AI Job Atlas
AI & jobs · Territory in Australia

Lord Howe Island

Territory
33%
of jobs here are estimated to be exposed to generative AI, below the national 35% (−2.9 pts).
MODEL11th of 11 regions9 exposed workers

Key numbers

PopulationMODEL
≈51
estimated from area
Share of national populationMODEL
0.0%
10th largest of 11
People in workMODEL
26
national total × population share
Highest-exposure jobsMODEL
5.4%
national 6.1%
Area
14 km²
Settlement patternMODEL
Very rural
0% live in major cities
Mapped towns & cities
0
Natural Earth places

AI use

ANTHROPIC

Claude.ai conversations, April–May 2026.

Usage intensityANTHROPIC
1.23×
usage share ÷ population share
Share of national useANTHROPIC
38.2%
0.0% of population
Work-relatedANTHROPIC
43%
national 44%
Automation-styleANTHROPIC
46%
national 46%
Augmentation 54%Automation 46%

Sector mix

MODEL

Estimated share of jobs by sector, against the national mix.

Lord Howe Island Australia
Health & care 15.4%
Construction 11.5%
Retail & wholesale 11.5%
Education 11.5%
Agriculture 7.7%
Manufacturing 7.7%
Hospitality 7.7%
Business services 7.7%
Mining 3.8%
Transport & logistics 3.8%
Public admin 3.8%
Other services 3.8%
Utilities 0.0%
ICT & software 0.0%
Finance 0.0%

Exposed workers by sector

MODEL
Health & care 2 Education 1 Retail & wholesale 1 Business services 1 Hospitality 1 Public admin 0 Manufacturing 0 Construction 0

Ranking in Australia

MODEL

By modelled AI exposure, out of 11 regions.

5Western Australia 34% 6Queensland 34% 7Northern Territory 33% 8Jervis Bay Territory 33% 9Tasmania 33% 10Macquarie Island 33% 11Lord Howe Island 33%
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

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