The Complete Guide to Using AI in the Government Industry in Czech Republic in 2025

The Czech Republic in 2025 is moving fast from strategy to action: the National AI Strategy 2030 (NAIS) is the roadmap while national work to adopt the EU AI Act is underway, with the Ministry of Industry and Trade coordinating implementation and plans for a regulatory sandbox, conformity-assessment bodies and market surveillance already on the table (see the NAIS overview at Global Legal Insights NAIS overview).

Public‑private momentum is tangible - from TWIST funding calls to a bid to host an AI Gigafactory with plans for more than 100,000 specialised AI chips - all aimed at turning Czechia into an AI developer, not just a user.

For government teams new to AI, the practical takeaway is clear: expect new oversight, testing environments and funding windows, and start aligning projects to NAIS pillars and the EU risk‑based rules now (read the government's implementation brief on the regulatory sandbox and oversight at the government implementation brief).

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“Our goal is to create a transparent and quality environment in the Czech Republic that will allow only trustworthy and competent entities to certify AI systems according to the rules of the European Act on Artificial Intelligence,” says Jiří Kratochvíl, Chairman of the ÚNMZ.

The National AI Strategy 2030 (NAIS 2030) is the Czech Republic's practical playbook for turning AI from a science‑project into national advantage: originally launched in 2019 and updated and approved by government resolution in July 2024, it places the Ministry of Industry and Trade at the centre of coordination and sets seven interrelated priority areas - research & R&D, education and skills, labour‑market adaptation, ethical and legal frameworks, security, industry & business, and public administration and services - to lift competitiveness and public sector performance (see the OECD NAIS overview for the full roadmap).

NAIS couples headline ambitions (concentrating excellent R&D and building test centres and European Centres of Excellence) with concrete financing signals - a reported annual budget estimate of about €125.2M alongside around €120M of earlier project support - and links into the Digital Czech Republic implementation plans; the detailed Action Plan is being phased in and will be updated annually, so teams should expect both new funding windows and regulatory alignment with the EU AI Act as they plan pilots (read the Cedefop timeline for how NAIS evolved into the 2024 update).

Think of NAIS as a seven‑room blueprint for the state: from classrooms to courts, each room has targets, and the practical job is to match projects to the corresponding door.

Attribute	Information
Coordinator	Ministry of Industry and Trade
Annual budget (estimate)	€125,167,000
Previous project funding	~€120,000,000 (Technology Agency support)
Approved	Government Resolution - 24 July 2024
Priority areas	Research & innovation; Education & training; Labour market; Ethical & legal aspects; Security; Industry & business; Public administration & services

In 2025 the Czech approach to AI regulation is best understood as rapid EU‑aligned implementation rather than a bespoke national code: the government has approved an AI Implementation Plan that puts the Ministry of Industry and Trade (MPO) in the driver's seat to transpose the EU AI Act, create a regulatory sandbox and stand up enforcement capacities - including funding (CZK 232 million earmarked for 2026–2028) and new positions to supervise compliance.

Expect three practical pillars on the ground: market surveillance led by the Czech Telecommunication Office, a notifying authority role for the Office for Technical Standardization, Metrology and State Testing (ÚNMZ) to register conformity assessment bodies, and a sandbox run by the Czech Standards Agency to let developers test high‑risk and GPAI systems under oversight (see the government brief on the implementation plan at the ÚNMZ press note on the implementation plan).

The next major legal milestones are also on a tight clock: Member States must designate competent authorities by 2 August 2025 and the second wave of AI Act obligations (including transparency rules for General Purpose AI and the sanction regime) takes effect the same month, with heavy fines for breaches up to tens of millions of euros (details in the White & Case AI Act regulatory tracker).

For government teams, the takeaway is simple and vivid: treat the sandbox and conformity regime as a regulated test track - align pilots now to NAIS pillars and the EU AI Act's documentation, transparency and risk‑management rules to avoid costly rework or penalties (see the European Commission AI Act implementation timeline).

Institution	Role under implementation plan
Ministry of Industry and Trade (MPO)	Central coordinator; prepares national implementing legislation and AI Competence Centre for eGovernment
Czech Telecommunication Office (CTU)	National market surveillance authority
Office for Technical Standardization, Metrology and State Testing (ÚNMZ)	Notifying authority; designates and monitors conformity assessment bodies
Czech Standards Agency (CSA)	Operator of the regulatory sandbox

“Our goal is to create a transparent and quality environment in the Czech Republic that will allow only trustworthy and competent entities to certify AI systems according to the rules of the European Act on Artificial Intelligence,” says Jiří Kratochvíl, Chairman of the ÚNMZ.

AI in Czech government in 2025 is already practical, not just theoretical: NAIS and implementation plans push systems that automate routine back‑office work, speed citizen-facing eGovernment services, and add decision‑support for complex cases - think faster benefit processing, smarter document extraction and case triage that turns multi‑day paperwork into near‑real‑time workflows.

The state is also explicitly preparing for higher‑risk public uses: the implementation plan and ÚNMZ examples list biometric identification for law enforcement, automated visa‑application assessment, CV‑grading tools and even robot‑assisted surgery as categories that will need conformity checks and close supervision, while cybersecurity aims to use AI for incident triage and SOC integration.

These use cases underline the “so what” - efficiency gains and service quality are tangible, but they come with clear oversight needs (documentation, transparency and testing) that the NAIS 2030 framework and the planned regulatory sandbox are designed to enforce; see the government's NAIS overview at the Ministry of Industry and Trade and the ÚNMZ press note on the implementation plan for the regulatory sandbox and high‑risk system examples.

“Our goal is to create a transparent and quality environment in the Czech Republic that will allow only trustworthy and competent entities to certify AI systems according to the rules of the European Act on Artificial Intelligence,” says Jiří Kratochvíl, Chairman of the ÚNMZ.

For beginners building or buying AI in Czech government, governance is practical and non‑negotiable: the updated NAIS 2030 and the national AI Implementation Plan put the Ministry of Industry and Trade at the centre of coordination while EU rules (the AI Act) insist on proportionate, human‑centric safeguards such as meaningful human oversight, transparency, and documented risk management.

That means setting a simple governance skeleton now - clear ownership (an AI Competence Centre or committee), ethics codes, lifecycle policies for data and models, and routine audits - so projects don't get slowed later by conformity checks or sandbox requirements; think of the regulatory sandbox as a supervised “test track” where high‑risk uses like biometric ID, automated visa decisions or even robot‑assisted surgery must prove safety before scale.

Legal issues to prioritise are conformity assessment readiness (independent certification will be required for some systems), clarity on copyright for AI‑generated outputs, and compliance with data and security rules; export controls on advanced chips also affect how ambitious on‑prem or model‑training plans can be.

Practical first steps: map use cases to NAIS pillars, assign accountability for documentation and audits, adopt explainability and bias‑testing as standard, and engage early with the sandbox and notifying authorities so pilots become certified products, not costly retrofits (see the GLI overview of Czech AI law and the ÚNMZ press note on the national implementation plan for details).

Institution	Role
Ministry of Industry and Trade (MIT)	Coordinator; prepares national implementing legislation and AI Competence Centre for eGovernment
Czech Telecommunications Office (CTU)	Market surveillance authority
Office for Technical Standardization, Metrology and State Testing (ÚNMZ)	Notifying authority; registers and monitors conformity assessment bodies
Czech Standards Agency (CSA)	Operator of the regulatory sandbox

“Our goal is to create a transparent and quality environment in the Czech Republic that will allow only trustworthy and competent entities to certify AI systems according to the rules of the European Act on Artificial Intelligence,” says Jiří Kratochvíl, Chairman of the ÚNMZ.

Sandboxing in the Czech Republic is being built as a practical bridge between innovation and compliance: the Czech Standards Agency (CSA) will run a national regulatory sandbox where startups, researchers and public bodies can test AI solutions in supervised, pre‑market conditions while getting regulatory guidance, and the Ministry of Industry and Trade (MIT) will coordinate wider implementation so experiments map back to NAIS priorities; details and roles are set out in the government implementation plan and the ÚNMZ press note on the implementation plan (ÚNMZ implementation plan press note).

Under the EU framework each Member State must host at least one sandbox (Article 57) and sandboxes are designed to improve legal certainty - participants who follow sandbox guidance won't face administrative fines for inadvertent breaches, though liability for damages remains - see the EU sandbox overview (EU AI regulatory sandbox approaches overview).

At the same time, conformity assessment for high‑risk systems will be overseen by ÚNMZ as the notifying authority with market surveillance by the Czech Telecommunication Office, backed by resources earmarked for implementation (see the White & Case tracker for the national plan and funding signals, including CZK 232 million for 2026–2028) (White & Case AI Watch: Czech Republic regulatory tracker).

Think of the sandbox as a regulated test track - one controlled lap can turn a promising prototype into a certifiable public‑sector tool without costly retrofits at scale.

Institution	Role
Ministry of Industry and Trade (MIT)	Central coordinator; prepares national implementing legislation and AI Competence Centre
Czech Standards Agency (CSA)	Creator and manager of the national regulatory sandbox
Office for Technical Standardization, Metrology and State Testing (ÚNMZ)	Notifying authority; designates and monitors conformity assessment bodies
Czech Telecommunication Office (CTU)	National market surveillance authority

“Our goal is to create a transparent and quality environment in the Czech Republic that will allow only trustworthy and competent entities to certify AI systems according to the rules of the European Act on Artificial Intelligence,” says Jiří Kratochvíl, Chairman of the ÚNMZ.

Funding and support for AI in Czechia in 2025 is practical and multi‑layered: the government's TWIST programme (focused on applied research in strategic technologies) opened an AI‑focused call that signals big national ambition - the programme is funded at EU‑scale levels (the broader TWIST allocation is cited at around €209M for 2025–2031) and the call sets strict eligibility and timing (projects must start between 1 March and 1 September 2025, run for up to 24 months, and follow the stated aid intensities); the call text also lists per‑project caps and aid intensity rules (the notice references caps including both EUR 30 million and CZK 30 million language, with funding up to 70% of eligible costs and 90% for research organisations) - see the Ministry of Industry and Trade TWIST announcement for details.

At the startup end, the Technology Incubation programme via CzechInvest offers targeted seed and incubation support (direct grants roughly CZK 1.1–4.5M plus CZK 0.5M of indirect support), a national incubation network and sector hubs that have already funnelled tens to hundreds of millions of CZK into AI startups (the incubator is described across ministry and CzechInvest materials with total programme allocations quoted in different places around CZK 680M–850M).

Together these tracks create a clear pathway: TWIST for larger applied R&D projects and the Technology Incubation and CzechInvest challenges for early‑stage teams - a vivid reminder that Czech policy now runs from lab to launchpad, so public teams and suppliers should map proposals to the right window fast and use the incubators and the ministry's project support office to avoid wasted effort; read the TWIST call and the Technology Incubation project pages for application steps and contacts.

Programme	Key support	Notable figures
Ministry of Industry and Trade TWIST AI funding announcement	Applied R&D grants for strategic tech (AI focus)	Programme allocation ~€209M; call limits/aid intensity: up to 70% (90% for research orgs); project timing Mar–Sep 2025; max project cap referenced in call text
CzechInvest Technology Incubation program page	Incubation, mentoring, direct grants and indirect support for startups	Direct grants CZK 1.1M–4.5M; indirect CZK 0.5M; total programme cited ~CZK 680M–850M
CzechInvest challenge (2025)	Targeted cohort funding and incubation packages	Recent cohort: CZK 68M to 40 startups; ongoing calls and hub support

Czechia's infrastructure for serious AI work is no longer hypothetical - it now centers on IT4Innovations' Karolina petascale supercomputer in Ostrava and the newly procured EuroHPC quantum node, together forming a genuine hybrid platform that government teams can tap for large‑scale models, simulations and advanced R&D. Karolina (installed 2021) packs a theoretical peak of ~15.7 PFlop/s, 576 NVIDIA A100 GPUs in its accelerated partition (AI performance quoted up to 360 PFlop/s), high‑speed NVMe scratch (1.36 PB) and a 200 Gb/s InfiniBand interconnect for data‑hungry workflows, while the LUMI‑Q / VLQ quantum computer - a star‑topology superconducting system with 24 physical qubits - will be hosted at the same IT4Innovations centre and integrated with Karolina to enable hybrid quantum‑classical experiments; the VLQ arrival (a tiny chip backed by a cryostat described like a 300 kg chandelier) and the EuroHPC plan also explicitly feed into Europe's AI Factory vision to accelerate industry and public‑sector access to cutting‑edge compute and tooling.

For practical project planning, that means pilots should consider scalability paths (GPU clusters → EuroHPC AI Factory access → hybrid HPC+QC tests) so prototypes can graduate quickly from sandbox to production using domestic high‑end infrastructure (see the Karolina supercomputer overview at IT4Innovations and the EuroHPC press release on LUMI‑Q quantum computer for details).

Resource	Key facts
Karolina (IT4Innovations)	Installed 2021; peak 15.7 PFlop/s; accelerated AI perf. up to 360 PFlop/s; 576 NVIDIA A100 GPUs; 1.4 PB user storage; InfiniBand HDR 200 Gb/s
VLQ / LUMI‑Q (quantum)	24 physical qubits; star topology; co‑funded EUR 5M (50% EuroHPC JU); hosted at IT4Innovations; integration for hybrid HPC+QC
AI Factory link	EuroHPC JU plans AI Factories around supercomputing facilities to support AI ecosystem growth

“We are excited to have a quantum computer with this unique topology. This architecture will significantly improve the efficiency of computations and the scalability of our system.” - Branislav Jansik, Supercomputing Services Director at IT4Innovations

Building AI capability in Czech government starts with hiring from a deep and active domestic talent pipeline: more than 80 on‑campus technology degrees across the country feed graduates trained for roles such as data scientist, machine learning engineer and AI specialist, and several English‑taught master's programmes explicitly target the skills public teams need.

Masaryk University's Artificial Intelligence and Data Processing master (tuition €4,500/yr) teaches three specialisations - machine learning, NLP and large‑scale data - and even includes hands‑on courses like an "LLM Tools Project" that leave candidates ready to operationalise models.

Masaryk University Artificial Intelligence and Data Processing master's programme.

The joint University of South Bohemia / Deggendorf MSc pairs classroom theory with mandatory internships and industry partners (BOSCH, BMW, Engel), making hires who can plug into production pipelines immediately.

University of South Bohemia and Deggendorf MSc in AI & Data Science.

For government hiring, prioritise applicants with lab projects or industry internships, set clear role profiles for ML engineering, data ops and compliance auditors, and partner with local incubators and universities for apprenticeships so prototypes scale without the typical "skills gap" friction.

Institution	Tuition (per year)	Length / Language	Notable features
Masaryk University (MUNI)	€4,500	2 years / English	Specialisations: ML, NLP, Data; includes LLM Tools Project
University of South Bohemia (joint with DIT)	€3,000 (scholarships available)	2 years / English	Industry internships; partners include BOSCH, BMW, Engel
Czech Technical University (CTU)	€5,100	2 years / English	Open Informatics track with AI specialisation; strong industry links
Charles University	€5,700	2 years / English	Master's in Computer Science – AI: theory + applied methods for intelligent systems

Practical next steps for government beginners in Czechia are straightforward: map any pilot to a NAIS 2030 pillar, treat the regulatory sandbox as the first testing lane and engage early with the bodies that will run or supervise it, and get conformity‑ready documentation and transparency plans in place now to avoid costly rework when enforcement ramps up; the government approved an implementation plan that names the Ministry of Industry and Trade as coordinator and sets hard milestones - Member States must designate competent authorities and the second wave of EU AI Act obligations arrives on 2 August 2025, the Ministry aims to produce draft national legislation by 31 October 2025, and at least one national sandbox must be established by 2 August 2026 (see the ÚNMZ implementation press note and the EU sandbox overview for details) - while CZK 232 million is earmarked for implementation in 2026–2028 and NAIS action funds (≈19 billion CZK) will be rolled out through targeted calls like TWIST. For practical capacity building, consider short, applied training (for example Nucamp AI Essentials for Work bootcamp) to teach prompt writing, tool use and workplace workflows so teams can move from proof‑of‑concept to compliant deployment without missing deadlines or documentation requirements.

Action	Target date / period	Lead body
Designation of competent authorities & second wave obligations	2 August 2025	Ministry of Industry and Trade; CTU; ÚNMZ
Draft national implementing legislation due	31 October 2025	Ministry of Industry and Trade
National regulatory sandbox established	By 2 August 2026	Czech Standards Agency (CSA)
Implementation funding allocated	2026–2028	State budget (CZK 232M) / NAIS programmes

“Our goal is to create a transparent and quality environment in the Czech Republic that will allow only trustworthy and competent entities to certify AI systems according to the rules of the European Act on Artificial Intelligence,” says Jiří Kratochvíl, Chairman of the ÚNMZ.