Universities After AI: How Will Universities of Central Asia Take the Challenge?

Pavel Luksha

15 April 2026

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Central Asian universities currently have a very favorable position

“Late comers”

“Regional dividend”

• Most universities established in the last 30 years
• Templates for creating a good university have been refined since post-war higher education massification
• Credentials & ranking systems set clear standards

• Demographic dividend: growing working population (+20 Mil in next 30 years), one of largest shares of young population: 35% vs 16% in Europe
• Urbanization dividend: regional share of urban population will grow to 61%, >65% increase in next 30 years, urban population in Tajikistan grows +2.5% (one of the world’s highest)
• Modernization dividend: 6-8% GDP growth, ICT sector grows x3-4 times faster (e.g. Uzbekistan: +24% in 2025)

But in the next 5-7 years it can be seriously undermined

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The rupture of global geopolitical order

70+ armed conflicts around the world in 2025�(record-breaking since the end of WW2)

US-Iran war: unforeseen �strategic consequences

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Breaking down of the international order that made the modern university possible

1. The global systems designed to hold humanistic & collective flourishing values (UN institutions, Declarations of Rights, climate change alliances) are at their weakest point since their creation
2. SDG remain massively underfunded in 2020s: $4T annual gap, only $400B funded, despite $450T capital available – with further slowdown in 2024-25
3. Investment flows towards defense, dual-use technologies, and AI competitiveness, while programs towards human flourishing and epistemic diversity are defunded (esp in the EU / US)
4. Surge of nationalism and democratic erosion across the world - reshape what universities are permitted to be
5. The postwar institutional order that made free inquiry possible (political protection of academic freedom, international mobility of knowledge & scholars, insulation from state “instrumentalizzation:”) is actively destroyed by players that earlier sponsored it

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New beacons: the world is no longer US / EU centered economically – or even intellectually

China is a dominant trading partner for the majority of world’s population

.. and it has overtaken US in cutting-edge research across critical fields such as AI

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Long-term stability is no longer associated with Euro-Atlantic world

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This is where AI enters the game – and we still don’t know how disruptive it can be – and everything is so fast

January 2026: Claude code moment �(beyond “vibe coding”)

OpenClaw madness in China

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Organizations / economies as systems �of tasks that can be gradually �automated by agent solutions

Agency = ability to act autonomously�(reach human level of autonomy) �in specific tasks

Autonomous agents are getting ready to take over significant portions of specialist’s work

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All cognitive labor is exposed

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Youth & early career professionals are most impacted

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Fundamentally, AI transforms the cognitive infrastructure of the society. Knowledge – and ability to create it – will no be longer a deficit

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Universities cannot keep their familiar course of action: observing & gradually adapting to a new technology

AI ADAPTATION

Universities

AI

Universities

AI TRANSFORMATION

Economy & society

Economy

AI

VS

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What breaks down for graduates: identity & credentials

IDENTITY: �Will I be needed in the future?

CREDENTIALS: �Will my diploma count?

+40% job postings across major economies on LinkedIn dropped degree requirements (only competencies)

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Major tech employers (IBM, Google, Tesla, “Big Four”) publicly dropping degree requirements

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Only 36% US adults have confidence in higher education in 2025, from 57% in 2015

39% skills will be disrupted or become obsolete in 5 years (WEF 2025)

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16% decline in employment of entry level workers (22-25) in AI-exposed areas in 2024-25 compared to less exposed

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+210% anxiety growth in 2022-26 in top quartile (most skilled workers) vs +45% bottom quartile (less skilled), first time in 50 years

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Achilles and the Tortoise: if you try to prepare for what you see now – you are already late

AI CAPABILITY CYCLE

EMPLOYER DEMAND CYCLE

UNIVERSITY PROGRAM CYCLE

GOVERNMENT POLICY CYCLE

5-10 years

6-12 mo

12-18 mo

2-4 years

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The question of AI adaptation is especially painful for the not-first-league

• 80–85% of the world's 25,000 universities are mid-tier or resource-constrained. They serve the majority of the world’s 264 million higher education students — 60-70% in emerging economies first-generation learners outside the English-dominant knowledge ecosystem.

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• The top AI labs committed over $300 billion to compute infrastructure in 2025. Yet these tools remain trained predominantly on an English-centric cultural corpus, creating a 'reasoning tax' for the rest of the world

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• The annual budget of a typical mid-tier university ($20–50M) is less than 1% of the cost to train a single frontier AI model. Their advantage? They have no 'legacy' ivory tower to protect—they can pivot to AI-first learning faster than the elite.

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Situation of Central Asian higher education?

• The majority of graduate jobs your universities prepare for are in high exposure zone: financial services (accounting, banking etc.), marketing, IT, office administration, foreign language teachers�
• Migration opportunities are closing: Russian economy is increasingly destabilized by the war and sanctions, migration laws are tightening in new regions including the EU and East Asia

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• Demographic collision: the largest junior workforce in CA history will enter the markets as opportunities for entry level cognitive jobs will begin to close in 2027-30

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• Legitimacy “downward spiral”: AI tools getting good enough that students & employers question “can university deliver on their promises” – the crisis enhanced by assessment system degradation
• Hindered pedagogical transformation: lecture-centered structure around which universities are built makes necessary changes in pedagogy, assessment, and faculty skills almost impossible
• Platforms as direct competition: anticipated transformation of AI systems into actual learning platform is implicitly happening, and professional education is expected to begin losing labor market authority, while university leadership is uncapable of making strategic choices required
• Global fragmentation: rise of sovereign AI platforms within macroblocs sets learning & research standards that begin quiet divide of global higher education field & erosion of global standards

Findings of the “Universities after AI” foresight: �the crux of universities

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AI does not just bring new tools into education – it exposes assumptions that no longer hold:

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• that knowledge is scarce and professors exist to transmit it, �
• that students should be tested individually and without tools, �
• that degree reliably proves someone can do something valuable.

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These assumptions fail at the same time - faster than institutions can respond. �This forces a question universities avoided for decades: what are we actually for?

Legitimacy crisis is about to unfold in higher education – it can take the next 5-10 years, but conditions are here

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What universities could do: increasing the relevance by changing pedagogies, assessment models, etc

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From Training (graduates for known labor market) �to Formation (capable humans for uncertain world)

Metacognition and critical reflection (AI-inclusive)

Hybrid human-AI fluency

Systems thinking

Ethical integrity

Relational & communicative intelligence

Psychological resilience �& self-regulation

Identity integration

NEW �“UNIQUELY HUMAN”�CURRICULUM�CORE

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Emerging archetypes for second tier universities

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“With AI-driven personalized learning, universities are losing their monopoly on knowledge transmission. As knowledge becomes hyper-accessible, universities must shift their focus from credentialing to transformation, mentorship, and community-based learning.

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.. In a world where AI can generate knowledge but lacks intrinsic meaning, universities … will no longer be knowledge factories, but sanctuaries for wisdom, ethical leadership, and human flourishing.

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Pavel Luksha, Francois Taddei� “Planetary Mission of Universities” (April 2025)

New (or rediscovered?) mission of universities

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Rise of non-Western worldviews: an opportunity

• AI thinks in English – but the world doesn’t: 85% AI training data is in English, implying that dominant AI tools reason, structure arguments & generate knowledge within Anglo-Saxon conceptual framework. AI tools based on non-Western cultural codes & patterns are needed – and Central Asian universities could provide them
• Questions that Western universities cannot answer: from creating conditions for human flourishing - to learning to bridge scientific inquiry & spirituality – to learning from traditional ecological knowledge of nomadic cultures – Central Asia has many answers and solutions that AI supported work of local universities can bring into spotlight.
• Geopolitical reordering is a window, but it won’t stay open for long: with world order reshuffling, penalties for deviating from Western university standards lower, allowing Central Asian universities to begin search for their unique model in the AI rich & geopolitically fragmented future

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Conclusion: AI driven university transformation is an opportunity to leapfrog

• AI driven transformation could be one of the most radical things that ever disrupted a university model – and it happens too fast

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• The counterintuitive answer is to focus on human formation: become the sanctuary of slow & deep thinking and feeling that forms people capable to work with next generations of rapidly evolving AI, not be replaced by it�To do it, universities need to directly and actively engage with AI

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• Central Asian universities do not have to always be outliers or followers that copy Western university templates – the transformation allows them to define a regional model of “university after AI” that is rooted in local values & culture and connected to local communities – while producing globally relevant research & competitive graduates