Taxing Automation in Africa: Balancing Innovation and Socio-Economic Equality in the Fourth Industrial Revolution

The implementation of artificial intelligence (AI) and robotics is transforming nations worldwide, triggering discussion about their socio-economic impacts and appropriate regulatory responses. While extensively debated in developed economies, this issue remains underexplored in Africa- a region facing unique developmental challenges and opportunities. This systematic review explores the implications of automation, robotics and AI on income inequality, employment and taxation policies, focusing on literature published between 2017 and 2024. For this purpose, as search was carried out in Scopus and Google Scholar databases. A total of 78 papers were found, and after analysing them according to the PRISMA Statement 2020, a total of 36 papers were selected. The review indicates that automation and AI excessively impact low-skilled employees, worsening income disparity, while high-skilled workers benefit from increased salaries. Moreover, analysis indicates that robot taxation and investment in higher education are potential interventions to mitigate these adverse socio-economic effects of technological innovation. The review suggests that government and policymakers should consider tax policies to fund educational institutions to equip citizens with the skills needed in the digital age. The paper offers practical insights for policymakers on robot taxation and labour force and advances understanding by proposing a framework for addressing automation-driven inequality internationally.

Authors

Publication Details

Journal
International Journal of Applied Research in Business and Management
Published
2025-03-08
DOI
https://doi.org/10.51137/wrp.ijarbm.2025.mmtt.45693
Citations
1
Primary Topic
Business Strategies and Innovation
Type
article
Field-Weighted Citation Impact
2.23

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article

Taxing Automation in Africa: Balancing Innovation and Socio-Economic Equality in the Fourth Industrial Revolution

Alexander Oluka, Mziwendoda Cyprian Madwe, Phaswana Frans Mmatli
1 citations
International Journal of Applied Research in Business and Management
Business Strategies and Innovation
2.23
article

Taxing Automation in Africa: Balancing Innovation and Socio-Economic Equality in the Fourth Industrial Revolution

Alexander Oluka, Mziwendoda Cyprian Madwe, Phaswana Frans Mmatli
article en
1 citations

Abstract

The implementation of artificial intelligence (AI) and robotics is transforming nations worldwide, triggering discussion about their socio-economic impacts and appropriate regulatory responses. While extensively debated in developed economies, this issue remains underexplored in Africa- a region facing unique developmental challenges and opportunities. This systematic review explores the implications of automation, robotics and AI on income inequality, employment and taxation policies, focusing on literature published between 2017 and 2024. For this purpose, as search was carried out in Scopus and Google Scholar databases. A total of 78 papers were found, and after analysing them according to the PRISMA Statement 2020, a total of 36 papers were selected. The review indicates that automation and AI excessively impact low-skilled employees, worsening income disparity, while high-skilled workers benefit from increased salaries. Moreover, analysis indicates that robot taxation and investment in higher education are potential interventions to mitigate these adverse socio-economic effects of technological innovation. The review suggests that government and policymakers should consider tax policies to fund educational institutions to equip citizens with the skills needed in the digital age. The paper offers practical insights for policymakers on robot taxation and labour force and advances understanding by proposing a framework for addressing automation-driven inequality internationally.

International Journal of Applied Research in Business and ManagementVol. 6(1)
McGill University, University of Oxford, Massey University, Technische Universiteit Eindhoven, Sichuan University, Asia University, Universidad de Alcalá, Forschungsinstitut zur Zukunft der Arbeit
Openalex Percentile: Top 13%
Business Strategies and Innovation
2.23
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