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Wednesday, July 13, 2016

A Robot Will Get Your Job If You Make Less Than $20 Per Hour

The US Government Says If You Make Less Than $20 an Hour, a Robot Is Probably Going to take Your Job

Michael J. Coren | July 13, 2016

They promised us jetpacks. But if they arrive in the future, many of us may not be able to afford them.
Jason Furman of the US Council of Economic Advisors gave a speech last week (pdf, p. 5) highlighting the potential for automation to displace today’s jobs, even as it creates new ones. No one knows exactly how many jobs automation will claim. Oxford University researchers guess 47% of U.S. jobs (pdf) are at risk. The OECD, an international economic group, estimates only 9% of jobs are under threat in member nations.

"Visitors to the Hilton Hotel in McLean, Va. meet “Connie,”a robot concierge." Source:

<more at; related articles and links: (The future of jobs in a machine world. March 16, 2016) and (The Risk of Automation for Jobs in OECD Countries. A Comparative Analysis. Melanie Arntz, Terry Gregory, and Ulrich Zierahn. OECD Social, Employment and Migration Working Papers, May 14, 2016. DOI: 10.1787/5jlz9h56dvq7-en. [Abstract: In recent years, there has been a revival of concerns that automation and digitalisation might after all result in a jobless future. The debate has been fuelled by studies for the US and Europe arguing that a substantial share of jobs is at "risk of computerisation". These studies follow an occupation-based approach proposed by Frey and Osborne (2013), i.e. they assume that whole occupations rather than single job-tasks are automated by technology. As we argue, this might lead to an overestimation of job automatibility, as occupations labelled as high-risk occupations often still contain a substantial share of tasks that are hard to automate. Our paper serves two purposes. Firstly, we estimate the job automatibility of jobs for 21 OECD countries based on a task-based approach. In contrast to other studies, we take into account the heterogeneity of workers’ tasks within occupations. Overall, we find that, on average across the 21 OECD countries, 9 % of jobs are automatable. The threat from technological advances thus seems much less pronounced compared to the occupation-based approach. We further find heterogeneities across OECD countries. For instance, while the share of automatable jobs is 6 % in Korea, the corresponding share is 12 % in Austria. Differences between countries may reflect general differences in workplace organisation, differences in previous investments into automation technologies as well as differences in the education of workers across countries.])>

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