Artificial Intelligence Adoption in Financial Systems: Implications for Risk, Efficiency, and Stability in Emerging Economies

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Authors: Atif Ali Khan, Sahar Fatima, Jehangir Akbar, Attique ur Rehman
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Abstract

This study presents a comprehensive analysis of the dualistic impact of Artificial Intelligence (AI) adoption within Pakistan's financial system from 2016 to 2025. Employing a mixed-methods longitudinal case study approach, the research integrates documentary analysis of regulatory frameworks, quantitative trend analysis, and insights from elite interviews with regulators and industry practitioners. The investigation reveals that AI has simultaneously functioned as a catalyst for modernization and a source of novel systemic vulnerability. On one hand, it has generated measurable gains in operational efficiency, enhanced credit risk assessment through alternative data, and improved fraud detection capabilities. On the other, it has introduced and amplified risks, including embedded algorithmic bias, heightened cybersecurity threats, and new channels for pro-cyclical instability via digital concentration and correlated algorithmic decision-making. The findings affirm that the net impact of AI is not technologically deterministic but is critically mediated by Pakistan's unique institutional context. Enabling factors such as proactive central banking and strategic digital public infrastructure have facilitated positive outcomes, while constraints like a weak data governance regime, significant digital divides, and a shallow talent pool have exacerbated negative externalities. This results in a state of managed asymmetry, where pockets of high-tech efficiency coexist with unaddressed socio-technical risks. The study concludes that navigating this asymmetry requires a fundamental shift from managing technological adoption to governing the emergent ecosystem. It proposes a forward-looking, five-pillar policy roadmap focused on agile regulation, embedded AI risk governance, inclusive innovation, systemic resilience, and strategic human capital development. This research contributes a critical, context-specific analysis to the global discourse on fintech, asserting that for emerging economies like Pakistan, the benefits of AI are contingent upon deliberate institutional adaptation designed to harness its efficiency while safeguarding financial stability and equity.

Fields of Study & Subjects

Digital Transformation in Financial Services FinTech Crowdfunding Digital Finance Banking stability regulation efficiency

Publication details

Journal / source
The Critical Review of Social Sciences Studies
Volume
4
Issue
1
Pages
869–888
Publication date
27 January 2026
Language
EN