The European AI sector has encountered a crisis of "rented sovereignty." Betting on the development of the application layer while completely lacking control over foundation models and computing infrastructure makes the region critically vulnerable to the political and technical decisions of providers from the US and China.
What Happened
The suspension of access to Anthropic's Fable model series by the US administration exposed the lack of real technological sovereignty in Europe. This incident demonstrated that European companies relying on external APIs can suddenly lose access to key technologies due to geopolitical factors.
Context
Europe's AI development strategy has long focused on using ready-made solutions, which has created the risk of emerging "thin wrappers." While core capacities and frontier models are controlled by external players, European efforts are often limited to academic grants, which do not provide a continuous cycle of expertise accumulation and the creation of proprietary infrastructure.
Why It Matters for the Industry
For the industry, this means the critical importance of owning the AI "substrate" — foundation models and computing power. Without its own frontier models, the economic value created by European users will continue to leak outside the region. In the long term, this could lead to a market split between sovereign infrastructure stacks and dependent application interfaces.
Why It Matters for Users
For end users and businesses, this is a signal that having applications based on GPT or Claude does not guarantee technological independence. Companies must recognize the risks of dependency on API providers and consider the possibilities of local deployment (self-hosting) of open-source models, such as Llama, to ensure real control over their processes.
Sources
Author
Look at AI, Editorial Team