How to compete with robots | Tech Xplore 

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Career automation and which jobs are most at risk from robots 

Roboticists from EPFL and the University of Lausanne have identified which occupations are most vulnerable to automation. They’ve created a mechanism for advising career transfers to less-risky positions that need less retraining. The study’s primary novelty is a new mapping of robot capabilities to work needs. A team of experts at the University of Lausanne has evaluated the probability of a robot doing each existing profession. “Physicists” are least likely to be replaced by machines, while “Slaughterers and Meat Packers” are most likely. 

Employment in food processing, construction and maintenance, and extraction pose the most significant hazards. A team of academics at the University of Edinburgh has built an algorithm that forecasts the likelihood of automation for hundreds of occupations and offers complete career transitions that need little retraining. They simulated hundreds of career changes based on the algorithm’s predictions to see how it might work in real life. Governments might use the approach to determine the number of people in danger of automation and change retraining programs, businesses to assess the costs of further automation and the general population to choose the most straightforward path to repositioning oneself on the labor market. 

Source: https://techxplore.com/news/2022-04-robots.html  

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