Czech Republic: AI Policy Brief — Sustaining Central Europe’s Competitive Advantage

Czech Republic in 2026 faces a paradoxical policy challenge: you are the AI adoption leader in Central and Eastern Europe (48% of firms deploying generative AI vs. 37% EU average), your research institutions are world-class (Charles University, Brno University, CIIRC CTU), and your companies—Gen Digital, Prusa, Rohlik, E2B—compete globally. Yet your economy is simultaneously vulnerable to structural disruption: automotive (10% of GDP, 6.2% of employment) faces EV transition pressures that threaten 15,000-25,000 jobs; your manufacturing base (24% of employment) depends on cost advantage that AI-driven automation in Western Europe threatens to eliminate; and your labor supply is aging (median age 42.5) while talented youth emigrate seeking higher wages. The strategic policy question is whether Czech Republic can transition from “manufacturing outsourcer for Western Europe” to “AI-driven innovation economy for Europe,” or whether you’ll become a middle-income trap with aging infrastructure and shrinking workforce.

Economic Exposure Assessment

Automotive and Components (10% of GDP, 6.2% of employment, 620,000 people): Skoda Auto is Czech Republic’s largest industrial company and a barometer of health. The company is transitioning from 30% EV sales in 2025 to 50% in 2026 and 70% by 2030. EV drivetrains have 80-90% fewer parts than ICE drivetrains. This means Skoda itself faces employment pressures (though the company is committing to no mass layoffs, only natural attrition and retraining). More critically, Skoda suppliers face disruption: traditional transmission suppliers will lose 60-80% of their business by 2030. The tier-1 and tier-2 supplier ecosystem employs 500,000+ across Czech Republic, Slovakia, Poland, and Hungary. A strategic question: can Czech suppliers transition to EV components faster than suppliers in Poland or Hungary? If not, component manufacturing capacity may migrate westward.

Manufacturing (24% of employment, 1.2 million people): Czech Republic's manufacturing base is highly integrated into EU supply chains. The primary threat: AI-driven automation in Germany, Austria, and Western Europe will reduce outsourcing demand for labor-intensive manufacturing. A Czech manufacturer competing on labor cost faces pressure as Western European manufacturers use AI to make high-wage production economically viable. A Czech manufacturer competing on quality and precision (Prusa's model) can differentiate. The secondary opportunity: AI-driven manufacturing in Czech Republic could offset wage pressures if companies invest in robotics and AI systems. Prusa's model—high precision, high wages, AI-driven efficiency—proves this is possible at scales up to EUR 160M+ in revenue.

Financial Services and Banking (180,000 formal jobs): Czech banking is less disrupted than Western European banking because AI adoption in Czech banks lags behind German or Austrian banks. However, this is a temporary advantage. As fintech adoption increases and AI credit scoring becomes standard, Czech banking employment will shift from transaction processing to relationship management and risk expertise. Net employment impact: moderate negative (10,000-15,000 jobs), but with upskilling opportunities.

Software and IT Services (150,000 people): This is Czech Republic's strategic advantage sector. The 470+ startups in Prague, the presence of E2B ($21M Series A), Kiwi.com ($1.8B valuation), and Gen Digital ($3.94B revenue) create a gravitational pull for talent and investment. AI-native companies (E2B's autonomous agents, AI-driven fintech, logistics AI) are being built in Prague and recruiting globally. This sector will likely see net job creation through 2030, with the primary challenge being talent shortage, not labor displacement.

Workforce Impact by Sector

Key policy insight: Czech Republic faces net employment loss of roughly 70,000-120,000 jobs through 2030 from AI, offset by 15,000-25,000 gains in software/AI sectors. This is 1-1.5% of total employment—manageable through reskilling and redeployment, but politically sensitive given that manufacturing towns will see visible job losses while software jobs concentrate in Prague and Brno.

Current Policy Assessment

National AI Strategy (CZK 19B / EUR 800M through 2030): Czech Republic announced an AI strategy with CZK 19 billion in investments. The program includes R&D funding, digital infrastructure, and workforce development. However, implementation has been slow. As of March 2026, only CZK 3.2 billion has been allocated. The program lacks dedicated automotive transition support and doesn’t explicitly address manufacturing sector AI transformation.

Research and Innovation Excellence: Charles University, Brno University of Technology, CTU Prague, and CIIRC represent world-class AI research infrastructure. Charles University's OpenEuroLLM project (20 European institutions) is building open-source AI in European languages. CIIRC is developing industrial AI applications (digital twins, robotics). However, the translation from research to commercial application remains weak. Czech academic AI excellence isn’t consistently converting to Czech startup success at the scale of Western European AI startups.

Startup Ecosystem: Prague's 470+ startups and 185.75% AI funding growth signal strong momentum. However, total AI funding (USD 248M raised) remains small compared to Berlin (€1.5B+ annually), UK (£2B+ annually), or France (€3B+ annually). Czech Republic lacks a mega-funded AI company (Series C+) that could anchor the ecosystem. E2B's USD 21M Series A is the largest recent round, but this is Series A capital, not the hundreds-of-millions in Series C/D rounds that create major employers.

Labor Policy and Emigration: Czech Republic faces net emigration of 15,000-25,000 people annually, with higher rates among highly educated workers. Salaries in Czech Republic (even AI salaries of CZK 3-4M annually) don't compete with Western European offers (EUR 150,000-250,000). The government hasn't implemented explicit retention policies for high-skill workers (e.g., tax incentives for AI engineers, visa fast-tracking for international AI talent).

What Peer Countries Are Doing

Germany: AI funding of €5B+ annually, with explicit AI manufacturing integration. Bavaria and Baden-Württemberg are leading in AI-driven automotive and precision manufacturing. Germany's advantage: capital, scale, established industry relationships. Czech disadvantage: smaller capital pool, smaller industrial base.

Poland: AI funding of €500M+ annually, growing faster than Czech Republic's nominal allocation. Warsaw has 600+ tech startups (vs. Prague's 470+). Poland's advantage: larger workforce, lower wages, growing manufacturing outsourcing from Western Europe. Czech disadvantage: Poland is winning outsourced manufacturing, not innovation.

Israel: AI funding of $2B+ annually (on a population of 9M, vs. Czech 10.5M). Israel has created a $100B+ AI and defense tech ecosystem through explicit government support, massive R&D tax incentives, and strategic industry partnerships. Czech approach is passive by comparison.

Policy Recommendations

1. Launch an Automotive Transition Fund (CZK 15B / EUR 630M, 2026-2030)

Create a dedicated fund supporting EV component suppliers through transition. Fund includes: (a) Grants for tooling and retooling (CZK 200M-CZK 800M per company for suppliers with 200+ employees), (b) Low-interest loans for EV R&D, (c) Workforce retraining subsidies for workers transitioning from ICE to EV supply. Partner with Skoda, Hyundai Czech Plant, and other OEMs to identify priority transition needs. This prevents supplier collapse while maintaining industrial capacity.

2. Establish an AI Talent Retention Program (CZK 4B / EUR 168M, 2026-2030)

Counter emigration of top AI talent through: (a) Personal income tax reduction for AI engineers (e.g., 10% reduced rate for AI specialists earning above CZK 3M annually), (b) R&D company tax incentives (25% reduction for companies with 30%+ of payroll in AI/ML roles), (c) Fast-track visa program for non-EU AI talent (enabling Czech companies to recruit globally without visa restrictions). The cost (CZK 4B) is offset by retaining entrepreneurs and engineers who would otherwise create jobs in Germany, Switzerland, or US.

3. Accelerate Manufacturing AI Adoption (CZK 6B / EUR 252M, 2026-2030)

Provide matching grants for manufacturing AI investments: (a) Small companies (50-200 employees): 50% grant for AI automation projects up to CZK 30M, (b) Medium companies (200-1,000 employees): 40% grant up to CZK 100M, (c) Large companies: 20% grant for export-oriented AI projects. Tie grants to: measurable productivity improvement, job quality improvement (wage increases), and environmental impact. Prusa's model proves that AI + manufacturing can generate EUR 160M+ revenue; this program enables more companies to follow that trajectory.

4. Scale Open-Source European AI Research (CZK 3B / EUR 126M, 2026-2030)

Fund Charles University's OpenEuroLLM project and CIIRC's industrial AI research at global scale. Objective: make Czech Republic a research hub for European AI, competing with UK, France, and Germany for both EU and private funding. Create incentives for EU AI companies (those receiving EU AI Act funding or operating in EU AI sandboxes) to do R&D in Czech Republic. The EU AI Act sandbox mentioned for 2026 creates opportunity: position Czech Republic as a preferred sandbox location.

5. Support Startup Growth From Series A to Scale (CZK 8B / EUR 336M, 2026-2030)

Czech Republic produces startups (E2B, Kiwi.com, etc.) but loses them at Series A or B when they relocate to Berlin, London, or SF for capital access. Create a Czech AI Growth Fund with: (a) EUR 500M dedicated to Series A-C funding, (b) Co-investment structure partnering with international VCs but requiring Czech company registrations, (c) Tax incentives for Czech investors participating in startup rounds. Target: keep 80% of Czech AI startups raising Series B in Czech Republic, vs. current 40%.

6. Invest in Workforce Reskilling (CZK 5B / EUR 210M, 2026-2030)

Fund large-scale AI and digital skills training: (a) Free AI bootcamps for workers in declining sectors (automotive supply, traditional manufacturing, banking operations), (b) Employer-led training partnerships (companies propose training, government subsidizes 60%), (c) Incentives for universities to develop applied AI programs (not just theoretical research). Partner with Charles University, Brno University, CTU Prague, and industry to create pathways from displaced manufacturing workers to AI-adjacent roles (quality systems management, AI operations, etc.).