Aggarwal, S. C. (2018). Technology, productivity and employment: an empirical analysis of indian industries. Journal of Business Thought, 9, 1-10. https://doi.org/10.18311/jbt/2018/21173
Bosio, G., & Cristini, A. (2018). The role of technological progress and structural change in the labour market (G. Bosio, T. Minola, F. Origo, & S. Tomelleri, Eds.; pp. 15-41). Springer International Publishing. https://doi.org/10.1007/978-3-319-90548-8_2
Abdou, S., & Kamal, N. N. (2018). Future of artificial intelligence: Japan’s path to growth. American Journal Of Modern Physics And Application, 5, 48-52. https://www.researchgate.net/publication/326625497_Future_of_Artificial_Intelligence_Japan’s_Path_to_Growth_Email_address
Diamond, A. M. (2018). Robots and computers enhance us more than they replace us. The American Economist, 056943451879267. https://doi.org/10.1177/0569434518792674
Acemoglu, D., & Restrepo, P. (2018). Implications of technology for growth, factor shares, and employment. American Economic Review, 108(6), 1488-1542. https://doi.org/10.1257/aer.20160696
Kuriakose, F., & Iyer, D. (2018). Automation and the future of jobs in India. In Center For The Advanced Study of India. University of Pennsylvania. https://casi.sas.upenn.edu/iit/kuriakoseiyer
Agrawal, A., Gans, J., & Goldfarb, A. (2018). Economic policy for artificial intelligence. In National Bureau of Economic Research (No. 24690). https://econpapers.repec.org/paper/nbrnberwo/24690.htm
Novak, V., & Dizdarevic, D. (2018). The future of work in the light of technological change. UDC: 005.32:005.95/.96. http://media3.novi.economicsandlaw.org/2017/07/Vol23/IJEAL-23-09.pdf
Freeman, R. B. (2018). Ownership when AI robots do more of the work and earn more of the income. Journal of Participation and Employee Ownership, 1(1), 74-95. https://doi.org/10.1108/JPEO-04-2018-0015
Kelley, K. H., Fontanetta, L. M., Heintzman, M., & Pereira, N. (2018). Artificial intelligence: Implications for social inflation and insurance. Risk Management and Insurance Review, 21(3), 373-387. https://doi.org/10.1111/rmir.12111