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...
This second of three reports analysing jobs availability in Western Sydney examines the geographical outcomes of high rates of workforce growth and the decline of manufacturing.
This report analyses key shifts in the Western Sydney labour market in the context of rapid population growth. It positions Western Sydney’s labour force growth and change against 21st century shifts in the region’s economic structure.
Who can log in? The importance of skills for the feasibility of teleworking arrangements across OECD countries
COVID-19 lockdowns have radically changed the working arrangements for millions of workers.The findings in this paper raise important questions with respect to the large numbers of workers for whom telework is not possible at all, and who could find themselves jobless as a consequence of...
Australia has entered a period of reduced COVID-19 restrictions, yet both the health and economic well-being of our communities remain fragile. This research aims to assist policymakers in assessing the risk of employment vulnerability as the impacts of COVID-19 evolve.
The COVID-19 pandemic, which swept across the globe in the early months of 2020, has rapidly accelerated long-standing trends in labour markets and economies around the world. Income inequality, precarious work and the digitisation of the economy are now issues that policymakers must grapple with...
The COVID-19 crisis is having unequal impacts on the labour force with low-paid workers suffering the most.
This report explores how technological change will impact on the future of work. It identifies opportunities to improve the promotion of innovation and good practice across the education system.
The analysis presented in this report demonstrates a new way to identify the kinds of tasks and occupations likely to be affected by AI’s machine learning capabilities, rather than automation’s robotics and software impacts on the economy.