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Higher Education

Academy of Digital Technologies & Artificial Intelligence Inaugurated in Kazakhstan

The Academy of Digital Technologies & Artificial Intelligence (ADT&AI) has opened at Satbayev University in Almaty. The new institution will focus on developing digital solutions and artificial intelligence technologies for training next-generation specialists, as well as creating solutions for the corporate sector. The opening ceremony on May 5 was attended by Presidential Aide Kuanyshbek Yessekeyev, Deputy Minister of Science and Higher Education Dinara Shcheglova, and Vice President of the National Academy of Sciences Askar Dzhumadildayev. According to the Ministry of Science and Higher Education, the new academy will offer online courses, making technical education accessible regardless of students’ location. The academy has also launched professional development programs for employees of Kazakhstani enterprises and supports businesses in implementing digital transformation tools in their operations. Through its own data center, the academy will develop digital services and artificial intelligence-based solutions. The AI Lab will play a central role in the academy’s work by integrating AI algorithms into educational and corporate products. “We are creating not just an educational platform, but a fully-fledged technological environment where education, infrastructure, and artificial intelligence work together. Our goal is to provide students and partners with real tools for working and developing in the digital economy,” said Natalia Kudryavtseva, project manager and business analyst at the AI Lab. ADT&AI was created as part of the AI-Sana national program for the development of artificial intelligence in Kazakhstan. The large-scale government initiative aims to develop AI competencies among students, support startups, and create a next-generation technological environment. The program is being implemented with the support of the Ministry of Science and Higher Education and leading universities, including Satbayev University.

Kazakhstan Develops AI System for Drilling Monitoring with Plans for Export

Kazakhstan has developed a domestically produced AI system for real-time monitoring of drilling operations and plans to promote it in international markets, Energy Minister Yerlan Akkenzhenov has announced. Speaking at a government meeting on April 28 focused on integrating AI into the economy, Akkenzhenov announced the creation of an AI alliance under the Ministry of Energy. The alliance brings together technology companies, industry participants, and developers to coordinate the deployment of digital solutions, with a priority on local innovations. One of the alliance’s key initiatives is an intelligent drilling monitoring system currently undergoing pilot implementation. According to Akkenzhenov, the system covers more than 4,000 wells and analyzes production data in real time, identifying anomalies and forecasting output levels. The pilot project is being implemented at facilities operated by KazMunayGas and other subsoil users. The deployment is expected to reduce well downtime by up to 20% and generate an estimated economic benefit of around $2.2 million annually. “It is important that the system has been developed in Kazakhstan and has export potential. Work is currently underway to promote it in international markets, including the United States,” Akkenzhenov said. The minister added that AI is also being used to monitor the circulation of petroleum products. The system processes real-time data from oil refineries, storage facilities, the national railway operator Kazakhstan Temir Zholy (KTZ), and government agencies. This enables more accurate forecasting of fuel reserves and helps identify risks of shortages or excess supply. “The expected outcome is an increase in planning accuracy to 85% and savings of up to $48.4 million annually,” the minister said. The system was developed through cooperation between KazMunayGas and the Kazakh-British Technical University as part of the AI-Sana program aimed at strengthening AI capabilities. According to the ministry, the AI alliance has developed a portfolio of 45 projects, 10 of which are currently under evaluation and preparation for implementation. The Times of Central Asia previously reported that President Kassym-Jomart Tokayev had instructed the creation of a specialized artificial intelligence university in Kazakhstan.

AI Regulation

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...

DUMK

Kazakhstan to Launch AI-Powered Imam App

Kazakhstan’s Spiritual Administration of Muslims (DUMK) is set to integrate artificial intelligence into religious practice with the launch of Imam AI, a mobile application designed to provide believers with instant, Sharia-compliant answers to religious questions. The initiative aims to ease the burden on clergy and offer verified religious guidance in a digital format. According to DUMK, the adoption of AI reflects growing public demand for fast and reliable religious information. “In line with modern requirements, we need to systematically introduce the capabilities of artificial intelligence into the religious sphere,” the organization stated in a post on the muftyatkz Instagram page. The Imam AI app will be built on AI technology and will draw from authenticated sources of Islamic knowledge. Supreme Mufti Nauryzbay Kazhy Taganuly stated that the platform would comply fully with Sharia law while providing accessible, on-demand religious consultations. This development is part of a broader effort to digitally transform religious institutions in Kazakhstan. The country has already begun incorporating AI into public administration, notably with the introduction of SKAI, a neural network based on a national language model used in state and quasi-state management. As a further step, DUMK plans to draft a Digital Development Concept for 2026-2028, which will set priorities for the digitalization of religious activities. The Supreme Mufti stressed that failing to adapt to technological change means falling behind the needs of contemporary society. “We are living in an era of technology and digital opportunity. Our responsibility is the systematic and widespread use of digital solutions and artificial intelligence in religious practice, in full accordance with Sharia law,” Taganuly noted. Another key initiative involves the creation of an Islamic finance sector under DUMK. The Mufti stated that growing religious awareness and a desire for ethical earnings have fueled demand for financial products that align with Islamic principles. The new sector will offer Sharia reviews of financial instruments and issue fatwas related to leasing, insurance, investments, bonds, digital assets, and electronic payment systems. Together, the launch of Imam AI and the institutionalization of Islamic finance mark a broader convergence of religion, technology, and economics in Kazakhstan. A recent joint report by the Eurasian Development Bank, the Islamic Development Bank Institute, and the London Stock Exchange forecasts steady growth in Islamic finance across Central Asia. For Kazakhstan, the digitalization of the religious sphere is becoming a key component of its broader modernization agenda, positioning AI not as a novelty but as a practical tool for improving access and meeting evolving societal expectations.

Legal Technology

Dushanbe Teen Develops Tajikistan’s First AI Legal Assistant

Tajikistan has launched its first AI-powered legal assistant, designed to simplify access to legal information by explaining laws in plain language. The project, called Moni, was developed by 15-year-old Foteh Azizov, a tenth-grade student at School No. 6 in Dushanbe. Already, the platform is being used not only by the general public but also by practicing lawyers. Azizov said the idea for Moni came from his own experience. While helping with content and promotion at his uncle’s law firm, he noticed how difficult it was for ordinary people and even himself, to understand the complex language used in legal documents. “Laws are often written in a complicated style, full of terminology,” Azizov explained. “That’s when I came up with the idea of creating a tool that explains the law in simple and accessible language for everyone.” He pitched the idea to his uncle, who supported the initiative and helped organize the project. “My motivation only grew, I wanted to build something that could really help people,” Azizov said. He taught himself the fundamentals of artificial intelligence, working through trial and error to create a functional prototype. A professional programmer later joined the team, assisting with website development and refining the platform’s features. Since its launch, Moni has proven useful not just to citizens but also to legal professionals, who use it as a convenient reference tool. The service is a free AI assistant specializing in Tajik law. It helps users locate relevant articles across a wide range of legal areas, including tax, land, labor, civil, and administrative law. Moni supports queries in multiple languages, including Tajik, Russian, English, and Kazakh. All inquiries are anonymous, and the platform does not collect any personal data. Its responses are based solely on publicly available legal documents. The most frequently asked questions revolve around taxes, business regulations, employment law, civil rights, and administrative violations. Looking ahead, Azizov says the team has many ideas for improving the platform, but their immediate goal is to continue developing the current product. “Our aim is to remain a free, user-friendly resource and become an indispensable legal advisor for everyone,” he said.

Made in Kazakhstan: Building an AI for a Nation

On a cold November morning at Al-Farabi University in Almaty, students gathered in a drafty lecture hall, many still wrapped in their coats. The setting was more reminiscent of a forgotten Soviet-era classroom than a venue for cutting-edge technology. But amid the peeling paint and rickety seats, some of the country’s most ambitious young researchers had come to discuss Kazakhstan’s latest steps into the world of artificial intelligence. The star billing came from the Institute of Smart Systems and Artificial Intelligence (ISSAI) at Nazarbayev University in Astana. Last year, the institute released KazLLM, its first Large Language Model (LLM), to much fanfare, inspired by a philosophy of building AI systems that understand the country’s language and culture rather than borrowing second-hand from Silicon Valley. But can Kazakhstan keep pace in the global AI race? And despite the government’s efforts to back local products, can it convince the population to use them over Western alternatives? Recent developments The Institute’s founder, Doctor Huseyin Atakan Varol, was keen to stress that steps have been taken to develop Kazakhstan’s native AI ecosystem over the past twelve months. “Since the release of KazLLM last year, we have witnessed what I would describe as a ‘Cambrian explosion’ of generative AI development,” he told The Times of Central Asia. “The KazLLM project enabled us to create the team and amass the know-how to build a new generation of multilingual and multimodal models tailored to Kazakhstan’s needs.” Among these, he lists Oylan, a multimodal language–audio-vision model; MangiSoz, a multilingual speech and text translation engine; TilSync, a real-time subtitle and translation engine; and Beynele, a text-to-image generation model. All these models have been fine-tuned to better reflect Kazakh culture and linguistic norms. “In short, we are building AI made in Kazakhstan, by Kazakhstani youth, for Kazakhstan –models that understand the language, culture, and needs of the people,” said Amina Baikenova, ISSAI’s Acting Deputy Director of Product and External Affairs, in an interview with TCA. [caption id="attachment_39061" align="aligncenter" width="1600"] The old lecture hall at Al-Farabi University, Almaty; image: TCA, Joe Luc Barnes[/caption] Much of this progress stems from the enthusiasm of a generation of students, whom Kazakhstan has invested heavily in training. Indeed, the country has become a magnet for young researchers from across Central Asia. “After completing my bachelor’s degree in Kyrgyzstan, I was looking for opportunities to build my research career. That’s why I moved to Kazakhstan,” said Adam Erik, an ISSAI student from Bishkek. “Kazakhstan has become a scientific center of Central Asia.” Erik believes strongly in building local language models. “There is a thing called bias in data sets,” he said. “Models from the U.S., China, or Europe are incredible, but they’re trained mostly on Western culture and literature. Local solutions are still necessary.” These sentiments reflect a common frustration among researchers: even the best global AI systems stumble when asked about Kazakh idioms, rural social norms, or local history. The data used to train the world’s most powerful models rarely includes more than a sliver...