The X axis (horizontal) represents 820 (100 per cent) occupations, expressed as an overall percentage.
Those occupations have been broken down into a number of distinct activities based on a list of 2000 activities.
An occupation can share a number of common activities.
For example, data analysis is an activity undertaken by an economist, or a market researcher or a scientist, among others.
The Y axis (vertical) represents the proportion of each occupation that could be automated, based on the activities that make up that role. In other words, its technical automation potential.
As the chart shows, the McKinsey Global Institute study found that while less than 5 per cent of occupations are fully automatable, 60 per cent of all occupations have at least 30 per cent technically automatable activities (McKinsey Global Institute, 2017).
The study also looked at possible technology adoption scenarios. The modelling produced significantly different results.
In the earliest scenario, automation could account for more than 50 per cent of working hours in two-thirds of countries within just 20 years. In the latest scenario, more than half of all countries will have 50 per cent automation or more within 50 years.
These findings reflect uncertainty about the speed of take up of automation technologies across activities and sectors.
Regardless of the speed of adoption, the study concluded that the greatest impact will be experienced in a few advanced economies, especially Germany, Japan, and the United States. These countries have both high wages and industries with high potential for activities to be automated.
In all economies, including New Zealand, the decision when to automate will depend on the costs of integrating technology in the workplace relative to wages.
Other factors which will determine the speed of take up are the impact on production and service quality, and customer acceptance.
World Economic Forum (2016). The future of jobs – employment, skills and workforce strategy for the Fourth Industrial Revolution (PDF 9.60MB). [accessed 06/11/17]
McKinsey Global Institute. (2017). A future that works: automation, employment, and productivity (2017). [accessed 06/11/2017]