There’s a version of this conversation where we blame the resume.
We don’t. The resume was invented in the 1950s to solve a specific problem: getting a typed summary of your work history to a hiring manager before the interview. Careers were simpler then, jobs were task-specific, and for what it was built for, it did the job fine.
The problem is that we kept using it. For everything. For 70+ years. Long after the jobs changed, after the skills changed, after “experience” stopped meaning what it once meant. And now, with an AI-driven workforce emerging faster than any hiring system can keep up with, it has become genuinely inadequate.
We now live in a world where a 22-year-old can complete an AI engineering bootcamp in four months and be more capable for a role than someone with three years of listed experience backed by a degree. Australia already needs 500% growth in AI-capable workers to meet 2030 demand (Tech Council of Australia, 2024), and 65% of all job skills will change by that same date (Pearson). We’re running a national workforce transition at speed, and we’re still handing out resumes and hoping someone on the other side can figure it out.
They can’t. Not reliably. Not at scale.
What we actually have is a verification problem. Not a new one either. We’ve been watching it grow for over a decade. The resume doesn’t verify anything. It tells a story. Sometimes an honest one. Sometimes an optimised one. It is self-proclaimed and self-assessed. The person reading it has no way to know the difference, so they default to proxies: university name, company name, previous job title, years in service.
None of those show true capability. They’re signals of capability. And they’re degrading fast, because gaming them has become its own industry.
Here’s what’s actually happening in the jobs market right now.
Employers are drowning in applications. The average early careers role in Australia attracts 250+ applicants, many of them AI-generated, keyword-optimised, and indistinguishable from one another. By 2028, Gartner projects that 1 in 4 applicants will be entirely AI-generated: fake profiles, cloned identities, applications submitted at industrial scale. Recruiters already spend less than 6 seconds on each resume, leaving entire piles unseen because they simply cannot sieve through the volume fast enough to find the best match. Meanwhile, 75% of all applications receive zero response (The Interview Guys, 2025). Candidates spend hours tailoring applications they will never hear back from.
That is a truly broken system.
We know what you’re thinking. Hasn’t AI improved this process? Sadly, no. And we will go deeper on exactly why in our next post, but the short version is that AI did not fix the measurement problem. It accelerated it.
The outcome for graduates is invisibility. The outcome for employers is noise. Neither side is getting what they need, and the gap between Australia’s AI workforce demand and its verified supply is widening every quarter.
This is not a recruitment problem. It’s a measurement problem. We don’t have a reliable, portable, verified way to say: here is what this person can actually do.
That’s what we’re building at Gradstack. A national standard for verified capability, not credentials, not keywords, not self-reported experience. What you can actually do, confirmed, attached to a profile you own, carry with you, and grow over your lifetime.
If you work in hiring, HR, or early careers, watch this space. The measurement problem finally has an answer and we are stepping into a world of modern hiring with confidence.