The researchers — NYU Stern's Rob Seamans, Princeton computer scientist Ed Felten, and the Wharton School of Business' Manav Raj — used a methodology that they actually developed back in 2018, which as noted in that study's abstract, was constructed by "estimating which occupational descriptions [had] changed the most due to advances in AI between 2010 and 2015."
, speaking of the newly-published paper, explaining that such data could then be cross-referenced with information from theto examine the "importance and prevalence" of each of those distinguishable abilities in over 800 currently-human-executed occupations., "which we call AIOE." And basically, the higher the AIOE, the greater the chance that automation takes over your industry.
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