Transcription of Artificial Intelligence, Automation and Work
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Artificial Intelligence, Automation and Work
NBER WORKING PAPER SERIESARTIFICIAL INTELLIGENCE, Automation AND WORKD aron AcemogluPascual RestrepoWorking Paper 24196 BUREAU OF ECONOMIC RESEARCH1050 Massachusetts AvenueCambridge, MA 02138 January 2018 Prepared for Economics of Artificial Intelligence, edited by Ajay Agarwal, Avi Goldfarb and Joshua Gans. We are grateful to David Autor for useful comments. We gratefully acknowledge financial support from Toulouse Network on Information Technology, Google, Microsoft, IBM and the Sloan Foundation. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic working papers are circulated for discussion and comment purposes. They have not been peer-reviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications.
both automation and the introduction of new tasks (because it makes the complementary skills necessary for the operation of new tasks and technologies more scarce). Yet another major factor to be taken into account is the possibility of excessive au-tomation. We highlight that a variety of factors (ranging from a bias in favor of capital
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