1. Computing power: Nvidia's 85% monopoly as an obstacle
Computing power is the foundation of every AI application. Control over specialised chips determines who can train and deploy AI systems, and who cannot.
The reality: Nvidia controls approximately 85% of the semiconductor market for AI chips2. Even European gigafactories need this technology. The European Commission's European Chips Act mobilises €43 billion3 to strengthen Europe's semiconductor competitiveness, but European newcomers are currently not strong enough to break American dominance.
2. Cloud infrastructure: 72% US control over European data
US providers such as Microsoft and Google control approximately 72% of European cloud capacity4. This hyperscaler dominance means that European corporate data often ends up on American servers, despite GDPR requirements.
European cloud providers are growing their revenues, but European products still lag significantly behind the American hyperscalers, particularly in terms of functionality and scalability. The dependency remains.
You can find further information on current developments in cloud sovereignty here.
3. Language models: 73% from the US, 15% from China
The concentration is particularly pronounced in language models. 73% of all language models of recent years originated in the US and 15% in China, with only 12% coming from Europe5. Development is concentrated among tech giants such as OpenAI, Google and Anthropic.
European alternatives are emerging but are underfunded: Mistral AI (France) and DeepL (Germany) are developing powerful models. However, the funding gap is considerable: while OpenAI received over USD 13 billion from Microsoft, Mistral AI raised only around €3.2 billion across several funding rounds.6, 7 This gap is reflected in the pace of innovation and in the service portfolio.