In an era where governments routinely announce digital ambitions, the more difficult task is execution. Strategies are often expansive, but delivery tends to be uneven – fragmented across institutions, slowed by capacity constraints, or disconnected from real economic outcomes. Kazakhstan’s current trajectory suggests an attempt to address this gap directly: by aligning political direction, institutional design, and implementation within a single framework.
At the center of this approach is Kazakhstan’s President, Kassym-Jomart Tokayev, who has framed digitalisation and artificial intelligence as foundational to the country’s long-term development model. In his September 2025 Address, Tokayev set a clear objective – to position Kazakhstan among global leaders in digital development within three years. The subsequent designation of 2026 as the “Year of Digitalization and Artificial Intelligence” formalised this ambition at the policy level. The more consequential question, however, is how such ambition translates into practice.
Recent developments indicate a shift from declarative policy to coordinated execution. The launch of the International Artificial Intelligence Center Alem.ai in Astana is emblematic of this transition. Rather than functioning as a standalone technology hub, Alem.ai is designed as an integrated system linking education, research, startup development, and public sector application. Its structure reflects an effort to reduce the institutional fragmentation that often slows technological adoption.
What is notable is not only the creation of the center itself, but the way it has been embedded within a broader sequence of initiatives. On the same day as his visit to Alem.ai, Tokayev oversaw the rollout of several interconnected projects: the expansion of Tomorrow School, a peer-to-peer AI education platform, across 14 regions; the opening of TUMO Astana, a creative technology center for teenagers; and the presentation of the Astana Smart City platform, developed in partnership with Presight, which integrates urban data systems in real time.
Taken together, these initiatives point to a deliberate attempt to align different layers of technological development. Education is being scaled alongside infrastructure; experimentation is being linked to deployment; and policy signals are being reinforced through visible implementation. This “whole-of-system” approach contrasts with more incremental models, where reforms are introduced sequentially and often lack coherence.
The emphasis on human capital is particularly central. Kazakhstan’s strategy extends beyond elite training toward broader participation, with programmes targeting different age groups and skill levels. TUMO Astana introduces teenagers to fields such as generative AI, programming, and digital design, while Tomorrow School focuses on practical, project-based learning for adults. Plans for an AI-focused university and specialised degree programmes further extend this pipeline. The underlying logic is that technological transformation requires not only infrastructure, but a sufficiently large and adaptable workforce.
This focus on scale introduces both opportunity and risk. On one hand, expanding access to digital education can accelerate capability-building and reduce reliance on external expertise. On the other, maintaining quality at scale remains a challenge faced by many countries pursuing rapid upskilling. The effectiveness of Kazakhstan’s approach will depend on whether these programmes produce not just participation, but high-level competence.
Parallel to domestic talent development, Kazakhstan is also attempting to position itself as a destination for international specialists. The Digital Nomad Residency programme, launched in 2025, aims integrate global expertise into the local ecosystem. More than 700 applications from over 30 countries have been submitted, with over 120 specialists already granted status. The process, conducted online and designed to be administratively streamlined, signals a broader attempt to compete in the global market for digital talent.
Building a competitive technology ecosystem requires both internal capacity and external input. Kazakhstan’s targets to train 10,000 AI specialists and increase IT service exports to $5 billion by 2030 are unlikely to be achieved through domestic resources alone. Attracting experienced professionals, including those with backgrounds in leading global firms and universities, is intended to accelerate knowledge transfer and ecosystem development. Early examples, including relocations by specialists from the United States, suggest that the model has begun to gain some traction, although its long-term sustainability remains to be tested.
Beyond education and talent, infrastructure has also emerged as a key component of the strategy. Kazakhstan’s investment in its own AI capabilities, including the Alem.Cloud supercomputer, which has entered the global TOP500 ranking, suggests an understanding that technological competitiveness increasingly depends on access to compute and data. These investments are complemented by improvements in digital performance more broadly, as reflected in the country’s upward movement in international indices. Kazakhstan now ranks 24th in the United Nations E-Government Development Index and has improved its position in the Government AI Readiness Index and global connectivity rankings.
These rankings suggest that Kazakhstan’s efforts are beginning to register within the global digital landscape, particularly when viewed against the constraints typically faced by landlocked and resource-dependent economies.
Kazakhstan is also hosting GITEX AI Central Asia & Caucasus on May 4-5 in Almaty, marking the country’s largest international technology forum to date. The event is bringing together over 600 exhibitors from more than 60 countries and more than 10,000 participants, focusing on artificial intelligence, fintech, cybersecurity, cloud technologies, and e-government as Kazakhstan positions itself as a growing digital hub in Central Asia.
In emerging technology ecosystems, fragmentation can delay progress and dilute impact. By contrast, a more integrated approach can accelerate early-stage development, enabling faster iteration and clearer strategic direction. In this sense, Kazakhstan’s model is a trade-off between speed and decentralisation.
What distinguishes the current trajectory is not any single initiative, but the attempt to connect multiple elements into a coherent system. From high-level political direction to institutional design and practical implementation, the emphasis is on continuity between vision and execution. As a case study in how states attempt to organise technological transformation, it offers a more structured model than is often seen in comparable contexts.
