Examining the effects of automation and AI on unemployment in the United Kingdom: Evaluation from a management approach

Policy Dapo Baderinwa

Article Details

Research Article Volume 19 Issue 01

Examining the effects of automation and AI on unemployment in the United Kingdom: Evaluation from a management approach

Policy Dapo Baderinwa

Published: 02 Nov 2024 Issue:Volume 19 Issue 01 Oct 2024 Author details below

Policy Dapo Baderinwa

Department of Business and Management, University of Bolton, UK

Automation Artificial Intelligence Unemployment Management Strategies Workforce Planning Continuous Learning Policy Interventions Economic Development United Kingdom

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Abstract

Research summary

This article looks at the influence of automation and artificial intelligence (AI) on unemployment in the United Kingdom from a management standpoint. The study seeks to determine the extent to which automation and AI contribute to unemployment and how management methods can offset these consequences. This research is now in its basic phases, with a full literature evaluation and initial data gathering underway. Early findings indicate considerable sectoral disparities in the impact of automation and AI on employment. This work in progress describes the research objectives, suggested methodology, and expected contributions to academic debate and practical management techniques.

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Published 02 Nov 2024

How to Cite

Baderinwa, P. D.. (2024). Examining the effects of automation and AI on unemployment in the United Kingdom: Evaluation from a management approach. Journal of Business and Retail Management Research, Volume 19 Issue 01.

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APA

Baderinwa, P. D.. (2024). Examining the effects of automation and AI on unemployment in the United Kingdom: Evaluation from a management approach. Journal of Business and Retail Management Research, Volume 19 Issue 01.

MLA

Baderinwa, Policy Dapo. "Examining the effects of automation and AI on unemployment in the United Kingdom: Evaluation from a management approach." Journal of Business and Retail Management Research, Volume 19 Issue 01, 2024.

Chicago

Policy Dapo Baderinwa. "Examining the effects of automation and AI on unemployment in the United Kingdom: Evaluation from a management approach." Journal of Business and Retail Management Research Volume 19 Issue 01 (02 Nov 2024).

Harvard

Baderinwa, P. D. (2024) Examining the effects of automation and AI on unemployment in the United Kingdom: Evaluation from a management approach. Journal of Business and Retail Management Research, Volume 19 Issue 01

References

Acemoglu, D. and Restrepo, P., 2020. Robots and Jobs: Evidence from US Labor Markets. Journal of Political Economy, 128(6), pp.2188-2244.
Autor, D.H., 2015. Why Are There Still So Many Jobs? The History and Future of Workplace Automation. Journal of Economic Perspectives, 29(3), pp.3-30.
Bessen, J.E., 2020. AI and Jobs: The Role of Demand. NBER Working Paper, No. 24235.
Brynjolfsson, E. and McAfee, A., 2021. The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. W.W. Norton & Company.
Frey, C.B. and Osborne, M.A., 2017. The Future of Employment: How Susceptible Are Jobs to Computerization? Technological Forecasting and Social Change, 114, pp.254-280.
Manyika, J., Chui, M., Miremadi, M., Bughin, J., George, K., Willmott, P. and Dewhurst, M., 2017. Jobs Lost, Jobs Gained: Workforce Transitions in a Time of Automation. McKinsey Global Institute.
Chui, M., Manyika, J. and Miremadi, M., 2016. Where Machines Could Replace Humans—and Where They Can’t (Yet). McKinsey Quarterly, July.
Autor, D.H. and Salomons, A., 2018. Is Automation Labor Share-Displacing? Productivity Growth, Employment, and the Labor Share. Brookings Papers on Economic Activity, 2018(1), pp.1-63.
Kotter, J.P., 2012. Leading Change. Harvard Business Review Press.
Davenport, T.H. and Kirby, J., 2016. Only Humans Need Apply: Winners and Losers in the Age of Smart Machines. Harper Business.
Kagermann, H., Wahlster, W. and Helbig, J., 2013. Recommendations for Implementing the Strategic Initiative INDUSTRIE 4.0. National Academy of Science and Engineering.
Goldin, C. and Katz, L.F., 2021. The Race between Education and Technology. Harvard University Press.
O'Neil, C., 2016. Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. Crown Publishing Group.
Webb, M., 2020. The Impact of Artificial Intelligence on the Labor Market. Stanford Institute for Human-Centered Artificial Intelligence.
Mokyr, J., 2021. A Culture of Growth: The Origins of the Modern Economy. Princeton University Press.
Acemoglu, D. and Restrepo, P., 2021. Demographics and Automation. Review of Economic Studies, 88(2), pp.648-678.
Manyika, J., Lund, S., Chui, M., Bughin, J., Woetzel, J., Batra, P., Ko, R. and Sanghvi, S., 2020. The Future of Work in Europe: Automation, Workforce Transitions, and the Shifting Geography of Employment. McKinsey Global Institute.