Prague's technology economy has every reason to want the AI boom to continue. Czech firms are already enthusiastic adopters, the capital has deep software and cybersecurity talent, and universities and multinational engineering teams give the city a technical base that is large relative to the size of the country.
Yet the latest frontier-AI safety debate exposes a structural weakness shared by many European technology hubs. Prague can build applications, specialist models and valuable companies while still depending on foundation models, cloud infrastructure and advanced chips controlled elsewhere. The more capable those underlying systems become, the more strategically important that dependency is.
Czechia is an adopter before it is a frontier-model power
The Czech National Bank's July research cites EIB data showing nearly half of Czech firms used generative AI in 2025. That is a commercial strength: businesses willing to experiment can capture productivity earlier. But adoption and technological sovereignty are different things.
A Czech startup using a US frontier model inherits changes in price, access, safety policy and technical behaviour from its supplier. If the product becomes deeply integrated into customer workflows, switching models can be difficult. Multi-model architecture and clear data controls are therefore strategic design choices, not merely engineering preferences.
Prague has domains where local expertise matters
Cybersecurity is an obvious example. Czechia has produced globally relevant security companies and technical teams, and AI creates demand for both automated defence and protection against AI-enabled attacks. Manufacturing and industrial software offer another route because local companies understand processes and customers that a general-purpose model does not.
The same principle applies to language, public administration and regulated European workflows. Smaller ecosystems rarely win by reproducing the capital expenditure of the largest US laboratories. They can win by owning the difficult application layer around trusted data and domain expertise.
The safety debate is also a sovereignty debate
Coxon's warning focuses on loss of control over future systems. For Czech businesses, a nearer version of control is already relevant: who owns the model, where data goes, who can change access, and whether a company can keep operating if a supplier changes terms.
That makes AI resilience a sensible part of Prague's growth strategy. The objective should not be to retreat from adoption. It should be to build an ecosystem capable of benefiting from increasingly powerful models without allowing a handful of external suppliers to become irreplaceable dependencies.
| Layer | Local strength | Main dependency |
|---|---|---|
| Applications | Software and startup talent | Foreign foundation models |
| Cybersecurity | Established Czech expertise | Rapidly changing threat landscape |
| Industrial AI | Manufacturing and engineering base | Compute and model suppliers |
| Research | Universities and technical talent | Scale of frontier-model capital |
| Enterprise adoption | High willingness to experiment | Governance and vendor concentration |
Frequently asked questions
Is Prague a major AI hub?
Prague has a significant software, cybersecurity, research and startup ecosystem, while Czech firms show high generative-AI adoption relative to the EU in data cited by the CNB.
What is the biggest AI dependency for Czech companies?
Many applications rely on foreign foundation models, cloud infrastructure and chips, exposing businesses to supplier, pricing, access and governance changes.
How can Czech companies differentiate in AI?
Specialist applications in cybersecurity, manufacturing, enterprise software and other domains with strong local expertise can create defensible value without reproducing frontier-model scale.