Automation, Education, Unemployment: A Scenario Analysis
DOI:
https://doi.org/10.12775/SPI.2017.1.001Keywords
technological unemployment, automated society, universal basic income, humanities education, social workAbstract
The article proposes a short term scenario analysis concerning the possible relations between automation, education, and unemployment. According to the author, the scenario analysis elaborated by the McKinsey Global Institute in 2013 underestimates the problem of technological unemployment and proposes an education model which is inadequate to face the challenges of 21st century disruptive technologies. New technological advances—as the automation of knowledge work—will also affect the jobs of highly educated workers. Therefore, policy makers will not avert the scenario of massive unemployment only by extending the study of math, science, and engineering. A better solution could be the establishment of a universal basic income, and the elaboration of an education model capable of stimulating creativity and the sense of belonging to a community.
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