Australia · ANZSCO 2544 · 363k working
No — AI is making this work more valuable, not less
The evidence points to AI taking over supporting and administrative load while the core judgement of the role stays human. Practitioners who use the tools well become more productive rather than more replaceable.
AI resilience
Higher means more durable. We never score 100 — no occupation is beyond change.
The window in which the shift should be clearly visible in the day-to-day work — not a prediction of when jobs disappear.
9–12 years until the change should be clearly visible in day-to-day work.
Entry-level exposure
24/100
How much of the risk lands on the first job rather than the experienced one. High numbers mean the ladder's bottom rung is the part under pressure.
This is a deterministic score, not an opinion and not a language model's guess. It combines Australian occupation-exposure data with measured AI capability benchmarks, and every input is versioned — so you can check the workings rather than take our word for it.
Every source behind the number
Knowing the career survives AI is half the question. The other half is whether it fits how you think, what you value and what you are good at. That part takes about fifteen minutes.
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Retraining intensity
11/100
How much new learning the shift demands of someone already in the role. Low numbers mean the existing skill base still carries.
These are the capabilities the current tools handle worst. They hold across every occupation we score, so this list is the same on every career page — we would rather publish one honest finding than manufacture a bespoke list per occupation.
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Would it suit you?
This page says whether the career survives AI. It cannot say whether it fits how you think, what you value and what you are good at.
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A working registered nurse, on what the day actually looks like.
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Choosing between courses, institutions and entry pathways.
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Visa pathways and post-study work rights, if you are coming from overseas.
