USF St. Petersburg campus Honors Program Theses (Undergraduate)
First Advisor
Thesis Director: Rebecca Harris, Ph.D. Instructor, College of Business
Second Advisor
Thesis Committee Member: Thomas Carter, Ph.D., Professor, College of Business
Publisher
University of South Florida St. Petersburg
Document Type
Thesis
Date Available
2017-09-26
Publication Date
2017
Date Issued
2017-04-25
Abstract
In the past there have been many panics caused by technology that ended positively for the economy and society, but is the current wave of technological unemployment caused by robotics and A.I. different? The purpose of this literary review is to evaluate the current wave of technological unemployment in relation to past cases and determine whether the present situation is another transition between dominant sectors of the economy or the beginning of a permanent form of technological unemployment. The results were that there are many aspects of this instance that differentiate it from past cases of technological unemployment. There are two main factors that set the A.I. revolution apart: the different capabilities of the technology and the unfamiliar economic trends that have been created by the technology. The A.I. revolution may lead to a transition of labor into another sector, but numerous factors indicate that there could be some permanent technological unemployment. Changes in government policy will have to be made to help the global economy transition through the A.I. revolution.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Recommended Citation
Holden, Emily, "Taxes for Robots: Automation and the Future of the Labor Market" (2017). USF St. Petersburg campus Honors Program Theses (Undergraduate).
https://digitalcommons.usf.edu/honorstheses/193
Comments
A thesis submitted in partial fulfillment of the requirements of the University Honors Program University of South Florida St. Petersburg