The Impact of Artificial Intelligence (AI) Implementation on Islamic Financial Literacy and Global Economic Changes in the Banking World

Authors

  • KMT Lasmiatun Muhammadiyah University of Semarang, Indonesia Author
  • Nikzad Manteghi Industrial Management Dept, shiraz branch, Islamic Azad University, Shiraz, Iran Author

DOI:

https://doi.org/10.24235/x0qwax05

Keywords:

Artificial Intelligence (AI) , Islamic Financial Literacy , Global Economic

Abstract

Currently, the banking sector is facing a transformation towards the digital era in response to the development of fintech and the digital technology revolution. This transformation has brought banks into the era of digital banking services that aim to spread financial inclusion and provide access to the community without time and place constraints. Advances in information and communication technology have brought changes to various industries, including the Islamic finance sector. The development of artificial intelligence (AI) is crucial in the digitalization of Islamic money and offers opportunities to increase efficiency, personalize services, and reduce risks. This study aims to analyze the impact of AI implementation on financial literacy and global economic changes in the banking world by emphasizing effectiveness, efficiency, and compliance with Sharia principles. The research method used is qualitative literature research. Data comes from various sources, including relevant research papers, journals, and books. The findings of this study indicate that the application of AI in Islamic finance can improve operational efficiency, make financial services more accessible, and enable data analysis in a way that facilitates the development of strategic plans. However, the most important thing is to ensure that AI development complies with Sharia principles, including identifying riba, gharar, and non-halal transactions. The findings of this study highlight the importance of clear regulations to support the use of AI in Islamic finance, even if it is based on Islamic law. Through careful and innovative thinking, AI can serve as a strategic tool to enhance the Islamic banking sector in Indonesia, promote financial inclusion, and foster the country's economic growth. 

References

Al-Baity, H. H. (2023). The artificial intelligence revolution in digital finance in Saudi Arabia: A comprehensive review and proposed framework. Sustainability (Switzerland), 15(18), 23–37. https://doi.org/10.3390/su151813725

Alshater, M. M., Saba, I., Supriani, I., & Rabbani, M. R. (2022). Fintech in Islamic finance literature: A review. Heliyon, 8(9), e10385. https://doi.org/10.1016/j.heliyon.2022.e10385

Amelia, S. (2023). The role of technology in economic and business transformation in the digital era. Ic-Itechs, 4(1), 264–270.

Aoujil, Z., Hanine, M., Flores, E. S., Samad, M. A., & Ashraf, I. (2023). Artificial intelligence and behavioral economics: A bibliographic analysis of research field. IEEE Access, 11, 139367–139394. https://doi.org/10.1109/ACCESS.2023.3339778

Adznan, S., Sanusi, S., Zaki, H.O., Raheem, M.M. and Smolo, E. (2024). Islamic banking and the fourth industrial revolution: The current application, adoption, and future challenges of artificial intelligence. In The Future of Islamic Finance (pp. 207-219). Emerald Publishing Limited. https://doi.org/10.1108/978-1-83549-906-120241013

Annu., Tripathi, R. (2024). An insight of financial literacy and artificial intelligence to mitigate behavioral biases: A bibliometric and systematic review analysis using SPAR-4-SLR. International Journal of Emerging Markets. https://doi.org/10.1108/IJOEM-07-2024-1110

Arsyad, I., Kharisma, D.B. and Wiwoho, J. (2025). Artificial intelligence and Islamic finance industry: Problems and oversight. International Journal of Law and Management. https://doi.org/10.1108/IJLMA-07-2024-0236

Aspiranti, T., Ali, Q., Parveen, S., Amaliah, I., Jalil, M. A., & Merican, F. M. I. (2023). Bibliometric review of corporate governance of islamic financial institutions through AI-based tools. International Journal of Professional Business Review, 8(4), 1–30. https://doi.org/10.26668/businessreview/2023.v8i4.1710

Gazali, H. M., Jumadi, J., Ramlan, R., Rahmat, N. A., Nor, S., Uzair, H. M., & Mohid, A. N. (2020). Application of artificial intelligence (AI) in islamic investments. Journal of Islamic Finance (JIF), 9(2), 70–78.

Irfan, M., Kadry, S., Sharif, M., & Khan, H. U. (Eds.). (2023). Fintech Applications in Islamic Finance: AI, Machine Learning, and Blockchain Techniques: AI, Machine Learning, and Blockchain Techniques. IGI Global.

Kismawadi, E. R., Hervasha, T., & Syahril, M. (2024). Optimizing Sharia principles through artificial intelligence: A juridical-economic inquiry into combating fraud in islamic finance institutions. Dirundeng International Conference on Islamic Studies, 8(2), 17–35.

Maryadi, M., Arief, Z., Nuriasari, S., Rodoni, A., & Amelia, E. (2024). Artificial intelligence to control the consumption of islamic banking customers. EconBank: Journal of Economics and Banking , 6 (1), 1–13. https://doi.org/10.35829/econbank.v6i1.311

Norrahman, R. A. (2023). The effect of using artificial intelligence on customer trust on Sharia bank services in Indonesia. Islamic Economics Review Journal, 2(2), 1–10.

Omar, M. N., & Adam, A. (2024). Exploring the potential of artificial neural network in Sharīʿah decision-making for digital banking : A literature review. TAFHIM, 17(2), 105–130.

Qudah, H., Malahim, S., Airout, R., Alomari, M., Hamour, A. A., & Alqudah, M. (2023). Islamic finance in the era of financial technology: A bibliometric review of future trends. International Journal of Financial Studies, 11(2). https://doi.org/10.3390/ijfs11020076

Rani, M., & Alyssa, S. (2024). The role of AI-based decision making systems for risk management in Sharia banking institutions. In Proceedings of Academic Seminar and International Conference, 1(1), 1-05.

Millaningtyas, R., Amin, M., Hermawan, A., & Handayati, P. (2024). Digital transformation of financial literacy and inclusion as a support for convenience for MSMEs. International Journal of Humanities Education and Social Sciences, 3(5). https://doi.org/10.55227/ijhess.v3i5.824

Mansyur, A. (2024). Mapping Islamic financial technology publications through bibliometric analysis: A study on the Scopus database. Journal of Enterprise and Development (JED), 15(1), 37–48.

Riani, R. (2024). Artificial Intelligence (AI) in the Financial Sector. Digital Economics Review, 1(1), 24–37. https://doi.org/10.58968/der.v1i1.476

Rabbani, M. R., Sarea, A., Khan, S., & Abdullah, Y. (2022). Ethical concerns in artificial intelligence (AI): The role of RegTech and Islamic finance. In A. M. A. Musleh Al-Sartawi (Ed.), Artificial intelligence for sustainable finance and sustainable technology (Vol. 423, pp. 441–455). Springer, Cham. https://doi.org/10.1007/978-3-030-93464-4_38

Sarea, A. M., Bin-Nashwan, S. A., & Elsayed, A. H. (2021). Artificial intelligence and Islamic finance. Routledge.

Sulistyowati, S., Rahayu, YS, & Naja, CD (2023). Application of artificial intelligence as an innovation in the era of disruption in reducing the risk of Islamic microfinance institutions. Wadiah: Journal of Islamic Banking, 7(2), 117-142.

Sugioyono. (2017). Quantitative, Quantitative, and R&D Research Methods. Bandung: Alphabeta.

Sarea, A. M., Elsayed, A. H., & Bin-Nashwan, S. A. (2021). Artificial Intelligence and Islamic Finance. Artificial Intelligence and Islamic Finance. https://doi.org/10.4324/9781003171638

Setyowati, W., & Rahayu, I. S. (2023). Sector analysis of Islamic capital markets and artificial intelligence functioning as Sharia advisors. International Transactions on Artificial Intelligence (ITALIC), 1(2), 236–244. https://doi.org/10.33050/italic.v1i2.334

Siregar, K. H., Vientiany, D., Faried, A. I., & Swantika, I. (2024). Application of artificial intelligence ( AI ) as innovation in the era of disruption in reducing the risk of Islamic banking in Indonesia. 1st International Conference in Artificial Intelligence, Navigation, Engineering and Aviation Technology (ICANEAT) ISSN, 1(1), 4–7.

Syed, M. H., Khan, S., Rabbani, M. R., & Thalassinos, Y. E. (2020). Artificial intelligence and NLP-based Islamic FinTech model combining Zakat and Qardh-Al-Hasan for countering the adverse impact of COVID-19 on SMEs and individuals. International Journal of Economics and Business Administration, 8(2), 351–364. https://doi.org/10.35808/IJEBA/466

Tripalupi, R. I., Yulianti, L., & Naafisah, D. D. (2021). Optimization of financial technology as an opportunity for development of Islamic microfinance institutions. International Journal of Artificial Intelligence Research, 6(1). https://doi.org/10.29099/ijair.v6i1.340

Yang, H. S., Zheng, L., & Huang, Y. (2012). Critical success factors for MES implementation in China. IEEE International Conference on Industrial Engineering and Engineering Management, 9, 558–562. https://doi.org/10.1109/IEEM.2012.6837801

Zain, Nor Razinah Mohd. (2020). Enhancing Islamic banking and finance in Southeast Asia through the application of artificial intelligence: An exploration of banking's best practices. In N. Naifar (Ed.), Impact of Financial Technology (FinTech) on Islamic Finance and Financial Stability (pp. 36-53). IGI Global. https://doi.org/10.4018/978-1-7998-0039-2.ch003

Downloads

Published

2025-03-08

Issue

Section

Articles

How to Cite

The Impact of Artificial Intelligence (AI) Implementation on Islamic Financial Literacy and Global Economic Changes in the Banking World. (2025). Journal of Lslamic Economics and Bussines Ethics, 2(1), 24-43. https://doi.org/10.24235/x0qwax05

Most read articles by the same author(s)

1 2 > >>