AI Job Risk in Australia

Artificial intelligence will transform this labor market in different ways across industries.

Jobs involving repetitive tasks are more likely to be automated, while professions requiring human interaction and physical skills remain more resilient.

What to keep in mind first

Australia is best read as a country where urban service work and strongly field-dependent work sit side by side. If you look only at the speed of AI adoption, it becomes easy to miss the resilience created by regional variation and on-the-ground constraints.

Average AI Risk

42.48 / 100

Jobs Analyzed

204

How to read this page in practice

The notes below explain how to interpret the country score, what kinds of sector mix usually raise or lower it, and what this comparison can and cannot tell you.

How to Read This Country

A better reading of Australia starts with how a large service economy and dispersed field work coexist inside the same labor market. Australia cannot be reduced to a single industrial pattern, so the more useful approach is to look at both the industries that carry weight nationally and the kinds of work that remain tied to location, local conditions, and face-to-face judgment.

What Drives the Score

Australia combines large urban service sectors with resource-related and field-based work spread across a wide geography. Information-heavy and repeatable tasks are easier to automate, but work shaped by distance, local conditions, safety requirements, and real-world coordination tends to change more slowly.

What Holds Up Better

The work that remains strongest here is work that changes with place. In a country where uniform operations are harder to impose across every region, roles built on exception handling, site judgment, and local coordination keep more of their value.

What This Page Does Not Claim

This page shows a national average, not a claim that digital roles in major cities and field roles in remote regions move at the same speed. Read the score together with industry mix, geography, and the gap between centrally organized work and work that stays local.

Jobs Most At Risk from AI

This table is a current snapshot of the jobs that appear on the higher-risk side within this country profile. It is useful as a directional comparison, not as a permanent national ranking.

Rank	Job	Risk Score
1	Data Entry Clerk	81
2	Retail Cashier	78
3	Truck Driver	77
4	Bookkeeper	75
5	Accounting Clerk	74
6	Software Tester	73
7	Receptionist	73
8	Insurance Underwriter	72
9	Civil Drafter	72
10	Data Analyst	72
11	Taxi Driver	71
12	Travel Agent	70
13	Bank Teller	69
14	System Administrator	68
15	Tax Preparer	67
16	Train Operator	67
17	QA Engineer	65
18	Surveying Technician	64
19	Mobile App Developer	64
20	Database Administrator	63

Jobs Safest from AI

This table shows the jobs that currently appear on the lower-risk side within this country profile. Read it as a structural comparison of work, not as a guarantee that these roles will stay unchanged.

Rank	Job	Risk Score
1	Surgeon	10
2	Therapist	11
3	Plumber	11
4	Psychologist	12
5	Electrician	12
6	Paramedic	14
7	Nurse	15
8	Dentist	15
9	Psychiatrist	16
10	School Counselor	16
11	Athletic Coach	16
12	Veterinarian	17
13	Doctor	18
14	Professor	18
15	Social Worker	20
16	Air Traffic Controller	20
17	Fitness Trainer	20
18	Elevator Technician	21
19	Teacher	22
20	Aircraft Mechanic	22

Industry Risk

This table compares the industries that shape the country score today. It is most useful for seeing which parts of the economy pull the average up or down.

Industry	Industry Average Risk Score
Retail	61.5
Finance	58.67
Technology	51.13
Transportation	45.3
Agriculture	42.25
Energy	37.33
Hospitality	35.54
Construction	34.25
Education	31.58
Science	31.22
Healthcare	26.13

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