a shared definition of what “good” looks like, hiring managers default to the thing they can pattern-match quickly: a familiar university name, a familiar job title, a familiar career shape.
The second is legacy applicant tracking systems. Organisations announce a shift to skills-based hiring, but never touch the ATS filters underneath. Candidates without a named degree or job title keep getting auto-rejected before a human ever sees the application, regardless of what the company’s LinkedIn post said about valuing capability over credentials.
The third is the verification void. Even where a hiring manager genuinely wants to assess capability rather than credentials, there is no standardised, trusted way for a candidate to prove what they can do. Self-reported skills lists are easy to inflate and hard to verify. Faced with that uncertainty, the degree becomes the safer bet again, not because it is a better predictor, but because it is the only signal anyone has agreed to trust.
The intent is there. The policy is there. The operational infrastructure is completely missing.
A Suitability Gap, Not a Talent Gap
This isn’t simply a story about employer behaviour. It runs through the entire labour market.
Australia has 293 occupations out of 1,022 assessed currently sitting in national shortage (Source: Jobs and Skills Australia, 2025). 65% of employers report facing acute skill gaps (Source: AHRI, Q2 2024). And yet 94% of applicants get assessed as not meeting requirements at the screening phase (Source: JSA OSL 2025 Analysis).
Put those numbers side by side and a different story appears. Australia’s shortage isn’t always a lack of people. It is a suitability gap: qualified candidates exist, but they are filtered out before anyone properly assesses what they can actually do. Pumping more degrees into the top of the funnel will not fix a broken filter in the middle.
| All applicants | 27.5 |
|---|---|
| Qualified | 9.3 |
| Suitable | 4.3 |
Source: Jobs and Skills Australia, 2025 Occupation Shortage List, Figure 7. Redrawn by Gradstack, CC BY 4.0 © Commonwealth of Australia.
The same gap shows up acutely in technology. Australia needs 312,000 additional tech workers by 2030, but only 7,000 IT graduates enter the workforce each year (Source: ACS Digital Pulse 2024). Meanwhile only 1% of Australian technology graduates were considered immediately work-ready 2024, down from 3% the year before (Source: AIIA State of the Nation 2024). The macro demand for talent and the micro reality of verified, work-ready capability are moving in opposite directions.
Graduates feel this from the other side of the table. Between 30% and 40% of employed graduates report they are not fully utilising their skills and education in their current job (Source: QILT Graduate Outcomes Survey 2024). 26% percent of 2024 graduates seeking full-time work had not found it four to six months after completing their studies, a five-point drop from the year before, with IT full-time employment falling 6.6% as AI begins to reshape entry-level roles (Source: QILT 2024 / independent analysis by Andrew Norton).
Credentials are losing currency on both sides of the hiring desk at the same time.
The Messy Middle Layer
Picture the labour market as three layers stacked on top of each other.
At the top sits demand: employers, ATS platforms, and hiring managers, with that 91% stated intent to hire on capability and a genuine, desperate need for capable talent. At the bottom sits supply: people coming through university, TAFE, vocational training, bootcamps, career transitions, and informal, self-directed learning, building real capability through every kind of pathway.
In between is a hollow middle layer. There is no structural bridge connecting verified capability on the bottom to capability-matching on the top. No shared language. No trusted verification mechanism. Demand and supply both exist in good faith, and there is still nothing standing between them that can carry a verified signal from one side to the other.
This is precisely the layer Gradstack is built to occupy.
Where Gradstack Fits
Australia already has a foundation for the shared language this market needs. The Jobs and Skills Report 2025 positions the National Skills Taxonomy as essential infrastructure, with the explicit goal of giving Australia a standardised language of skills as the fundamental currency of both learning and hiring. The Australian Skills Guarantee and the Australian Digital Capability Framework are both built to reinforce that same shared standard.
A shared language on its own does not move a single hire. What was missing was the proof engine sitting on top of it: the verification and matching infrastructure that actually makes skills-based hiring real at the point of decision.
That is what Gradstack is.
Through a Digital Human Profile (DHP®), every person’s capability gets verified however it was actually built, whether that is a university degree, TAFE certificate, bootcamp, or self-directed learning. That capability is benchmarked through the Verified Capability Index (VCI®), Australia’s standard for what people can actually do. On top of that sits the Verified Employability Index (VEI®), a composite score across six benchmarks of employment readiness, paired with a personalised action plan and an AI fluency pathway.
On the employer side, this replaces a resume pile with a Workforce Seat®: a VCI®-ranked, pre-verified shortlist matched against the exact requirements of the role. Employers see a candidate’s signal before they see their name.
One line matters more than any other in how Gradstack is built: AI matches signal to opportunity. AI does not screen, score intent, or make the hiring decision. That responsibility stays with humans, all the way through.
From Policy to Practice
Skills-based hiring will not scale through policy announcements or rewritten job descriptions alone. It needs an entirely new architectural layer underneath it: one that can verify capability at the individual level and match it to opportunity at population scale, in real time, across every pathway into the workforce.
The organisations that win the next decade of talent will be the ones that stop relying on proxies and start plugging into the infrastructure of proof.
That infrastructure has a name. It launches in Australia in early 2027.