ISCO 5322 · O*NET 31-1120.00 · codes unverified
Aged care worker
One of the fastest-growing occupations in most of the countries in the register, and one of the least exposed. Both facts are usually reported separately.
The shape of the work holds. The admin around it thins out considerably.
Scale, labels and thresholds are provisional. This is open question Q-02.
5 of 20 in the launch set
How the score is made
Four declared inputs, never collapsed into one number. Assistance is kept apart from outright automation, because a tool that makes you faster and a tool that replaces you are not the same event. Physical work counts as shelter only to the extent robotics cannot reach it.
The full method is written out, including what it cannot tell you.
Note on this occupation Placeholder values. Worth reading beside the essay's argument: a high resilience score and low pay frequently occur together, and this site scores exposure, not reward.
- Assisted
- 34
- Done outright
- 12
- Physical
- 88
- Robotics reach
- 20
Higher is generally good news. It means more of the work gets faster without the work going away.
This is the number most people mean when they say exposure. It is kept separate from assistance on purpose.
Protective only for as long as robotics cannot reach it. Read this one next to the robotics number, never alone.
Low reach turns physical work into shelter. High reach turns it into the main exposure.
placeholder Working Paper 140, Generative AI and Jobs 2025 index O*NET 31.0 Global Automation Atlas 2026 release data 0.1-placeholder
What changes
Tasks moving to machines, in whole or in part.
- Care records, rostering and compliance documentation.
- Monitoring and alerting.
- Medication reminders and scheduling.
What stays human
Tasks that need a person, and why.
- Physical care of another person's body, with dignity.
- Noticing decline before it is measurable.
- Being the person who turns up, which for some clients is the entire service.
What's new
Work that did not exist in this job ten years ago.
- Remote monitoring between visits.
- Assistive lifting and mobility equipment.
- Caseloads made possible, and demanded, by better scheduling.
These three lists are editorial commentary, written against task-level data but not generated from it (OCC-05). Treat them as the author's reading, not as output.
Compare with another job
Pick one. You get a card with both scores, both sets of components, and a link worth sending to someone.
- Hairdresser 84
- Plumber 82
- Primary school teacher 79
- Electrician 79
- General practitioner 73
- Registered nurse 72
- Chef 69
- Fashion designer 65
- Civil engineer 59
- Product designer 55
- Software developer 44
- Graphic designer 43
- Heavy truck driver 34
- Data analyst 32
- Paralegal 31
- Accountant 28
- Copywriter 24
- Bank teller 13
- Customer service representative 12
Sources used on this page
- Working Paper 140, Generative AI and Jobs
International Labour Organization · 2025 index · Confirm
- O*NET
US Department of Labor · 31.0 · CC BY 4.0
- Global Automation Atlas
Global Automation Atlas · 2026 release · Confirm