When you look at the occupations most exposed to AI in Australia, a pattern jumps out fast. The roles with the highest AI risk scores are overwhelmingly filled by women. And the roles with the lowest scores — the ones AI is least likely to touch — are overwhelmingly filled by men.
This isn't speculation. It's what the numbers show across 358 Australian occupations.
The Numbers
We scored every occupation using data from Jobs and Skills Australia and the Australian Bureau of Statistics. When we combine those AI exposure scores with ABS gender breakdowns, the picture is clear.
62% of workers in high AI risk occupations are women. In low AI risk occupations, that drops to just 32%.
Put another way: if you work in an occupation with an AI risk score of 6 or above (out of 10), there's nearly a two-in-one chance you're a woman. If you work in one scoring 3 or below, there's a two-in-three chance you're a man.
Across the entire workforce, women carry a weighted average AI exposure score of 4.8 out of 10, compared to 4.3 for men. That gap might look small until you see where the extremes are.
The Most Exposed Roles
Eight of the ten highest-risk occupations in Australia are majority-female. Here's what that looks like:
| Occupation | AI Score | % Female | Workers |
|---|---|---|---|
| Keyboard Operators | 8.0 | 75% | 53,100 |
| Human Resource Clerks | 7.5 | 77% | 23,200 |
| Accounting Clerks | 7.2 | 80% | 143,500 |
| Bookkeepers | 7.1 | 89% | 90,400 |
| General Clerks | 7.0 | 81% | 286,600 |
| Payroll Clerks | 6.9 | 84% | 49,500 |
| Secretaries | 6.8 | 94% | 29,200 |
| Receptionists | 6.6 | 89% | 182,600 |
| Personal Assistants | 6.5 | 97% | 49,700 |
General clerks alone account for 286,600 workers — 81% of them women. Accounting clerks add another 143,500, with 80% female. Receptionists, at 182,600 workers and 89% female, carry an AI score of 6.6.
Add it up: roughly 1.4 million women work in occupations scoring 6 or higher for AI exposure. Around 850,000 men do.
The Safest Roles Tell the Same Story in Reverse
Now look at the other end. The occupations with the lowest AI risk scores are dominated by men, often with female representation in single digits:
| Occupation | AI Score | % Female | Workers |
|---|---|---|---|
| Concreters | 1.9 | 3% | 43,200 |
| Panelbeaters | 2.0 | 0% | 11,100 |
| Building and Plumbing Labourers | 2.0 | 5% | 71,500 |
| Structural Steel Workers | 2.0 | 3% | 26,100 |
| Plasterers | 2.2 | 2% | 30,500 |
| Roof Tilers | 2.2 | 2% | 9,700 |
| Painting Trades Workers | 2.3 | 8% | 48,300 |
There are 52 male-majority occupations in the low AI risk zone. Only 13 female-majority occupations sit there.
The trades, construction, and physical labour roles that AI struggles to automate are the same roles where women make up a tiny fraction of the workforce. That's the core of the gap.
Why the Pattern Exists
This isn't about AI targeting women. It's about what AI is good at — and who does the work that matches those capabilities.
AI excels at processing text, handling data, managing schedules, answering queries, and following structured workflows. That describes clerical, administrative, and office support work. In Australia, women hold the vast majority of these roles. The JSA Generative AI Capacity Study confirmed this: roles "typically dominated by women" — administrative and clerical jobs, junior support roles in content creation and communications — face greater automation exposure.
AI is much weaker at physical tasks, spatial reasoning, working in unpredictable environments, and operating heavy machinery. That describes trades and construction, which are 90%+ male in Australia.
The International Labour Organisation found that in high-income countries like Australia, 9.6% of women's jobs face high automation risk compared to 3.5% of men's. Research from GovAI and Brookings estimated that 86% of the most vulnerable workers globally are women.
The Double Bind
The problem compounds itself. Many of the administrative and clerical roles flagged as high risk have been critical pathways for women entering professional industries. The tech sector is a clear example: women comprise just 29% of Australia's tech workforce, and graduate recruitment in tech dropped 50% between 2019 and 2024.
Women's Agenda described it as "pipeline compression" — the entry points that allowed women to build careers in industries like finance, legal, and professional services are the very roles being reshaped by AI.
That doesn't mean these jobs disappear overnight. The JSA study found AI is more likely to augment work than replace it entirely, with 55% of tasks able to be performed by people using AI, and only 15% fully replaceable. But augmentation still changes what the work looks like, what skills it requires, and how many people are needed.
What the Data Suggests
This gap won't close by itself. The occupational segregation driving it has been decades in the making.
From 2026, the Workplace Gender Equality Agency requires Australian organisations with 500 or more employees to set formal targets from a legislated menu — a shift that could push employers to think about where women sit in their workforce relative to automation risk.
Some of the occupations on the high-risk list are also seeing demand shifts. General clerks and accounting clerks aren't in shortage, meaning there's less labour market pressure to retain headcount as AI absorbs tasks. Meanwhile, industries like construction and healthcare — where AI risk is lower — are projecting growth of 14% or more and reporting severe worker shortages.
The data doesn't say women should leave their current roles. It says the distribution of AI risk across Australia's workforce is uneven, and gender is one of the clearest fault lines.
Check Your Own Occupation
Every one of the 358 occupations on this site includes an AI exposure score, employment data, shortage rating, and gender breakdown. You can check your occupation's risk, browse the full rankings, or compare occupations side by side with the compare tool.
The numbers won't tell you what to do. But they'll show you where you stand.