AMS
Forschungsnetzwerk

 
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]
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