Artificial Intelligence in Libyan Industries: Current State and Future Prospects


  • Musbah Saleh Higher institute of science and technology Marada


This paper critically examines the role and future of Artificial Intelligence (AI) in the industrial sectors of Libya, offering an in-depth analysis of its current adoption, potential growth, and the consequent impacts on the country's economic and technological landscape. Beginning with a global perspective, the study traces the evolution of AI from its foundational stages to its current status as a key driver of innovation and efficiency in diverse sectors globally. It then narrows its focus to Libya, where the industrial scene is predominantly anchored in the oil and gas sector, exploring how AI is beginning to shape these fields, as well as its emerging presence in manufacturing and agriculture. The analysis acknowledges the unique challenges Libya faces in terms of technological infrastructure and educational readiness for a future shaped by AI. By drawing parallels with similar economies, the study identifies strategic lessons and approaches that could facilitate AI integration in Libya. It forecasts significant growth and diversification of AI applications across Libyan industries, emphasizing the necessity of comprehensive government policies, educational reform, and international collaborations to enable this transition. Conclusively, the paper posits that AI is not merely a technological upgrade but a strategic asset for Libya's economic diversification and technological advancement. It argues for a balanced approach that encompasses ethical considerations and regulatory frameworks to fully leverage AI's capabilities. This comprehensive exploration underscores AI's potential as a transformative force for Libya's industrial sectors, highlighting its pivotal role in shaping the nation's economic resilience and technological progress in the digital era. 


Abduljabbar, R., Dia, H., Liyanage, S., & Bagloee, S. A. (2019). Applications of artificial intelligence in transport: An overview. Sustainability, 11(1), 189.

Agoubi, B. (2021). A review: saltwater intrusion in North Africa’s coastal areas—current state and future challenges. Environmental Science and Pollution Research, 28, 17029-17043.

Ahmed, A. A., Belrzaeg, M., Nassar, Y., El-Khozondar, H. J., Khaleel, M., & Alsharif, A. (2023). A comprehensive review towards smart homes and cities considering sustainability developments, concepts, and future trends. World J. Adv. Res. Rev, 19(1), 1482-1489.

Al Adwan, M. N., Mahmoud, M. A. A., Abdallah, R., Abokhoza, R., & Taha, S. (2023). The Impact of Artificial Intelligence Applications on Media Industries: A Prospective Study. Journal of Namibian Studies: History Politics Culture, 33, 721-734.

Alsharif, I., Hebrisha, H. E., & Ahmed, A. A. (2023). A Comprehensive Review Towards Libyan Smart Cities. African Journal of Advanced Pure and Applied Sciences (AJAPAS), 15-22.

Alzahrani, A. (2022). A systematic review of artificial intelligence in education in the arab world. Amazonia Investiga, 11(54), 293-305.

Awotunde, J. B., Jimoh, R. G., Matiluko, O. E., Gbadamosi, B., & Ajamu, G. J. (2021). Artificial intelligence and an edge-IoMT-based system for combating COVID-19 pandemic. In Intelligent Interactive Multimedia Systems for e-Healthcare Applications (pp. 191-214). Singapore: Springer Singapore.

Butcher, J., & Beridze, I. (2019). What is the state of artificial intelligence governance globally?. The RUSI Journal, 164(5-6), 88-96.

Elmousalami, H. H. (2020). Artificial intelligence and parametric construction cost estimate modeling: State-of-the-art review. Journal of Construction Engineering and Management, 146(1), 03119008.

Gadhoum, Y. (2022). A Proposed Model of a Future University in the Era of the Artificial Intelligence Transformative Society: From Why to How. Creative Education, 13(3), 1098-1119.

Jaldi, A. (2023). Artificial Intelligence Revolution in Africa: Economic Opportunities and Legal Challenges.

Kakani, V., Nguyen, V. H., Kumar, B. P., Kim, H., & Pasupuleti, V. R. (2020). A critical review on computer vision and artificial intelligence in food industry. Journal of Agriculture and Food Research, 2, 100033.

Khaleel, M., Ahmed, A. A., & Alsharif, A. (2023). Artificial Intelligence in Engineering. Brilliance: Research of Artificial Intelligence, 3(1), 32-42.

Livingston, S., & Risse, M. (2019). The future impact of artificial intelligence on humans and human rights. Ethics & international affairs, 33(2), 141-158.

Makhluf, S., & Abdulshahed, A. M. (2020). Internet of Things for Libya Healthcare System: Challenges and Issues.

Mintz, Y., & Brodie, R. (2019). Introduction to artificial intelligence in medicine. Minimally Invasive Therapy & Allied Technologies, 28(2), 73-81.

Miskat, M. I., Sarker, P., Chowdhury, H., Chowdhury, T., Rahman, M. S., Hossain, N., ... & Sait, S. M. (2023). Current scenario of solar energy applications in Bangladesh: techno-economic perspective, policy implementation, and possibility of the integration of artificial intelligence. Energies, 16(3), 1494.

Mohapatra, S., Kumar, A., & Kumar, A. (2019). Developing a framework for adopting artificial intelligence. International Journal of Computer Theory and Engineering, 11(2), 19-22.

Na, S., Heo, S., Choi, W., Kim, C., & Whang, S. W. (2023). Artificial Intelligence (AI)-Based Technology Adoption in the Construction Industry: A Cross National Perspective Using the Technology Acceptance Model. Buildings, 13(10), 2518.

Necula, S. C. (2023). Assessing the Potential of Artificial Intelligence in Advancing Clean Energy Technologies in Europe: A Systematic Review. Energies, 16(22), 7.

Oun, A., Benabdallah, I., & Cherif, A. (2019). Improved industrial modeling and harmonic mitigation of a grid connected steel plant in Libya. International Journal of Advanced Computer Science and Applications, 10(2).

Rekkas, V. P., Sotiroudis, S., Sarigiannidis, P., Wan, S., Karagiannidis, G. K., & Goudos, S. K. (2021). Machine learning in beyond 5G/6G networks—State-of-the-art and future trends. Electronics, 10(22), 2786.

Schwalbe, N., & Wahl, B. (2020). Artificial intelligence and the future of global health. The Lancet, 395(10236), 1579-1586.

Singh, R., Memon, S. A., Shaikh, R., & Upadhyay, D. S. (2022). A review of artificial intelligence applied for the solution of issues in the extensive adaption of solar and wind energy. International Journal of Ambient Energy, 43(1), 7419-7436.

Sircar, A., Yadav, K., Rayavarapu, K., Bist, N., & Oza, H. (2021). Application of machine learning and artificial intelligence in oil and gas industry. Petroleum Research, 6(4), 379-391.

Taha-Mehlitz, S., Hendie, A., & Taha, A. (2021). The Development of Electronic Health and Artificial Intelligence in Surgery after the SARS-CoV-2 Pandemic—A Scoping Review. Journal of Clinical Medicine, 10(20), 4789.

Tran, B. X., Vu, G. T., Ha, G. H., Vuong, Q. H., Ho, M. T., Vuong, T. T., ... & Ho, R. C. (2019). Global evolution of research in artificial intelligence in health and medicine: a bibliometric study. Journal of clinical medicine, 8(3), 360.

Zekos, G. I. (2021). Economics and Law of Artificial Intelligence. Springer Books.

Zhao, S., Blaabjerg, F., & Wang, H. (2020). An overview of artificial intelligence applications for power electronics. IEEE Transactions on Power Electronics, 36(4), 4633-4658.




How to Cite

Saleh, M. (2024). Artificial Intelligence in Libyan Industries: Current State and Future Prospects. Journal of Reproducible Research, 2(2), 10–18. Retrieved from