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Kazakhstan is positioning itself as a regional AI centre by combining a national strategy, new laws and rapid skills training. As first reported by Al Jazeera, the government declared 2026 the “Year of Digitalisation and Artificial Intelligence”, created a Ministry of Artificial Intelligence and Digital Development in 2025, and approved an action plan that runs through 2029. Public and private hubs are scaling course pipelines: Astana Hub reports 25,000 applications to its programmes and strict selection, and the Tomorrow School has trained 500 people eighteen months into the programme. Kazakhstan’s approach mixes national models, tax incentives for startups and state-backed AI pilots such as SKAI on the Samruk-Kazyna board.
Key takeaways
- National policy and institutions: The government created a Ministry of Artificial Intelligence and Digital Development in 2025 and approved an action plan through 2029.
- Training pipeline: Astana Hub received 25,000 applications and accepted less than 2 percent, and its Tomorrow School had trained 500 people after 18 months.
- Local AI products: Nazarbayev University’s models include MagniSoz and Oylan; MagniSoz launched in December 2024 and works in 11 languages.
- Corporate experiment: SKAI (Samruk-Kazyna Artificial Intelligence) became a voting board member at the sovereign fund in late 2025.
Table of contents
- Key takeaways
- How Astana Hub and the Tomorrow School scale talent
- Homegrown models and infrastructure: MagniSoz, Oylan and a supercomputer
- State strategy, corporate pilots and tax incentives
- Constraints: power, transparency and rights
- How Kazakhstan’s AI push could play out
- What to be careful about
- Frequently asked questions
How Astana Hub and the Tomorrow School scale talent
Astana Hub is central to Kazakhstan’s skills push. The cluster runs free programming and generative-AI classes for schoolchildren and adults, and it operates the Tomorrow School for intensive retraining. Valeria Tio, Astana Hub’s managing director, told Al Jazeera the hub has received 25,000 applications and that selection is strict: organisers take less than 2 percent of applicants.
Selection begins with logic and memory testing, followed by a four-week course called the “Pool” that selects a cohort for two years of training. The programme serves students aged “18 to over 50”, and eighteen months into the Tomorrow School it had trained 500 people. This month pools opened in 12 Kazakh regions, extending the pipeline outside the capital.
Astana Hub also runs an incubator that offers zero tax for residents and takes 1 percent of income to support the hub. Over eight years the cluster helped incubate Higgsfield; Astana Hub identifies Higgsfield as Kazakhstan’s first unicorn, a privately held company with a valuation exceeding $1 billion. Valeria Tio said the hub hopes to produce five unicorns by 2030.
Homegrown models and infrastructure: MagniSoz, Oylan and a supercomputer
University research groups are building local models to reflect Kazakh language and culture. The Institute of Smart Systems and Artificial Intelligence at Nazarbayev University developed MagniSoz, a model launched in December 2024 that works with text and audio in 11 languages, and an updated model, Oylan, that also handles images in English, Russian and Kazakh. Yerbol Absalyamov, the institute’s executive director, said the models were deployed on local servers and released open source to Kazakhstani users.
The researchers began the work after 2019 when mainstream assistants failed to recognise Kazakh; during the coronavirus year of 2020 they gathered voice recordings from local speakers to train the models. The institute framed its work around two principles: “AI for good” and “AI for Kazakhstan”, and it emphasises data residency by running the models on local infrastructure.
The institute says it was the first academic entity in Central Asia to operate a supercomputer, which supports training and inference workloads. That combination of local models, compute and open-source release is positioned as a way to preserve culture and keep data within the country while building practical tools for government and businesses.
State strategy, corporate pilots and tax incentives
The government has pitched AI as part of a modernisation and diversification agenda. President Kassym-Jomart Tokayev declared 2026 the “Year of Digitalisation and Artificial Intelligence” to accelerate adoption across public services, healthcare, taxation and energy. In 2025 Kazakhstan became the second jurisdiction after the European Union to pass a law governing AI, and the government approved an action plan that runs through 2029.
State-owned and private actors are testing governance and transparency models. Samruk-Kazyna’s experiment with SKAI (Samruk-Kazyna Artificial Intelligence) put an AI programme with voting rights on its board in late 2025; the fund says the move is intended to support transparency and governance. Companies in Astana Hub pay zero tax while resident startups contribute 1 percent of income to the hub’s development, a fiscal incentive intended to attract and retain teams.
Constraints: power, transparency and rights
Infrastructure and oversight are the main limits to the strategy. CAPS Unlock programme coordinator Tlegen Kuandykov pointed out that Kazakhstan still imports power at peak times and that much of its grid and plants are old. The plan to build large data centres has prompted questions because data centres need stable electricity and cooling; Kuandykov noted the ministry said cooling would use immersion systems rather than water but that no public assessment had been released.
Human-rights risks are the other constraint. Kuandykov said the new AI law contains protective language but that enforcement and public oversight were unclear. He warned biometric identification and facial-recognition technologies are being rolled out rapidly, a deployment track that raises privacy and rights questions without clear independent oversight.
| Item | Start / launch year | Scope / notes | Key figure |
|---|---|---|---|
| Astana Hub (Tomorrow School) | — | Free training, incubator, regional pools | 25,000 applications; trained 500 after 18 months |
| SKAI (Samruk-Kazyna AI) | Late 2025 | AI programme granted a voting board seat | First AI programme with voting rights at Samruk-Kazyna |
| MagniSoz / Oylan | MagniSoz launched December 2024 | Local LLMs focused on Kazakh language and culture | MagniSoz works in 11 languages |
| Higgsfield | Incubated over eight years | Video-generating startup described as Kazakhstan’s first unicorn | Valued at more than $1bn |
How Kazakhstan’s AI push could play out
The case for
- Wider skills pipelines and tax incentives could seed exportable startups, supporting the hub’s target of five unicorns by 2030.
- Local models and on-premise deployment keep data inside Kazakhstan and make AI outputs culturally specific, which may increase public adoption for services and government use.
The case against
- Grid constraints and ageing plants could limit data-centre scale if cooling and power needs are not resolved with transparent engineering assessments.
- Rapid deployment of biometric systems without clear oversight could trigger domestic and international human-rights scrutiny, complicating foreign investment and partnerships.
What to be careful about
- Electricity and cooling limits for large data centres, while peak imports continue and many plants and grids are old.
- Lack of published environmental and engineering assessments for planned data-centre cooling systems.
- Unclear enforcement and oversight of the 2025 AI law alongside rapid rollout of biometric identification and facial recognition.
The bottom line
Kazakhstan’s AI push pairs top-down policy with bottom-up skills and university research. The combination of a 2025 AI law, a ministry, tax incentives for hub residents and local models such as MagniSoz creates a credible pathway to regional relevance. That pathway remains conditional: it depends on reliable power and transparent infrastructure planning, enforceable safeguards around biometric and identification systems, and whether the training pipeline and incubator can convert talent into exportable companies. The government’s action plan through 2029 and Astana Hub’s target of five unicorns by 2030 will be concrete milestones that determine whether the country becomes a lasting regional AI centre.
What to watch
- monitor delivery against the government’s action plan that runs through 2029 and any published progress reports in 2027–2029; 2029 is the plan’s end year.
- watch whether Astana Hub reaches its stated goal of five unicorns by 2030, as Valeria Tio has set the target for that year.
Frequently asked questions
What is SKAI and when did it join Samruk-Kazyna’s board?
SKAI, or Samruk-Kazyna Artificial Intelligence, is an AI programme given a voting board seat at the sovereign fund in late 2025 and presented as a corporate experiment in governance and transparency.
How large are Astana Hub’s training pipelines?
Astana Hub says it received 25,000 applications, accepted less than 2 percent of those applicants, and the Tomorrow School had trained 500 people eighteen months into the programme.
What local AI models has Kazakhstan produced?
Nazarbayev University’s Institute developed MagniSoz, launched in December 2024 and working with text and audio in 11 languages, and an updated model named Oylan that adds image capabilities in English, Russian and Kazakh.
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