| Title: AI-BASED CREDIT SCORING AND FINANCIAL ACCESS FOR MSMES: EVIDENCE FROM SECONDARY DATA |
| Author: Dr. Subramanya S.V. and Dr. Anil N. |
| Abstract: Micro, Small, and Medium Enterprises (MSMEs) play a crucial role in economic growth, employment generation, and innovation, particularly in emerging economies. Despite their importance, access to formal credit remains a persistent challenge for MSMEs due to information asymmetry, lack of collateral, and limited credit histories. In recent years, Artificial Intelligence (AI)-based credit scoring models have emerged as a transformative solution to these challenges. This article, based on secondary data from academic literature, industry reports, and policy documents, examines how AI-driven credit scoring enhances financial access for MSMEs. The study highlights the mechanisms, benefits, risks, and policy implications of AI-based credit assessment, concluding that while AI significantly improves credit inclusion, responsible adoption and regulatory oversight are essential to ensure fairness and sustainability. |
| Keywords: Artificial Intelligence, Credit Scoring, MSMEs, Financial Inclusion, Fintech, Alternative Data |
| DOI: https://doi.org/10.38193/IJRCMS.2026.8202 |
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| Date of Publication: 07-03-2026 |
| Download Publication Certificate: PDF |
| Published Vol & Issue: Volume 8 Issue 2 March-April 2026 |