A new website hopes to answer a question in the mindsof many people — “my work be automated?”
If you are a priest, podiatrist, dentist, or photographer, you can expect to continue to work, according to the site. If you are a technical writer, taxi driver, or accountant, you may want to start with retraining.
Willrobotstakemyjob.com is created by a developer and graphic designer, Mubashar Iqbal and Dimitar Raykov, respectively, whod read an article a couple of Oxford economists whoset out topredict which tasks were most likely to be automated in the future. Iqbal and Raykov decided to the results of the paper more accessible.
On the site, users can type in a profession, such as teacher, and select from a list of related occupations such as teacher assistants (56 percent chanceof automation), choreographers (0.4 percent), or animal trainers (10 percent). You are also free to view jobs in a random order. We did it, and found that the stone masons have a 89 percent chance to be automated.
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The website goes a bit deeper, offering additional information on issues such as expected growth, median salary and the number of employees in each of the role from 2016.
Iqbal and Raykov collected the data from “The Future of Employment: How susceptible are jobs to computerisation?” a report published in 2013 by Oxfords Carl Benedikt Frey and Michael A. Osborne.
“Their methodology seems sound, Iqbal told Digital Trends, “but with all predictions there is always a margin of error, and probably more with a subject like this, where the industry and the technology is moving so fast. If there is something in their forecasts could be too conservative.
The site is entertaining, but should not be seen as the only source of dataon an important issue. For one thing, Frey and Osborne investigated whether certain taskswould be automated, or the entire work would fall to robots. And the paper is not yet peer-reviewed. Perhaps even more important, as technology progresses, the factssurrounding automation are constantly changing. It is difficult to say today that taskswill be automated tomorrow.
“Something like this is not 100% accurate and I don’t think anyone expected, Iqbal admits, “but it helps to identify the trends, and let people see where automation efforts are likely to be focused.”