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Abeliansky, A. L., Algur, E., Bloom, D. E., & Prettner, K.. (2020). The Future of Work: Meeting the Global Challenge of Demographic Change and Automation. International Labour Review, 1–28.
Acemoglu, D., & Restrepo, P.. (2018). Implications of technology for growth, factor shares, and employment. American Economic Review, 108(6), 1488 - 1542.
Acemoglu, D., Lelarge, C., & Restrepo, P.. (2020). Competing with Robots: Firm-Level Evidence from France. Aea Papers And Proceedings, 110, 383–388.
Acemoglu, D. (2000). Technical change, inequality, and the labor market.
Adler, P. (1986). New technologies, new skills. California Management Review, 29, 9–28.
Aggarwal, S. Chand. (2018). Technology, productivity and employment: an empirical analysis of indian industries. Journal Of Business Thought, 9, 1 - 10.
Agrawal, A., Gans, J., & Goldfarb, A.. (2019). How artificial intelligence and machine learning can impact market design (pp. 567 - 586). In (pp. 567 - 586).
Akaev, A., Rudskoi, A., & Devezas, T.. (2018). Digital economy and the models of income distribution in the society. Shs Web Of Conferences, 44, 00005.
Akaev, A., Sarygulov, A., & Sokolov, V.. (2018). Digital economy: backgrounds, main drivers and new challenges. Shs Web Of Conferences, 44, 00006.
AL-Gindy, A. (2018). Artificial Intelligence: A Case Study on Risk Mitigation. International Journal Of Computer Science And Network Security, 18(4), 9-12.
Alkhatib, A., Bernstein, M. S., & Levi, M.. (2017). Examining crowd work and gig work through the historical lens of piecework. In Proceedings of the CHI Conference on Human Factors in Computing Systems (4599-4616). ACM.


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