Kazakhstan Adopts Pragmatic AI Regulation in Financial Sector

As of early 2026, the global financial market faces a strategic choice: impose tighter restrictions on artificial intelligence or allow the technology to evolve within existing regulatory frameworks. While the European Union has opted for comprehensive regulation, Kazakhstan has adopted a more pragmatic approach. According to the National Bank of Kazakhstan, approximately 75% of the country’s banks already use AI technologies— a share that has risen steadily over the past year — and 88% plan to expand their use. This indicates that AI integration is no longer experimental but systemic within the financial sector. Banks are increasingly deploying AI in credit underwriting, fraud detection, and anti-money-laundering transaction screening Madina Abylkasymova, Chair of the Agency for Regulation and Development of the Financial Market, articulated the principle of technological neutrality as early as 2025: the regulator does not intend to introduce artificial constraints until uniform global standards for AI are established. In her view, existing regulatory frameworks remain sufficient. Cybersecurity requirements, data protection standards, and risk management rules continue to apply regardless of whether decisions are made by humans or algorithms. Accountability and oversight remain unchanged. Infrastructure Before Regulation At the same time, the market faces significant structural barriers. These include a shortage of specialists at the intersection of finance and data science, the absence of unified data standards, and the high cost of computing infrastructure. The introduction of additional “European-style” restrictions could disproportionately burden smaller market participants and potentially force them out of the sector. Over the past twelve months, discussions have shifted from pilot experimentation to operational scaling across core banking functions. Some market participants have privately expressed concern that regulatory lag could eventually create supervisory blind spots as AI models grow more complex. Recognizing the high cost of entering the AI ecosystem, the state is assuming an infrastructural role. Timur Suleimenov, Governor of the National Bank of Kazakhstan, operating within the broader digital modernization agenda supported by President Kassym-Jomart Tokayev has outlined a strategic objective: to establish secure and scalable infrastructure to support AI development in the financial sector. This includes the launch of domestic data centers and the expansion of partnerships with global technology companies. The stated goal is to strengthen technological sovereignty and ensure the protection of citizens’ personal data. In practical terms, the regulator aims to create a sovereign “sandbox” in which fintech companies can test algorithms without transferring sensitive information to foreign servers. Supervisory Modernization The rapid expansion of AI also requires a transformation of supervisory practices. Currently, 39% of financial organizations in Kazakhstan use neural networks in some capacity. Over the past year, the number of companies that have progressed from pilot projects to partial implementation has nearly doubled. International institutions, including the Bank for International Settlements and the International Monetary Fund, argue that AI does not generate fundamentally new categories of risk. Rather, it accelerates and amplifies existing risks, credit, market, and operational. This suggests that regulators do not need to rewrite foundational rules but must enhance the speed, scale, and depth of...

Digital Inequality in Central Asia: Who Is Winning the AI Race in Finance?

AI in Central Asia’s financial sector is no longer a fashionable add-on. It has become a dividing line between leaders and laggards. A comprehensive report by the National Bank of Kazakhstan and the Fintech AI Center highlights a stark reality: while some institutions are building sovereign data centers, others are still attempting to automate basic document management processes. Kazakhstan is setting the pace. In his introduction to the report, Timur Suleimenov, Governor of the National Bank of Kazakhstan, echoes President Tokayev’s digital modernization agenda, writing: “Artificial intelligence is rapidly becoming a new paradigm for the development of the national economy… Our country faces the task of not only avoiding being left on the periphery of the global technological trend, but also of using its potential to accelerate economic modernization.” The regional AI race in finance is effectively underway, and the findings reveal deep digital inequality. The Balance of Power: Leaders and Followers A review of AI implementation across the region shows a pronounced technological divide. Kazakhstan remains the undisputed leader. Its banking sector has moved beyond experimental pilot projects. According to the report, AI is most actively deployed in the development of new products (14% of financial institutions) and marketing (13%), where neural networks enable hyper-personalized offerings. A further 10% of institutions use AI in operational activities and compliance. Elsewhere in Central Asia, governments are developing ambitious strategies, but implementation in the financial sector remains limited. Kyrgyzstan plans to launch a National AI Platform under its Digital Transformation Concept for 2024-2028. However, most of the country’s banks remain at the pilot or early implementation stage. Current AI applications focus primarily on decision-making optimization and advertising materials rather than complex financial operations. Tajikistan has positioned itself prominently at the policy level. It adopted an AI Development Strategy through 2040, the region’s first long-term framework, and initiated a United Nations General Assembly resolution on AI for Central Asia in July 2025. Yet in practice, the country’s financial market is dominated by microfinance organizations (MFOs), which are cautious in adopting advanced technologies. Their AI use is largely confined to risk management and documentation, while automation, software development, and data processing lag behind. Only 7% of institutions apply AI in financial consulting and customer support. Uzbekistan has taken a different route, prioritizing international and regional partnerships. In October 2024, the government approved its AI Development Strategy through 2030. Rather than building infrastructure independently, Tashkent is partnering with global technology providers. The state is working with Huawei to develop physical AI infrastructure and deploy ready-made industry solutions. At the same time, Uzbekistan is strengthening its academic capacity, including investments in high-performance computing for Inha University in Tashkent. Regional integration is also central to its strategy: IT Park Uzbekistan has signed a memorandum with Kazakhstan’s Astana Hub to integrate startup ecosystems. This combination, collaboration with global vendors, academic investment, and regional partnerships, is enabling Uzbekistan to narrow its technological gap more quickly. People Instead of Servers Digital inequality is most evident in spending priorities. Investment structures...