Annual rate of change of human labour input in New Zealand
By industry, 1996–2015, % change
| Industry | % change |
|---|---|
| Agriculture, forestry and fishing | -0.4415649447488% |
| Mining | 2.075208196165% |
| Manufacturing | -0.5400310521691% |
| Electricity, gas, water and waste services | 1.523939314435% |
| Construction | 2.812324183385% |
| Wholesale trade | 0.2684488190324% |
| Retail trade | 0.9196298713187% |
| Accommodation and food services | 2.348833186271% |
| Transport, postal and warehousing | 1.081301465383% |
| Information media and telecommunications | 0.2290032793073% |
| Financial and insurance services | 0.8843798669827% |
| Rental, hiring and real estate services | 1.25752995495% |
| Professional, scientific and technical services | 3.360902809688% |
| Administrative and support services | 5.058858702889% |
| Public administration and safety | None |
| Education and training | 2.477514226805% |
| Health care and social assistance | 2.973642491189% |
| Arts and recreation services | 3.138946918338% |
| Other services | 0.8161352860568% |
Definitions
AI (Artificial Intelligence): using neural networks and other algorithms to enable machine learning, deep learning, natural language processing and machine vision.
Limitations of the data
These estimates are intended to illustrate the economic potential of AI but should not be interpreted as forecasts. The Sapere analysis relies on assumptions and has a number of caveats outlined in the final report.
AI applications are in their infancy in New Zealand and, in some cases, in the world. This means that the estimates are subject to a relatively high degree of uncertainty compared to more mature technologies
Data provided by
Dataset name
Digital Nation New Zealand: Economic impact analysis of Artificial Intelligence 2018
How to find the data
This data was supplied to Figure.NZ directly from the organisation who undertook the research.
Import & extraction details
File as imported: Digital Nation New Zealand: Economic impact analysis of Artificial Intelligence 2018
From the dataset Digital Nation New Zealand: Economic impact analysis of Artificial Intelligence 2018, this data was extracted:
- Sheet: model
- Range:
E13:M31 - Provided: 171 data points
This data forms the table Technology - Estimated impact of AI on jobs by industry 2035.
Dataset originally released on:
April 11, 2018
Method of collection/Data provider
Sapere Research Group, an economic consultancy, undertook an analysis of broad potential impacts of Artificial Intelligence technology in New Zealand to calculate estimates of net economic benefits. The estimated impacts show the additional economic activity that could be generated under reasonable uptake of AI in 2035 relative to a baseline scenario of no uptake.