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Swiss researchers have compiled a rating of professions where people will soon be replaced by robots, as well as an algorithm that will help you find a new job without having to retrain
What’s going on
- Swiss researchers have compiled a ranking of professions that are most at risk of replacing manual labor with automated one. In addition, they proposed a method that will help a person choose a new profession, depending on his skills.
- The researchers studied the Horizon 2020 robotics roadmap in Europe, as well as previous studies and descriptions of existing robots, to understand where the development of robotics really is now. They then compared this to the O*NET database, which has information on more than 1 occupations and the required skills.
- Based on this analysis, scientists compiled a rating in which they determined how much each profession is at risk of full automation. The most risky professions were the butcher and meat packer. Physicists are the least at risk.
- The researchers also proposed a method that will allow people who have lost their jobs to quickly find a new one. To do this, you need to study the skills of various professions in the O * NET database and understand in which other area you can apply your knowledge and skills. Then choose the least risky job in terms of automation risk.
- The researchers say their method could help governments around the world adapt their policies to retrain workers.
What does it mean
Until recently, automation has largely replaced the routine tasks of low-skilled personnel. However, artificial intelligence has developed to such an extent that in the future it can replace the professions of creative and intellectual work, for example, lawyers, journalists, and even engineers.
Along with this, new professions appear. According to a report by the World Economic Forum, by 2025, artificial intelligence and humans will create about 97 million new jobs by 2022. The same trend can be observed in Statista forecasts: in 1,8, artificial intelligence will replace 2,3 million employees worldwide. At the same time, there will be XNUMX million new jobs in in-demand professions such as data journalist, bioethicist, digital linguist and others.