AI & jobs · State in Australia
South Australia
35%
of jobs here are estimated to be exposed to generative AI, below the national 35% (−0.4 pts).
MODEL4th of 11 regions343K exposed workers
Key numbers
PopulationWIKIDATA
1.9M
as of 2024
Share of national populationWIKIDATA
6.9%
5th largest of 11
People in workMODEL
978K
national total × population share
Highest-exposure jobsMODEL
6.0%
national 6.1%
Area
985K km²
2 people per km²
Settlement patternMODEL
Mixed
69% live in major cities
Largest city
Adelaide
1.1M (metro)
Mapped towns & cities
25
Natural Earth places
AI use
ANTHROPICClaude.ai conversations, April–May 2026.
Usage intensityANTHROPIC
0.67×
usage share ÷ population share
Share of national useANTHROPIC
4.6%
6.9% of population
Work-relatedANTHROPIC
42%
national 44%
Automation-styleANTHROPIC
47%
national 46%
Augmentation 53%Automation 47%
Sector mix
MODELEstimated share of jobs by sector, against the national mix.
South Australia
Australia
Exposed workers by sector
MODELRanking in Australia
MODELBy modelled AI exposure, out of 11 regions.
About these estimates. No source publishes AI exposure by region for every country. The model splits Australia's real ILO sector employment across regions using population (Wikidata) and density: denser, capital-city regions get more finance, ICT and professional jobs, and rural regions more farming. Totals match national figures. AI usage figures are measured, not modelled. Methodology
Other regions of Australia
- New South Wales 36% exposed
- Victoria 36% exposed
- Queensland 34% exposed
- Western Australia 34% exposed
- Tasmania 33% exposed
- Australian Capital Territory 37% exposed
- Northern Territory 33% exposed
- Jervis Bay Territory 33% exposed
- Lord Howe Island 33% exposed
- Macquarie Island 33% exposed