AI is rapidly becoming core to how organizations operate, compete, and innovate. Yet as its capabilities accelerate, a new strategic dependency has emerged: reliance on foreign, largely US-based AI providers for critical thinking, data processing, and decision support. This creates significant sovereignty risks for organizations, including loss of control over data, availability, integrity, compliance, and strategic alignment.
To remain competitive without compromising control, organizations must move beyond a “trust and don’t verify” approach and adopt a clear digital sovereignty strategy. This paper outlines the key risks of foreign AI dependency and presents practical pathways to mitigate them, including self-hosted open-weight models, provider-independent architectures, and EU-aligned infrastructure choices. The goal is clear: harness AI’s full potential while retaining control over purpose, governance, and long-term strategic autonomy.
At Eraneos, we see digital sovereignty as the ability to actively shape your own digital environment, rather than simply reacting to conditions set by others. It is not about building everything yourself or cutting ties with global providers. It is about keeping meaningful choice and control over your data, your systems, and your strategic direction, so you can switch suppliers, adapt solutions, and set your own standards within a reasonable timeframe.
This paper looks at that principle through the lens of artificial intelligence. As AI moves into core business decisions, the question is not whether to use the leading models, but how to stay in control of the choices around them. We hope it helps you decide, consciously and per use case, which degree of sovereignty is right for you.
