Just a few years ago, policy-makers became concerned about the prospect of many job-related tasks being automated using advances in robotics and artificial intelligence. In this study, Statistics Canada researchers, Marc Frenette and Kristyn Frank, break new ground, by examining the demographic and employment characteristics of workers facing a high risk of job transformation due...

In 2013, Oxford's University's Carl Benedict Frey and Michael Osborne predicted that 47% of jobs in the United States were at “high risk” of automation over the next 10 to 20 years. The authors of this paper argue that these predictions are not reliable and lack rigour.

This report analyzes more than 3,000 US counties and 315 cities and finds they are on sharply different paths. Automation is not happening in a vacuum, and the health of local economies today will affect their ability to adapt and thrive in the face of the changes that lie ahead.

This paper investigates changes in the task content, methods and tools of European jobs from 1995 to 2015. Drawing on the taxonomy of tasks proposed by Bisello and Fernández-Macías (2016), this work tries to better understand whether changes in the average intensity of tasks performance are the result of changes in the shares of employment...

This report explores the policy choices that AI and robotisation present for the future of labour and puts forward recommendations on addressing these choices. The new digital technologies will have different impacts on jobs in the short and longer term. To grasp the full story, we need to consider the time dimension of the issue.