Published February 12, 2026
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Artificial Intelligence (AI) Applications on the Banking Sector: Case Study of Egypt with Special Emphasis on Sustainable Development
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Description
The Egyptian banking sector witnessed huge technological advancement over the recent years. Since then, all banking transactions are done via internet banking, online banking, mobile applications, ATM machines, and electronic branches.
The Egyptian banking sectors is composed of 39 banks. Each bank has a huge widespread branch inside and outside Egypt. Some Egyptian banks established subsidiaries in European, African, Asian, and Arab countries.
The use of the AI in the banking solutions became a normal day-to-day practice in Egyptian banks. AIapplications based on various algorithms and machine learning tools are used by all banks in Egypt.
This applies to both commercial, and investment banks in Egypt, which give rise to the development ofresearch and development (R&D) in Egyptian banks, matched with outsourcing of such R&D services in some cases.
Purpose: This research paper attempts to study the relationship between AI and the development of the banking sector to support the economic growth in Egypt, with special consideration to financing the green economy.
Design/methodology/approach: This paper focuses on studying the impact of using the AI to enhance the banking services, and to minimize the banking risks in Egypt. The banking sector is crucial in transferring funds from savers to investors to finance projects, as part of the development process in Egypt, as a requirement for economic growth in Egypt.
Findings: the analysis and results underlined the followings:
1. The AI support to the advancement of the banking services in general.
2. The services are supported by the AI in the banking sector in Egypt.
3. The benefits of utilizing the AI in the banking sector in Egypt.
4. The relation between utilizing the AI in the banking sector and the green economic growth in Egypt.
The original/value of the chapter: It made recommendations and draw policies that can enhance the efficient utilization of the AI to better serve the banking sector in Egypt.
The Egyptian banking sectors is composed of 39 banks. Each bank has a huge widespread branch inside and outside Egypt. Some Egyptian banks established subsidiaries in European, African, Asian, and Arab countries.
The use of the AI in the banking solutions became a normal day-to-day practice in Egyptian banks. AIapplications based on various algorithms and machine learning tools are used by all banks in Egypt.
This applies to both commercial, and investment banks in Egypt, which give rise to the development ofresearch and development (R&D) in Egyptian banks, matched with outsourcing of such R&D services in some cases.
Purpose: This research paper attempts to study the relationship between AI and the development of the banking sector to support the economic growth in Egypt, with special consideration to financing the green economy.
Design/methodology/approach: This paper focuses on studying the impact of using the AI to enhance the banking services, and to minimize the banking risks in Egypt. The banking sector is crucial in transferring funds from savers to investors to finance projects, as part of the development process in Egypt, as a requirement for economic growth in Egypt.
Findings: the analysis and results underlined the followings:
1. The AI support to the advancement of the banking services in general.
2. The services are supported by the AI in the banking sector in Egypt.
3. The benefits of utilizing the AI in the banking sector in Egypt.
4. The relation between utilizing the AI in the banking sector and the green economic growth in Egypt.
The original/value of the chapter: It made recommendations and draw policies that can enhance the efficient utilization of the AI to better serve the banking sector in Egypt.
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IJSRED-V9I1P107.pdf
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