AI Technology in African Enterprise Management: A New Engine for Leapfrog Development

Author

Zhenyu Yang * 1

1 Luanda International School

Corresponding Author

Zhenyu Yang

Keywords

African Enterprise Management, Artificial Intelligence, Digital Transformation, Leapfrog Development, Smart Economy

Abstract

Africa is engaging more with technology and artificial intelligence (AI) and is no longer playing catch-up to the rest of the world in terms of technology and innovation. This paper examines how companies in Africa are employing AI to generate new sources of value through local enterprises. The findings demonstrate that the time-to-market of financial products can be reduced by up to 50 percent with AI and other operational efficiencies can be accumulated. Moreover, this research analysed the most significant barriers for companies across all eight sectors identified in adopting AI sustainably (i.e., infrastructure shortcomings, talent shortage, regulation-related challenges). The study demonstrates that the value or economic effects of AI could generate in the range of $100 billion per year; nonetheless, it suggests that realizing this value is not simply a matter of doing 'more of the same' (e.g., developing 'one-size-fits-all' Western solutions), but necessitates 'localised' adaptations for specific regions and countries. In the final section, recommendations for policymakers regarding cross-border data governance, and for investors to develop computationally efficient infrastructure based on renewable energy sources that will bridge the digital divide and enable smart economies are put forth. The research results of this article provide a basis for understanding how AI promotes enterprise development.

Citation

Zhenyu Yang. AI Technology in African Enterprise Management: A New Engine for Leapfrog Development. AEMPS (2026) Vol. 256: 1-7. DOI: 10.54254/2754-1169/2026.32130.

References

[1]: McKinsey & Company. (2025). Leading, not lagging: Africa's gen AI opportunity. McKinsey Global Institute.

[2]: Arakpogun, E. O., Elsahn, Z., Olan, F., & Elsahn, F. (2021). Artificial Intelligence in Africa: Challenges and Opportunities. In The Fourth Industrial Revolution: Implementation of Artificial Intelligence for Growing Business Success (pp. 375-388). Springer, Cham.

[3]: Chilunjika, A. (2022). Artificial intelligence and public sector human resource management in South Africa: Opportunities, challenges and prospects. SA Journal of Human Resource Management, 20, 12-24.

[4]: Centre for Intellectual Property and Information Technology Law (CIPIT). (2025). The State of AI in Africa Report 2025. Strathmore University.

[5]: Brookings Institution. (2025). Foresight Africa 2025: Top priorities for the continent. Washington, D.C.

[6]: African Union. (2024). The Continental Artificial Intelligence Strategy. Addis Ababa.

[7]: IEEE. (2019). Robotics and Artificial Intelligence in Africa. IEEE Robotics & Automation Magazine, 26(4), 131-135.

[8]: Eleanya, F. (2025). Nigeria's Flowmono bets on AI to transform electronic signatures. TechCabal. Retrieved from https: //techcabal.com/

[9]: Schwartz, R., Dodge, J., Smith, N. A., & Etzioni, O. (2020). Green AI. Communications of the ACM, 63(12), 54-63.

[10]: Bolón-Canedo, V., Morán-Fernández, L., Cancela, B., & Alonso-Betanzos, A. (2024). A review of green artificial intelligence: Towards a more sustainable future. Neurocomputing, 599, 128096.

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