AutorIn 1: | ||
Webb, Michael | ||
HerausgeberIn 1: | ||
Stanford University | ||
Titel: | ||
The Impact of Artificial Intelligence on the Labor Market | ||
Jahr: | ||
2020 | ||
Abstract: | ||
"(...) I develop a new method to predict the impacts of any technology on occupations. I use 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. I first apply the method to historical cases such as software and industrial robots. I establish that
occupations I measure as highly exposed to previous automation technologies saw declines in employment and
wages over the relevant periods. I use the fitted parameters from the case studies to predict the impacts of artificial
intelligence. I find that, in contrast to software and robots, AI is directed at high-skilled tasks. Under the assumption
that historical patterns of long-run substitution will continue, I estimate that AI will reduce 90:10 wage inequality,
but will not affect the top 1%. (...)" [artificial intelligence, robotics, technology, patents, occupations, KI, Künstliche Intelligenz, Technologisierung, Digitalisierung, Automatisierung, IKT, Informations- und Kommunikationstechnologien, Arbeitswelt, Arbeitsforschung, Arbeitssoziologie, Arbeitsbedingungen, Arbeitsorganisation, Personalwirtschaft, Human Resources, Datenschutz, Datensicherheit, Security, Safety, Personalwirtschaft, Berufsbildungsforschung, Qualifikationen, Qualifikationsbedarfe, Berufssoziologie, Robotik, Informatik] | ||
Download: hier klicken (PDF 1,01 MB) | |