If you're job searching in New Zealand at the moment, you've probably noticed something: entry-level roles feel scarcer, and the ones that exist ask for things your CV might not cover yet. New research on how AI is reshaping New Zealand workplaces confirms what a lot of job seekers are already sensing — and it points pretty clearly to what you can do about it.
Yes, entry-level hiring really has slowed
This isn't just a feeling. A third of New Zealand companies say they've deliberately slowed entry-level hiring, and 88% expect to pull back further over the next three years. On top of that, 76% of employers say junior staff now get fewer chances to learn on the job — the biggest drop recorded anywhere in the international study — and three-quarters say it's making it harder to grow people into leadership roles at all.
If you've been applying for graduate or junior positions and hearing nothing back, this is a big part of why. It's not necessarily about your application — it's that the number of true "entry point" roles is genuinely shrinking, and the ones that remain come with higher expectations.
What employers actually want now (and it's not a degree)
Here's the most useful finding for anyone job hunting right now: New Zealand employers have largely stopped treating a university degree as the deciding factor. For entry-level roles, 65% say AI tool certifications or coding bootcamp credentials are critical. Problem-solving and critical thinking matter almost as much (61%), and a portfolio of real work comes close behind (59%). Traditional degrees barely register as essential.
In practical terms: if you're competing for a role right now, a relevant certification and a handful of finished projects you can show off will often do more for your application than your degree title. If you haven't built a portfolio yet — even a small one, even self-directed — this is the moment to start. It's a faster, cheaper way to stand out than waiting for another qualification to finish.
Some roles aren't being redesigned — they're disappearing
New Zealand is one of the countries where AI has caused the most outright job elimination, with 53% of employers reporting roles removed completely rather than just changed. That's different from many other countries, where businesses have tended to redesign roles around new tools instead of cutting them.
For job seekers, this means it's worth being honest with yourself about whether the specific role you're targeting is one that's shrinking industry-wide, or one that's evolving. A role built heavily around repetitive or routine knowledge work is more exposed. A role built around judgment, strategic oversight, or managing systems and people is more likely to be reshaped than removed. If you can, steer your search and your skill-building toward the second kind.
Where the real demand — and the real money — is
While entry-level hiring tightens, one part of the market is doing the opposite. Nearly half of New Zealand employers say they can't find enough AI-skilled talent, and they're paying for it: AI specialists are earning an average 21% salary premium over comparable tech roles, plus perks like access to better tools, more interesting project work, and clearer paths to promotion.
You don't need to become a full AI engineer to benefit from this shift. Even foundational, practical AI-tool fluency — the kind you can build through a short course or bootcamp — puts you closer to the in-demand end of the market than a generic application with no AI exposure at all.
A quick reality check before you apply
Two-thirds of New Zealand businesses are actively investing in AI training and reskilling for their own staff, which tells you this is a live priority across the board, not a niche interest. At the same time, most companies admit they're still figuring out AI governance internally — so don't be surprised if workplace expectations around using AI tools on the job are informal or inconsistent. It's a fair thing to ask about at interview stage.
The takeaway
The New Zealand job market isn't closing off to new entrants — it's changing what "qualified" looks like. Fewer roles will hand you on-the-job training by default, so building demonstrable skills and a visible portfolio before you apply matters more than it used to. Target roles built around judgment and systems thinking rather than routine tasks, get comfortable with common AI tools, and let a certification or a project — not just your degree — do the talking on your CV.
