AI & jobs · Unitary Authority in New Zealand
Tasman
31%
of jobs here are estimated to be exposed to generative AI, below the national 36% (−5.1 pts).
MODEL23rd of 24 regions10.1K exposed workers
Key numbers
PopulationWIKIDATA
59.9K
as of 2025
Share of national populationWIKIDATA
1.1%
12th largest of 24
People in workMODEL
32.3K
national total × population share
Highest-exposure jobsMODEL
5.7%
national 7.0%
Area
9,632 km²
6 people per km²
Settlement patternMODEL
Very rural
0% live in major cities
Mapped towns & cities
0
Natural Earth places
AI use
The Anthropic Economic Index does not publish usage for this region. Regions below a minimum number of sampled conversations are left out.
Sector mix
MODELEstimated share of jobs by sector, against the national mix.
Tasman
New Zealand
Exposed workers by sector
MODELRanking in New Zealand
MODELBy modelled AI exposure, out of 24 regions.
About these estimates. No source publishes AI exposure by region for every country. The model splits New Zealand'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 New Zealand
- Auckland 38% exposed
- Canterbury 36% exposed
- Wellington 38% exposed
- Waikato 35% exposed
- Bay of Plenty 36% exposed
- Manawatū-Whanganui 36% exposed
- Otago 36% exposed
- Northland 34% exposed
- Hawke's Bay 36% exposed
- Taranaki 35% exposed
- Southland 35% exposed
- Gisborne 36% exposed
- Nelson 37% exposed
- Marlborough 36% exposed
- West Coast 35% exposed
- Auckland Islands 31% exposed
- Campbell Islands 31% exposed
- Antipodes Islands 31% exposed
- Kermadec Islands 31% exposed
- Chatham Islands 34% exposed
- Snares Islands 31% exposed
- Three Kings Islands 31% exposed
- Tokelau 31% exposed