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The Impact of Artificial Intelligence on Employment: Evidence in Africa

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  • Frederick Forkuo Yeboah

    (School of Graduate Studies, Valley View University, Accra, Ghana)

Abstract

The purpose of this research paper is to examine the effect of artificial intelligence on employment in Africa. To accomplish this, the study employs a convenience sampling technique across 42 countries out of 54 African countries from 2012 to 2021 and utilizes a two-step system known as the Generalized Method of Moments (GMM) to estimate the impact of artificial intelligence on employment. In the course of the research, two models are specified to determine the influence of artificial intelligence on employment and examine its impact in the absence of a human development index. To analyze the research data, descriptive statistics and regression analysis are employed. The findings suggest that artificial intelligence has a strong positive impact on employment, while revenue demonstrates a moderate positive effect. On the other hand, political stability appears to have a negative impact. The paper makes a valuable and timely contribution to the existing literature on the subject of artificial intelligence’s impact on employment in Africa. The paper concludes by providing suggestions on how to effectively harness AI’s creative effects to counteract its negative consequences and utilize AI to reduce corruption and create sustainable employment for African economies.

Suggested Citation

  • Frederick Forkuo Yeboah, 2023. "The Impact of Artificial Intelligence on Employment: Evidence in Africa," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 7(4), pages 1027-1041, April.
    • Handle: RePEc:bcp:journl:v:7:y:2023:i:4:p:1027-1041
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    References listed on IDEAS

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