According to a recent report from the Brookings Institution, the people most in danger of losing their jobs to artificial intelligence are those with the most to offer—higher education—and the most to lose—higher pay.
The study takes a different tack from others that have tried to measure AI's effects on the economy – including earlier studies from Brookings. It uses a process developed by Stanford University researcher and Ph.D. candidate Michael Webb, that analyzes, as Webb puts it, "the overlap between the text of job task descriptions and the text of patents to construct a measure of the exposure of tasks to automation." (See "The Impact of Artificial Intelligence on the Labor market.")
By analyzing different occupations' levels of exposure to AI abilities that are soon to come, a prediction can be made about an occupation's potential for being overtaken by AI.
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