The impact of automation in US cities. (a) The distribution of expected job impact (Em) from automation across US cities using estimates from Frey & Osborne. (Inset) The distribution using alternative estimates. (b) Expected job impact decreases logarithmically with city size using estimates from Frey & Osborne . We provide the line of best fit (slope = − 3.215) with Pearson correlation to demonstrate significance (title). We also provide a Gaussian kernel regression model with its associated 95% confidence interval. (Inset) Decreased expected job impact with increased city size is again observed using alternative estimates (best fit line has slope −1.24, Pearson ρ = − 0.26, pval < 10−7). (c) A map of US metropolitan statistical areas coloured according to expected job impact from automation. Credit: Journal of The Royal Society Interface (2018).
June 11, 2018 (TechXplore) -- A small team of researchers from MIT and Northwestern University's Kellogg School of Management has found evidence that automation will cause more job loss in smaller cities than large cities.
In their paper published in Journal of the Royal Society Interface, the team describes their analysis of prior research to discern which sorts of jobs are most likely to be taken over by machines, and how it might apply to cities.
As technological advances march ever onward, increasing numbers of jobs once held by humans are being taken over by machines or robots -- the automotive industry is a prime example. Robots now play a major role in manufacturing plants. But which sorts of workers need to worry about losing their jobs to robots, and which are relativity safe? That was what the researchers sought to learn.