Summary

☀️ 1. Intelligence Infrastructure

• Build sovereign digital infrastructure: vector DBs, LLM pipelines, AI agents.

• Centered around DIA, NÚKIB, and Úřad vlády.

• Use open-source + national compute.

• Embed intelligence workflows across ministries.

• Drive decisions with real-time signal extraction.

☀️ 2. Strategic Foresight & Policy Simulation

• Institutionalize strategic forecasting and stress-testing.

• Establish National Foresight Lab under Úřad vlády.

• Simulate long-term scenarios (AI, climate, migration).

• Train ministries in futures literacy and adaptive planning.

• Integrate into annual strategy cycles and budget reviews.

☀️ 3. Mission-Oriented Governance

• Adopt challenge-based policy design like DARPA, ARPA-E.

• Define 10 national missions (AI health, reindustrialization, digital education).

• Drive cross-ministry collaboration via mission teams.

• Use TAČR, CzechInvest, and MPO as mission platforms.

• Track progress with outcome-based KPIs.

☀️ 4. Institutional Agility & Adaptive Capacity

• Reform ministries to operate with modular, cross-functional teams.

• Enable policy agility through emergency law templates and rapid response funds.

• Launch innovation sandboxes for experimentation (e.g., in tax, edtech, AI).

• Benchmark agility via Institutional Adaptability Score.

• Deploy capacity-building via ÚVS, MVČR, and MPO.

☀️ 5. Civic Trust & Participatory Feedback Loops

• Build national deliberation platforms (e.g., Czech Citizens’ Assembly on AI).

• Launch participatory policymaking tools (like Taiwan’s vTaiwan).

• Measure Civic Trust Index via Eurobarometer and national polls.

• Strengthen transparency across all digital government services.

• Involve civil society, academia, and youth in national strategy co-design.

☀️ 6. Systemic Risk Governance & Resilience

• Establish National Risk & Resilience Hub under MVČR or Úřad vlády.

• Maintain dynamic national risk register and simulation units.

• Conduct cross-sectoral stress tests and resilience audits.

• Monitor infrastructure interdependencies (health, transport, ICT).

• Align with EU Civil Protection and strategic autonomy initiatives.

☀️ 7. Talent Infrastructure & National Learning Ecosystem

• Launch AI-first curriculum reform via MŠMT.

• Build civic labs and retraining hubs in underdeveloped regions.

• Scale microcredential programs with universities and tech firms.

• Create entrepreneurial education agency.

• Fund regional excellence centers (e.g., Brno biotech, Ostrava automation).

☀️ 8. Sovereign Tech Capability & Economic Complexity

• Design National Tech Sovereignty Roadmap with MPO and TAČR.

• Invest in chips, compute, AI, biotech, clean tech.

• Build Czech equivalents of Fraunhofer/VTT innovation institutes.

• Increase export complexity through tech transfer hubs.

• Align procurement, education, and R&D funding with industrial strategy.

The Intelligence State

🔹 1. National Intelligence Infrastructure

🧭 Core Idea

The Czech state currently operates with siloed, fragmented data systems (e.g., ISZR, RPP, AISP, and sectoral databases). Decision-makers rely heavily on delayed or manual analysis, lacking real-time situational awareness. To build resilience and strategic adaptability, the government must construct a National Intelligence Infrastructure—a sovereign, secure, and integrated system of data flows, compute power, and AI models that supports sensing, understanding, and acting across all sectors.

🎯 Purpose

To give the Czech government the capacity to:

• Sense critical signals in society, economy, and environment in real time.

• Understand complex systems through data integration and simulation.

• Decide intelligently with AI-supported tools in policy, strategy, and operations.

• Learn across time using feedback loops and data from implementation outcomes.

✅ Key Priorities (Adapted for Czech Context)

1. Sovereign Cloud & Compute Infrastructure

   • Use and expand infrastructure like the National Data Centre (NDC) and NAP (Národní aplikační portál) run by NAKIT and partners like CZ.NIC.

   • Secure compute capacity for public-sector AI models (e.g., legal summarization, crisis modeling).

   • Prevent overdependence on foreign hyperscalers (AWS, Azure) for critical state functions.

2. Federated Data Lakes Across Government

   • Connect base registries (ISZR), tax records (FS), health data (ÚZIS), and statistical databases (ČSÚ) into a cohesive data platform with defined schemas and cross-sector access protocols.

   • Empower the Digital and Information Agency (DIA) to coordinate the semantic and operational interoperability across ministries.

3. Real-Time Data Pipelines and Strategic Dashboards

   • Provide the Government Office (Úřad vlády), ministries, and regions with real-time dashboards showing key indicators: health strain, labor flows, energy loads, supply chains, etc.

   • Pilot AI-supported dashboards with Czech Statistical Office, Ministry of Industry and Trade, and CzechInvest for economic monitoring and foresight.

4. Shared AI Model Hub for Public Sector

   • Build a state-operated platform for generative models, simulation engines, and NLP tools accessible to municipalities and state agencies.

   • Start with tools like ChatGPT-style copilots for legislation (Ministry of Justice), grant generation (MIT), or procurement analysis (Ministry of Finance).

5. Robust Identity and Access Management (IAM) Layer

   • Build on existing frameworks like eIdentita.cz and NIA to create a secure, multi-agency access layer for data and AI tools.

   • Implement logging and auditability to build public trust and meet GDPR and EU AI Act standards.

📌 Why It Matters for Czech Resilience

• Crisis Preparedness: During COVID-19, Czech institutions lacked real-time access to hospital strain, demographic vulnerability, or test logistics. This infrastructure fixes that.

• Competitiveness: Czech industrial and innovation policy is reactive. A unified data + AI backbone enables foresight-based economic strategy, e.g., tracking AI labor disruption or export dynamics.

• Sovereignty: Czech public systems currently rely on international software and infrastructure vendors. A national platform preserves control over strategic data and intelligence.

• Efficiency & Trust: Fragmented, manual decision-making weakens coordination. This infrastructure reduces latency, increases transparency, and allows civic interfaces to emerge.

📚 Adapted Insights from Key Works

• Transforming the Business of Government:
  Nations that treat data and intelligence as shared infrastructure increase institutional agility and reduce fragmentation. Czech ministries currently duplicate effort across silos. Shared data lakes and compute tools would save costs and time.

• The Algorithmic State Architecture (ASA):
  Without a foundational architecture, AI systems deployed in government will reinforce silos and increase opacity. The Czech Republic must first create a governance-by-design layer before deploying algorithms.

• Mazzucato’s Entrepreneurial State:
  Innovation policy must be intelligence-driven. A strong public backbone for data and AI enables Czech state to steer industrial transitions—especially in areas like automotive electrification, digital health, or quantum computing.

• AI Ethics and Governance in Practice:
  Public trust in AI systems requires transparency and control. Czech infrastructure design should bake in algorithmic auditability, citizen-facing interfaces, and participation mechanisms from the start.

🔹 2. AI-Augmented Public Governance

🧭 Core Idea

AI-Augmented Public Governance refers to the deep integration of artificial intelligence into policymaking, service delivery, and public administration—not as a tool of automation only, but as an intelligent partner enhancing human decision-making. For the Czech Republic, this means reimagining government workflows, institutions, and citizen interfaces so that AI becomes a co-governor, not merely a back-office assistant.

🎯 Purpose

To create a public sector that is:

• More adaptive: learns from data and outcomes to improve over time.

• More efficient: reduces duplication, speeds up decision cycles, and frees up human capacity.

• More inclusive: provides better services to all citizens, including underserved or rural populations.

• More strategic: uses simulations, forecasting, and sensemaking to design policy that works long-term.

✅ Key Priorities in Czech Context

1. AI-Centric Public Services

   • Integrate AI into Citizen Portals (Portál občana) for natural language interaction, personalized information retrieval, and form guidance.

   • Deploy large language models to help citizens understand tax rules, legal rights, or application forms—especially where literacy or access gaps exist.

2. AI-Augmented Policymaking Tools

   • Equip ministries with policy copilots that synthesize research, compare international benchmarks, or simulate the impact of legal changes.

   • For example: Ministry of Labour could use AI to simulate labor market policy changes; Ministry of Health could test cost/outcome scenarios of new care models.

3. Document and Process Automation in Government Agencies

   • Automate drafting of contracts, grant reports, and inspection summaries using custom GPT models across agencies like Ministry of Finance, Ministry of Education, and CzechInvest.

   • Combine this with document comparison, error detection, and summarization to reduce administrative burdens and increase document quality.

4. AI Training for Public Officials

   • Implement national training program (led by DIA or NPI in collaboration with universities) focused on AI fluency for civil servants, analysts, and leadership.

   • This should cover both use of tools (Copilot, ChatGPT) and risks/ethics in AI deployment.

📌 Why It Matters for Czech Republic

• Institutional Productivity: Public sector productivity in Czechia has stagnated for years. AI provides an opportunity to radically upgrade capacity without expanding headcount.

• Demographic Pressure: As population ages and workforce shrinks, AI enables the state to do more with fewer people.

• Civic Trust: Smarter, more responsive services rebuild public trust—especially when citizens receive faster and clearer responses.

• Policy Lag: Many Czech policies lag behind technological and societal change. AI can shorten feedback loops and allow government to course-correct faster.

📚 Insights Adapted from Literature

• From Transforming the Business of Government:
  “AI will redefine what public sector productivity means.” For Czechia, this means creating policy units with embedded AI tools to reduce strategy planning time and increase coordination between ministries.

• From Artificial Intelligence in Government:
  True AI integration requires changes to governance models—not just adoption of software. Czechia must create “AI operational cells” in key institutions (e.g. Ministry of Interior, MIT) that drive implementation and feedback loops.

• From AI Ethics and Governance in Practice:
  AI use in public administration must be guided by value alignment, procedural fairness, and transparency. All Czech public-sector LLM usage should have traceability, citizen oversight, and fallback human appeal mechanisms.

• From The Entrepreneurial State:
  Government can lead market creation by pioneering AI usage in domains like education, justice, and public health—pushing the private sector to catch up and cooperate. The Czech state should lead AI pilots, not follow private trends.

🔹 3. Strategic Foresight and National Sensemaking Capacity

🧭 Core Idea

The Czech Republic currently lacks an institutionalized foresight function with sufficient authority, continuity, and integration across ministries. This limits its ability to anticipate and proactively respond to long-term challenges like demographic shifts, AI disruption, geopolitical transitions, or environmental stress. Strategic foresight and sensemaking capacity must be institutionalized as a core governance function, enabling the Czech state to shift from reactive governance to anticipatory statecraft.

🎯 Purpose

To equip the Czech government with the capacity to:

• Detect weak signals and monitor emerging global and domestic trends.

• Develop future scenarios and test policies against them using simulations.

• Coordinate inter-ministerial responses to complex, cross-sectoral challenges.

• Incorporate long-term thinking into budgeting, legislation, and industrial strategy.

✅ Key Priorities (Czech Context)

1. Establish a Czech National Foresight Office (CNFO)

   • Modeled after Finland’s Parliamentary Committee for the Future or Singapore’s Centre for Strategic Futures.

   • Located under the Office of the Government (Úřad vlády) and working directly with DIA, ČSÚ, and relevant ministries.

   • Tasked with producing annual National Outlook Reports, scenario simulations, and coordinating foresight activities across government.

2. Develop Inter-ministerial Foresight Units

   • Each ministry (e.g. Industry, Education, Health, Labor) should have a dedicated foresight cell trained in trend analysis, horizon scanning, and scenario-building.

   • These units should coordinate with CNFO and feed into strategic plans and policy proposals.

3. Build Public Sector Simulation and Red-Teaming Capability

   • Partner with academic institutions like Charles University, Masaryk University, and CVUT to build policy simulation environments.

   • Use LLMs and agent-based modeling for testing reform designs, stress-testing policy ideas, and simulating crisis response (e.g., pandemic, AI disruption, energy blackout).

4. Institutionalize Long-Term Impact Assessments (LTIAs)

   • Require new legislation, budget proposals, or public investments to include a structured long-term impact section evaluated by CNFO and Supreme Audit Office (NKÚ).

   • This improves democratic accountability and policy quality.

📌 Why It Matters for the Czech Republic

• Post-Communist Legacy: Czech administration still largely functions on short-termism inherited from both central planning and post-1989 political volatility. This undermines resilience.

• Geopolitical Sensitivity: As a small open economy dependent on Germany, China, and global trade, Czechia is highly exposed to geopolitical shifts. Foresight buffers this exposure.

• AI & Tech Disruption: The country risks becoming a passive adopter of external innovation waves. Foresight enables it to shape its own technological future.

• Fiscal Planning: Czech debt levels are still moderate, but future obligations (pensions, healthcare) require scenario planning to avoid future shocks.

📚 Insights Adapted from Key Works

• Resilience in EU and International Institutions:
  Strategic foresight should not be a standalone process but be embedded into the legal, fiscal, and operational rhythms of government. Czechia lacks this integration—most strategy work is done as reports, not mechanisms.

• Transforming the Business of Government:
  AI-powered simulations and dashboards are becoming essential tools for resilience. Czech institutions should adopt LLMs and digital twins for ministries to visualize potential futures and policy pathways.

• Risk Governance: Coping with Uncertainty:
  Complex adaptive systems (like modern states) must invest in anticipatory capacity. Czech Republic should train civil servants not just in crisis response but in systemic risk anticipation and mitigation.

• Seeing Like a State (James Scott):
  The risk of authoritarian simplification rises when states lack nuanced understanding. Foresight functions provide counterweight to over-centralized, short-sighted policymaking by engaging with complexity and long-term tradeoffs.

🔹 4. Public Value Innovation and the Entrepreneurial State

🧭 Core Idea

Public value innovation is not just about digitizing services—it’s about rethinking the role of the state as an innovation driver. Inspired by Mariana Mazzucato’s concept of the Entrepreneurial State, this pillar calls for the Czech Republic to lead innovation, not just regulate or subsidize it. The state must shape markets, take strategic risks, and build mission-oriented capabilities—especially in health, green tech, AI, and education.

🎯 Purpose

To transform the Czech government from a passive administrator into a catalyst for innovation and public value creation, particularly in strategic sectors that markets underinvest in due to long timelines, uncertainty, or lack of short-term profit incentives.

✅ Key Priorities for the Czech Context

1. Mission-Oriented Innovation Agencies

   • CzechInvest should evolve from an investor support agency to a mission finance and development hub, similar to DARPA or Germany’s SPRIND.

   • Support should be tied to solving public challenges (e.g., climate adaptation, rural healthcare AI access), not just firm survival.

2. Public Sector Innovation Labs (PSILs)

   • Every ministry—especially Health, Education, and Environment—should have an innovation lab with discretionary budgets, embedded technologists, and freedom to run experiments.

   • Labs would partner with academia (CTU, VUT, MUNI) and startups to prototype policy interventions and digital tools.

3. Public Venture Mechanisms

   • Establish a Czech Public Venture Facility (under MPO) that co-invests with private sector in deep tech and public-good-oriented ventures.

   • Inspired by the SBIR model (USA) or the European Innovation Council (EIC). Must include patient capital, de-risking early innovation, and strict impact metrics.

4. Open Source and Commons Infrastructure Strategy

   • Promote state-funded open source development (e.g., AI tools for municipalities, legal automation), hosted on a national digital commons platform.

   • Can be coordinated via Digitální informační agentura (DIA) or NAKIT.

📌 Why It Matters for the Czech Republic

• Innovation Stagnation: While Czech R&D intensity is moderate (1.9% of GDP), much of it is locked in academic silos or subcontracting chains. Public-sector missions can break fragmentation and create momentum.

• Dependency on Foreign Innovation: Czechia risks remaining a passive user of imported platforms. Entrepreneurial state action can build sovereign innovation infrastructure.

• Regional Inequality: State-driven innovation can target lagging regions by building distributed digital hubs and health-tech pilots (e.g., Karlovarský, Ústecký kraj).

📚 Insights Adapted from Key Works

• The Entrepreneurial State (Mazzucato)
  Governments are already risk-takers—only they often hide it. Czechia must own that role strategically: funding high-risk, high-reward innovations, and defining success in terms of public value—not market exit.

• Transcript: Martin Wolf Interviews Mariana Mazzucato
  “We confuse fixing market failures with actively shaping markets.” For Czech Republic, the government should use procurement, regulation, and co-financing to create new market directions, especially in AI, green infrastructure, and health systems.

• Transforming the Business of Government
  Innovation isn’t about startup culture—it’s about institutional permission to experiment. The Czech public administration must be given innovation capacity and budgetary autonomy to run small, fast, iterative pilots.

• AI Ethics and Governance in Practice
  Public sector innovation must align with social trust, explainability, and democratic accountability—hence the need for transparency dashboards and citizen oversight mechanisms when deploying tech at scale.

🔹 5. Open Feedback, Civic Intelligence & Democratic Foresight

🧭 Core Idea

A resilient state is not built top-down but through dynamic interaction with its citizens. Civic intelligence—the collective capacity of citizens to reflect, deliberate, and influence public decision-making—is an underutilized strategic asset in the Czech Republic. To make governance both adaptive and legitimate, the state must systematize mechanisms for public feedback, participatory foresight, and inclusive deliberation.

🎯 Purpose

To equip Czech democracy with continuous feedback loops that improve:

• Policy legitimacy through public engagement.

• Social resilience by integrating diverse perspectives.

• Strategic intelligence from distributed expertise and citizen foresight.

• Institutional learning through iterative input-output cycles.

✅ Key Priorities in the Czech Context

1. National Civic Feedback Infrastructure

   • Build a government-wide platform for policy feedback and participatory consultation (potentially within DIA).

   • Must be linked to ministries’ legislative preparation and evaluation cycles (e.g., RIA processes), enabling asynchronous digital consultations and structured comment scoring.

   • Inspired by platforms like Better Reykjavik or Taiwan’s vTaiwan but tailored to Czech legislative tempo.

2. Deliberative Mini-Publics for Strategic Foresight

   • Institutionalize Citizens’ Assemblies on major reforms (e.g., AI use, pension policy, green transitions) via the Office of the Government or Senate.

   • Ensure inclusion through random sampling, demographic balancing, and expert moderation.

   • Outputs should have formal advisory weight and be published alongside government proposals.

3. Civic Education & Participatory Data Use

   • Use Czech Statistical Office (ČSÚ) and National Open Data portals to enable citizen-led exploration of public data (e.g., budget, environment, infrastructure gaps).

   • Embed data literacy into civic education curricula and community labs.

   • Support municipal participatory budgeting, especially in small towns and structurally affected regions.

📌 Why It Matters for the Czech Republic

• Democratic Fatigue: Czech civic trust in institutions is fragile. Recent crises (pandemic, energy, inflation) widened the distance between citizens and policy processes.

• Technocratic Overload: The government often over-relies on central expertise and fails to consult lived experience. This creates blind spots.

• Urban-Rural Divide: Civic feedback structures must reduce regional alienation by giving communities a voice in national direction.

• Digital Democracy Gap: Despite digitization efforts, digital democratic tools remain fragmented and underused—this is a missed opportunity for participatory resilience.

📚 Insights Adapted from Key Works

• Resilience in EU and International Institutions
  Civic participation is not a symbolic gesture but a structural asset. Systems that engage citizens in strategic discussions have higher policy coherence, buy-in, and agility in crises.

• AI Ethics and Governance in Practice
  Trust in government AI use can only be earned through transparency, consent mechanisms, and co-design. Czech digital reforms must include public oversight boards and open model reporting.

• Transforming the Business of Government
  Feedback and participatory infrastructure are key to service transformation. If citizens are treated as endpoints, the system cannot adapt. Treat them as co-designers.

• Emergency State (Adam Wagner)
  Crises tend to centralize power and weaken feedback. The Czech state must proactively build democratic muscle to preserve public trust and social cohesion under stress.

🔹 6. Systemic Resilience and Risk Governance

🧭 Core Idea

Modern risks are deeply interconnected, non-linear, and global—climate shocks, financial contagions, pandemics, cyber attacks. Resilience is no longer about bouncing back; it’s about absorbing shocks, adapting systems, and evolving forward. To manage this, the Czech Republic needs a unified, anticipatory, and adaptive national risk governance architecture.

🎯 Purpose

To develop a whole-of-government capacity that can detect, analyze, mitigate, and respond to complex and cascading risks—across domains like health, environment, technology, energy, and geopolitics.

✅ Key Priorities in the Czech Context

1. National Risk and Resilience Coordination Hub

   • Establish under the Ministry of Interior (MVČR) or as a dedicated office within the Úřad vlády.

   • Responsible for maintaining a national risk register, coordinating inter-ministerial responses, and running risk scenario simulations.

   • Would liaise with EU civil protection mechanisms and UNDRR frameworks.

2. Critical Systems Mapping and Interdependence Modelling

   • Map cross-sectoral dependencies (e.g., electricity–telecoms–banking–public safety).

   • Integrate into DIA’s IT infrastructure for real-time monitoring and failure impact prediction.

   • Use network-based resilience diagnostics (as described in the book Artificial Intelligence, Complexity, and Systemic Resilience in Global Governance).

3. Resilience Audits and Stress Tests of Public Services

   • Institutionalize regular resilience audits of core services (health, education, transport, digital) under the SAO (NKÚ) or a new unit under MPO or MMR.

   • Apply stress-testing based on plausible worst-case scenarios (e.g., what if AI systems fail during a cyberattack?).

   • Link results to policy reform and contingency budgeting.

📌 Why It Matters for the Czech Republic

• Fragmented Crisis Response: COVID-19, energy inflation, and supply chain disruptions showed lack of integration across ministries. Agencies worked in silos.

• No Integrated Risk Register: Different ministries handle different risks—there’s no central brain coordinating the big picture.

• Resilience as Growth Strategy: Nations that proactively build systemic resilience attract investment, talent, and trust—key to long-term competitiveness and security.

• EU Civil Protection & Recovery Funds: Better risk governance architecture will enable Czechia to mobilize and align EU resilience funds more strategically.

📚 Insights Adapted from Key Works

• Artificial Intelligence, Complexity, and Systemic Resilience in Global Governance
  Systemic resilience depends on adaptive institutions, cross-domain modelling, and feedback loops. Czechia must embed AI-enabled early warning systems and multi-layer simulation capabilities across governance.

• Risk Governance: Coping with Uncertainty in a Complex World (Ortwin Renn)
  Risk isn’t just about probability—it’s about societal perception, institutional readiness, and interconnected vulnerability. Czech policy must shift toward deliberative risk governance that includes public, scientific, and political perspectives.

• Transforming the Business of Government
  Risk resilience isn’t only technical; it’s organizational and cultural. Ministries must be encouraged to experiment, simulate, and plan for uncertainty—not just operate on compliance logic.

🔹 7. Talent Infrastructure and National Learning Ecosystem

🧭 Core Idea

Resilience in the intelligence age will be determined by a nation’s human capital adaptability. Czechia must transition from a passive knowledge consumer to an active talent incubator, capable of continuously developing, retraining, and empowering its population across sectors. The goal is not just education reform—it’s building a dynamic national learning infrastructure that fuels innovation, sovereignty, and economic complexity.

🎯 Purpose

To establish a lifelong, adaptive, and innovation-ready talent base by:

• Strengthening national capacity for continuous upskilling and reskilling.

• Creating strong links between education, research, and the economy.

• Reducing talent leakage and regional inequalities.

• Embedding AI and digital skills across sectors.

✅ Key Priorities in the Czech Context

1. AI-First Education & Retraining Strategy

   • Deploy a national upskilling mission through the Ministry of Education (MŠMT) and MPO, with focus on AI literacy, critical thinking, and applied digital skills.

   • Partner with Czech companies and universities to create modular, stackable microcredential programs.

   • Emulate Estonia’s approach to AI fluency for all public servants and Finland’s open AI education programs.

2. Civic & Entrepreneurial Learning Networks

   • Scale programs like Eduzměna and Učitel naživo to embed creativity, collaboration, and entrepreneurship into primary/secondary schooling.

   • Support civic labs and hackathons in structurally disadvantaged regions (e.g., Ústecký, Moravskoslezský).

   • Introduce a National Agency for Entrepreneurial Learning, modeled after Israel’s Start-Up Education mission.

3. Talent Pipeline Hubs (Centres of Excellence)

   • Build regional innovation hubs (Zlín, Brno, Ostrava) with universities and companies to retain top talent.

   • These should integrate research, startup incubation, and applied learning (based on Germany’s Fraunhofer model).

   • Ensure synergy with European Digital Innovation Hubs (EDIH) and CzechInvest infrastructure.

📌 Why It Matters for the Czech Republic

• Talent Drain: High-performing students often leave Czechia for better opportunities. Without retention pipelines, innovation potential is lost.

• Aging Workforce: Czech labor market is facing a demographic cliff. The existing workforce must be reskilled for AI-enabled industries.

• Regional Divide: Most innovation and education hubs are Prague-centric. Regional learning ecosystems are essential for national cohesion.

• Low PISA Scores in Key Skills: Czech students perform below OECD average in creative problem-solving and digital reading.

• Industry Demands Are Evolving Rapidly: Firms in automation, AI, cybersecurity, and green tech require skills that schools don’t yet teach.

📚 Insights Adapted from Key Works

• The Entrepreneurial State (Mariana Mazzucato)
  A resilient talent strategy isn’t about passive markets—it’s about mission-oriented state leadership. Czechia must actively shape the skills needed for future industries, not just subsidize them.

• Transforming the Business of Government
  Public sector can no longer be a skills backwater. Investing in adaptive learning capacity across ministries is critical for policy responsiveness.

• Resilience and Human History
  Civilizations that endure aren’t the ones with fixed education models, but those that continuously evolve knowledge systems to meet emerging threats and possibilities.

• Resilience in EU and International Institutions
  Education must serve as both a resilience buffer and a forward strategy, integrating digital tools, foresight, and civic capacity into curricula.

🔹 8. Sovereign Technology Capability & Economic Complexity

🧭 Core Idea

Long-term national resilience demands technological sovereignty and economic complexity. The Czech Republic must not remain a mere assembly economy dependent on foreign supply chains and IP. It must cultivate strategic control over key technologies (AI, semiconductors, biotech, energy storage) and move up the global value chain through targeted industrial policy and innovation ecosystems.

🎯 Purpose

To ensure that the Czech economy is:

• Resilient to geopolitical and technological shocks.

• Able to create, not just adopt, frontier technologies.

• Capable of reconfiguring its economic structure to boost productivity and value creation.

✅ Key Priorities in the Czech Context

1. National Sovereign Tech Roadmap

   • Develop under Ministerstvo průmyslu a obchodu (MPO) in coordination with TAČR, CzechInvest, and Úřad vlády.

   • Focus on strategic autonomy in:

     • AI models and compute infrastructure.

     • Energy systems and storage.

     • Microelectronics, advanced materials, and synthetic biology.

   • Use mission-driven investment similar to South Korea’s Moonshot Projects or France’s “Choose France” initiative.

2. Boosting Economic Complexity through Strategic Clusters

   • Identify and fund high-potential sectors (e.g., medical tech, robotics, cybersecurity, quantum sensing).

   • Empower regional tech ecosystems (e.g., Brno for life sciences, Ostrava for automation) with tech-transfer platforms, venture capital, and state procurement.

   • Coordinate with Czech Academy of Sciences and VŠB, ČVUT, and Masaryk University.

3. Public AI & Advanced Tech Labs

   • Build state-led innovation centers similar to Finland’s VTT or Germany’s Fraunhofer Institutes.

   • Focus on generative AI, chip design, cryptography, biotech tools, robotics, and climate tech.

   • Embed state capacity into pre-competitive research, open-source infrastructure, and sovereign alternatives to foreign platforms.

📌 Why It Matters for the Czech Republic

• Vulnerability to Tech Dependence: The Czech Republic lacks domestic capabilities in foundational technologies (cloud, chips, AI). This threatens digital sovereignty and industrial security.

• Export Reliance on Low-Complexity Goods: Automotive and industrial manufacturing dominate, but high value-add segments are foreign-controlled. Czechia must break the dependency trap.

• Geopolitical Fragmentation of Tech: With rising US–China–EU bifurcation, Czechia must define its strategic tech alliances and competencies.

• Public Sector as Market Shaper: The state must not just fix market failures, but actively shape markets where private sector is too slow or risk-averse.

📚 Insights Adapted from Key Works

• The Entrepreneurial State (Mariana Mazzucato)
  States like the U.S. and China became tech leaders not by stepping back—but by stepping up. Czechia must use mission-driven innovation policy to build sovereign capabilities in AI, energy, and bioindustries.

• Transforming the Business of Government
  Technological strength is now a governance imperative. Countries that lack core compute, data, and sensing capabilities will be governed by foreign systems.

• The Algorithmic State Architecture
  States should create infrastructure-level AI systems, not rely on black-box foreign APIs. Czechia needs a national compute fabric and open-source AI stack to preserve agency.

• EU Resilience & International Institutions
  The EU is pushing for digital sovereignty, but Czechia must internalize this agenda by aligning its procurement, research funding, and industrial planning.