The Effect of Artificial Intelligence on Productivity and Employment, Literature Review Study

Rifki Ambari Duila

doi:10.55927/snimekb.v2i2.6994

Authors

Rifki Ambari Duila STIKes Maluku Husada

DOI:

https://doi.org/10.55927/snimekb.v2i2.6994

Keywords:

Artificial Intelligence, AI, Productivity, Jobs

Abstract

Artificial Intelligence (AI) is predicted to significantly change the world of work and economic productivity. This research aims to analyze the influence of AI on productivity and employment based on a literature review. The research method was carried out qualitatively by collecting 10 indexed international and national journals related to the topic of AI and its impact on the field of work economics. The results of the article review show that the application of AI provides opportunities to increase productivity through automation of processes that were previously manual. However, the widespread adoption of AI has the potential to threaten mid- and low-level employment. Appropriate regulations are needed so that the benefits of AI can be enjoyed by the wider community, while the risk of unemployment can be minimized. The government's role is also important in providing training programs to improve human resource skills. Future research needs to consider empirical data and the specific context of a country/industry to comprehensively understand the impact of AI.

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References

Agrawal, A., Gans, J., & Goldfarb, A. (2018). Prediction Machines: The Simple Economics of Artificial Intelligence. Harvard Business Review Press.

Brynjolfsson, E., & McAfee, A. (2014). The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. W.W. Norton & Company.

Damioli, G., Roy, V. Van, & Vertesy, D. (2021). The impact of artificial intelligence on labor productivity. Eurasian Business Review, February. https://doi.org/10.1007/s40821-020-00172-8

Davenport, T.H. & Ronanki, R. (2018). Artificial Intelligence for the Real World. Harvard Business Review, 96(1), 108-116.

Dan, K., & Kerja, H. (2020). INDONESIA INDUSTRIAL DIGITALIZATION AND ITS IMPACT ON LABOR AND. V(2).

Frey, C.B. & Osborne, M.A. (2017). The future of employment: how susceptible are jobs to computerisation? Technological Forecasting and Social Change, 114, 254-280.

Ozkiziltan, D., & Hassel, A. (2022). Artificial Intelligence at Work : An Overview of the Literature LITERATURE Didem Özkiziltan Anke Hassel Governing Work in the Digital Age Project Working Paper Series 2021-01. May. https://doi.org/10.2139/ssrn.3796746

McKinsey Global Institute. (2018). AI, Automation, and the Future of Work: Ten Things to Solve For. McKinsey & Company.

Radiotherapy, M. (2019). Artificial Intelligence System Reduces Risk of Medication Errors in Children. Cureus, 11(12).

Saumantri, T., & Zikrillah, A. (2020). TEORI SIMULACRA JEAN BAUDRILLARD DALAM DUNIA KOMUNIKASI MEDIA MASSA JEAN BAUDRILLARD ’ S SIMULACRA THEORY. 11(2), 247–260.

Semiotika, A., & Pierce, C. S. (2021). Analisis semiotika charles s. pierce pada poster street harassment karya shirley. 8(1), 25–33.

Sudaryanto, A. P., & Hanny, S. (2023). Manajemen Sumber Daya Manusia Sektor Publik Menghadapi Kemajuan Kecerdasan Buatan ( Artificial Intelligence ). 6(1).

Seshadri, S., Sinha, N., Tu, Y., Vedula, N., & Vedula, N. (2018). How Artificial Intelligence Impacts Organizations and Jobs. Bridge, 48(1), 46-52.

Wilson, H.J., Daugherty, P.R., & Morini-Bianzino, N. (2017). The Jobs That Artificial Intelligence Will Create. MIT Sloan Management Review, 58(4).