Amid the backdrop of global digital transformation, artificial intelligence (AI) has emerged as one of the key drivers of change within the banking industry. International experience confirms its high efficacy: according to KPMG’s The Intelligent Bank 2025, over 80% of banks regard AI as a strategic asset. Expected benefits include cost reduction, enhanced decision accuracy, and improved customer experience. Countries such as China, the Netherlands, and Sweden have already implemented large-scale AI use cases in underwriting, fraud detection, service automation, and product personalization.
The development of AI holds particular significance for Uzbekistan, as it has been designated a technological priority at the state level. The Presidential Decree titled On «Approval of the Strategy for the Development of Artificial Intelligence Technologies until 2030», adopted in April 2024, envisions the establishment of a regulatory framework, development of technical infrastructure for data processing and AI project implementation, execution of priority initiatives in social and economic spheres, as well as enhancement of digital skills among the population and the development of human capital.
According to KPMG’s assessment, the maturity level of Uzbekistani banks in AI adoption remains low. Unlike countries with more advanced digital infrastructure, AI is not yet applied in critical processes such as customer experience management, operational automation, and decision-making. Key barriers include outdated IT systems, weak data integration, and limited human resources in analytics and technology.
Nevertheless, the potential of AI for banks in Uzbekistan is substantial. The rapidly growing volume of digital transactions and high mobile banking activity generate an extensive behavioral data set. This data can be leveraged to build credit scoring models, anti-fraud systems, personalized marketing, and demand forecasting tools. Implementing AI in contact centers, risk management, and credit processes will enable cost reduction, faster service delivery, and greater decision accuracy. Realizing these opportunities will require banks to modernize their IT architectures, deploy data governance systems, and comply with new standards for algorithmic transparency and interpretability.