A brand-new website hopes to respond to a question in the minds of numerous individuals– “Will my job be automated?”
If you’re a priest, podiatrist, dentist, or professional photographer, you can anticipate to stay employed, according to the site. If you’re a technical writer, taxi driver, or accounting professional, you may want to start re-training.
Willrobotstakemyjob.com was developed by a designer and graphic designer, Mubashar Iqbal and Dimitar Raykov respectively, who’d read a paper by a pair of Oxford economic experts who set out to predict which tasks were likely to be automated in the future.
Iqbal and Raykov chose to make the results of the paper more accessible.
On the website, users can type an occupation, such as teacher, and choose from a list of associated professions, like teacher assistants (56 percent chance of automation), choreographers (0.4 percent ), or animal trainers (10 percent).
You’re likewise free to see jobs at random. According to the site, stonemasons have an 89 percent chance of being automated.
The website also goes a bit deeper, using additional information on things like predicted growth, median income, and the number of people used in each role as of 2016.
Iqbal and Raykov gathered their information from “The Future of Employment: How susceptible are jobs to computerisation?” a report published in 2013 by Oxford’s Carl Benedikt Frey and Michael A. Osborne.
Although their research seems sound, all predictions contain a margin of error and probably more so with a topic such as this, where the industry and innovation is developing so quickly.
If anything, some believe their predictions may have been too conservative.
The site is entertaining and must not be viewed as the sole source of data on such an essential problem. For one thing, Frey and Osborne considered whether certain tasks would be automated, not whether the whole job would fall to robots.
And, their paper has yet to be peer reviewed. Possibly most importantly, as innovation advances, the facts surrounding automation constantly change.
It’s challenging to say today which tasks will be automated tomorrow, let alone any time in the future.