Revolutionising Islamic Finance with Artificial Intelligence: A Bibliometric and Strategic Analysis

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Published May 19, 2026
https://doi.org/10.21098/jcli.v5i2.329

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Vol. 5 No. 2 (2026)

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Azwar Azwar
Sekolah Tinggi Ilmu Islam dan Bahasa Arab (STIBA) Makassar, Indonesia
Abur Hamdi Usman
Fakulti Pengajian Peradaban Islam, Universiti Islam Selangor (UIS), Malaysia
Bayu Taufiq Possumah
Universitas Islam Tazkia, Indonesia

Abstract

This study examines the development of Artificial Intelligence (AI) research in Islamic finance and analyses its regulatory and institutional implications for central banks and financial supervisory authorities. Specifically, the study maps scholarly trends on AI-enabled Islamic finance and assesses regulatory strengths, weaknesses, opportunities, and threats faced by public financial authorities in governing AI adoption. Using bibliometric analysis of Scopus-indexed publications from 2017 to 2024, the study identifies research trends, key contributors, institutional affiliations, and thematic evolution in this field. The findings show a steady increase in scholarly output, with 47 publications over the past decade, led by authors including Shahnawaz Khan and Mohammad Irfan, and significant contributions from institutions in Malaysia and Bahrain. Topic mapping reveals that AI adoption in Islamic finance is increasingly associated with innovation, blockchain integration, and sustainable development, raising significant regulatory concerns. To support this objective, a SWOT analysis is employed and reframed as a regulatory and institutional assessment that evaluates how central bank innovation mandates and supervisory instruments constitute strengths and opportunities, while legal uncertainty, algorithmic bias, data protection, and supervisory capacity represent key weaknesses and threats. The study concludes that although AI holds substantial potential to enhance efficiency and governance in Islamic finance, its effective deployment depends on coherent regulatory frameworks, strengthened coordination between central banks and Sharia authorities, and sustained capacity-building to manage emerging legal and institutional risks.

Keywords: artificial intelligence, islamic finance, bibliometrics, digital transformation, SWOT

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How to Cite
Azwar, A., Abur Hamdi Usman, & Bayu Taufiq Possumah. (2026). Revolutionising Islamic Finance with Artificial Intelligence: A Bibliometric and Strategic Analysis. Journal of Central Banking Law and Institutions, 5(2), 241–280. https://doi.org/10.21098/jcli.v5i2.329

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