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Kazakhstan vs Uzbekistan: The AI Race That European Policymakers Are Quietly Watching

Kazakhstan vs Uzbekistan: The AI Race That European Policymakers Are Quietly Watching

Two Central Asian neighbours are pursuing radically different paths to AI leadership: one is building supercomputers and hosting international conferences, the other is embedding biometric governance into daily life at scale. European regulators and digital strategists have strong reasons to pay close attention to both models.

Central Asia is running one of the most instructive AI competitions on the planet, and almost nobody in Brussels or Whitehall is talking about it. Kazakhstan and Uzbekistan are each staking their economic futures on artificial intelligence, but they are pursuing strikingly different strategies. One is pouring investment into visible infrastructure: supercomputers, research centres, international tech conferences. The other is embedding AI-driven governance so deeply into daily life that citizens barely notice the technology underpinning it. For European policymakers wrestling with their own questions about AI investment priorities, digital identity, and sovereign technology, the contrast could not be more instructive.

[[KEY-TAKEAWAYS:Kazakhstan ranks 86th globally on the TOP500 supercomputer list with its NVIDIA H200 cluster|Uzbekistan's MyID biometric system has processed 130 million authorisations across 14.5 million users|Both nations are pursuing digital sovereignty, building homegrown alternatives to Western platforms|The competition offers a live test of two competing models of AI leadership: infrastructure versus integration|European regulators developing eIDAS 2.0 frameworks have direct reasons to monitor Uzbekistan's deployment speed]]

Kazakhstan's Play: Infrastructure and Visibility

Kazakhstan's approach is a full-throated embrace of AI ambition dressed in concrete and silicon. Alem.ai, the International AI Centre operating from Astana, has become the nation's flagship institution. The facility houses a supercomputing cluster built on NVIDIA H200 processors, powerful enough to place 86th globally on the TOP500 list. That is a credible position for a country of 19 million people. The government has committed to training 1,000 AI specialists annually and has set a broader target of creating 100 domestic AI startups. A homegrown multilingual large language model, KazLLM, now powers local applications, serving as a sovereign alternative to Western-built models.

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All of this sits inside Kazakhstan's "2026 Year of Digitalisation", a government-wide push to thread digital transformation through every sector of the economy. By 2025, the state had already deployed 54 million eGovernment services. IT exports have reached approximately USD 1 billion annually, supported by a workforce of 200,000 digital workers, including 20,000 AI specialists.

A wide-angle editorial photograph taken inside a European high-performance computing facility, such as the LUMI supercomputer centre in Kajaani, Finland, or the Juelich Supercomputing Centre in German

The centrepiece of Kazakhstan's international ambition is GITEX Central Asia, arriving in Astana from 2 to 4 June 2026 for its inaugural edition. Organisers expect up to 1,000 international visitors, modest by the standards of events such as VivaTech in Paris or Web Summit in Lisbon, but a clear signal that Astana intends to position itself as a regional tech showcase. Astana's Smart City project is meanwhile deploying AI analytics systems supplied by local firms, with 60 per cent of contracts going to domestic providers. Presight Kazakhstan is channelling technology transfer into the local ecosystem, mirroring approaches that European cluster programmes such as those run under the European Innovation Council have long championed.

The strategy is legible to anyone who has watched the playbook deployed in European digital hubs. Build credible infrastructure, attract international talent and capital, and use conference diplomacy to shift perceptions. It is not unlike the logic behind Finland's push to make Helsinki a northern AI hub, or the French government's backing of Mistral AI as a sovereign model champion. Lena Lundqvist, a senior digital policy analyst at the Stockholm-based research institute RISE Research Institutes of Sweden, has noted that the real test for such strategies is whether the infrastructure translates into durable industrial capability rather than prestige assets that age quickly.

Uzbekistan's Approach: Quiet Depth Over Flashy Scale

Uzbekistan is demonstrating that soft power sometimes matters more than hardware. The nation's digital ambitions are anchored in MyID, a biometric identity system that has onboarded 14.5 million users and processed 130 million authorisations. MyID connects 28 banks and 17 payment systems, making it deeply embedded in daily economic life. In February 2026, the country introduced OneID auto-registration, reducing friction for new users. More significantly, mandatory biometric SIM card verification came into force in January 2026, making MyID not optional but foundational to digital identity across the population.

This is not flashy; it is penetrating. While Kazakhstan invests in AI centres and ranked supercomputers, Uzbekistan is making digital governance so seamless that citizens barely notice the infrastructure beneath it. The IT Park hub in Tashkent remains a crucial innovation anchor, even if recent expansion figures have been less prominently publicised.

The deployment speed here demands European attention. The EU's revised eIDAS 2.0 regulation, which compels member states to offer digital identity wallets by 2026, has already encountered implementation delays across several member states. Uzbekistan, by contrast, has moved from biometric pilot to mandatory national infrastructure in under two years. Lukasz Olejnik, an independent cybersecurity researcher and adviser on digital policy who has contributed analysis to EU institutions, has argued in published commentary that the operational gap between policy ambition and deployment execution is the defining challenge for European digital identity programmes. Uzbekistan's execution record makes that point sharply.

An editorial photograph depicting a digital identity verification kiosk or biometric onboarding terminal in a contemporary European public-sector setting, such as a local government service centre or

Two Models, One Region

Both nations serve roughly 80 million people combined, yet their competition raises a genuine strategic question: what matters more, hosting prestigious conferences and building world-class AI research facilities, or embedding governance systems so deeply into a population that the technology becomes invisible infrastructure? The honest answer is that both matter, but they signal fundamentally different national priorities.

Kazakhstan is making a public-facing bet on becoming a regional hub for AI research, talent development, and international collaboration. It is betting that visibility and infrastructure will attract investment and skilled workers. Uzbekistan is making a quieter, but arguably more consequential bet: that controlling digital identity and integrating digital governance seamlessly will create economic resilience and citizen trust that outlasts any single piece of hardware.

Both nations are acutely aware of digital sovereignty, the principle that control over your own digital systems is as strategically important as control over physical resources. KazLLM and MyID are homegrown alternatives to global AI platforms and identity systems. Neither country wants to be merely a consumer of technology built in San Francisco or Shanghai; both want to be producers. European readers will recognise the framing immediately: it is precisely the argument that drove the EU's AI Act, the European Chips Act, and the political backing for Mistral AI in France.

A direct comparison of the two strategies illustrates the divergence clearly:

  • Kazakhstan: flagship AI centre with globally ranked supercomputer; KazLLM sovereign language model; GITEX Central Asia conference; 200,000 digital workers; USD 1 billion in annual IT exports
  • Uzbekistan: MyID biometric platform with 14.5 million users; 130 million authorisations processed; integration with 28 banks and 17 payment systems; mandatory biometric SIM verification from January 2026

What This Means Beyond the Region

If Kazakhstan's model succeeds, Central Asia becomes a hub for AI research and development, attracting investment from global firms seeking regional offices and from multilateral bodies looking for emerging-market partners. If Uzbekistan's model succeeds, the region becomes a reference point for governance-first digital economies, a model that developing nations across Africa, South Asia, and even parts of southern Europe with lagging digital infrastructure will study carefully.

The competition itself produces useful outcomes regardless of which strategy ultimately proves more durable:

  1. Both nations are increasing investment velocity, meaning infrastructure and governance capabilities improve faster than either would manage in isolation.
  2. The race is generating real deployment data on sovereign AI models and large-scale biometric identity systems, data that European researchers and regulators currently lack from comparable contexts.
  3. Neither outcome is zero-sum. The region is large enough for a research hub and a governance leader to coexist, even to complement each other.
  4. Success in either domain sets a replicable template, and European development finance institutions, including the European Bank for Reconstruction and Development, which is active in both countries, are well placed to channel that learning back into EU policy.

There is one more variable worth watching: execution discipline. Kazakhstan has the infrastructure and the international partnerships; Uzbekistan has the scale and the integration speed. Kazakhstan's supercomputers and AI centres are impressive on paper. But Uzbekistan's demonstrated ability to deploy systems across 14.5 million users, integrate with the banking sector, and make mandatory biometric verification function at national scale speaks to operational maturity that raw compute rankings cannot capture. Neither nation has yet hit the kind of high-profile stumble that would definitively reframe the race, which means both will continue pushing harder into 2026 and beyond.

Updates

  • published_at reshuffled 2026-04-29 to spread distribution per editorial directive
AI Terms in This Article 6 terms
embedding

Converting text or images into numbers that capture their meaning, so AI can compare them.

AI-driven

Primarily guided or operated by artificial intelligence.

world-class

Of the highest quality globally.

ecosystem

A network of interconnected products, services, and stakeholders.

digital transformation

Adopting digital technology across a business.

compute

The processing power needed to train and run AI models.

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