Anthropic and Rwanda: AI at the Heart of a Bold but Risky Bet

An Unprecedented Partnership Between Rwanda and Anthropic

Rwanda has recently signed a three-year agreement with Anthropic, an American company specializing in artificial intelligence. This partnership goes beyond the introduction of new technologies; it redefines the very foundations of how the Rwandan state operates. By integrating AI into key sectors such as health, education, and public software development, Rwanda hopes to radically transform these areas.

The implications of this agreement are vast. Rwandan doctors will have access to enhanced tools for diagnosing and treating diseases, while students will benefit from advanced educational assistants. However, this initiative comes with a growing dependence on a private company, raising questions about the country's technological sovereignty.

Anthropic's AI: A Lever for Immediate Efficiency

Rwanda has clear ambitions and wants to achieve them quickly. A major goal is the elimination of cervical cancer by 2027, well ahead of the deadline set by the World Health Organization. The integration of AI into the healthcare system could accelerate this process by providing data analysis and decision-making capabilities that save valuable time.

In the field of education, tools like Claude, an educational assistant, open new perspectives for hundreds of thousands of African students. These previously inaccessible resources are now within reach, further strengthening Rwanda's position as a future regional tech hub.

The public software development sector also benefits from this agreement. By training government teams in the use of advanced tools and providing them with API credits, Rwanda can build digital public services at an unprecedented speed. While other nations are still fumbling with their infrastructure setups, Rwanda seems to have taken a lead.

The Lack of Governance: A Concerning Blind Spot

The agreement between Anthropic and Rwanda is non-binding, meaning there is no external oversight mechanism, no obligation for transparency, and no independent audit. No parliamentary, civil, or international body has been consulted or involved in this process.

This situation sharply contrasts with other sectors where strict controls are the norm. For example, clinical trials require ethics committees, and financial infrastructures are subject to rigorous audits. Here, nothing of the sort is planned, raising crucial questions: What will happen if Anthropic's models evolve, if costs increase, or if data usage rules change? Who will be responsible for negotiating and protecting the public interest?

A Historic Precedent and Its Implications

This partnership recalls the 2010s when many states adopted digital infrastructures based on AWS or Microsoft Azure, often without public debate. These choices led to nearly irreversible dependencies. Similarly, in the telecommunications sector, Huawei built much of Africa's 4G networks, making any subsequent changes complex and costly.

AI is following a similar trajectory, but with even more sensitive stakes. It does not merely transport data; it directly influences decisions in critical areas such as health and education, and potentially security and justice in the future. Rwanda, aware of these stakes, is attracting major players to accelerate its development, but the lack of rules governing this integration remains problematic.

The Benefits and Risks of Rapid Advancement

The advantages of this partnership are undeniable. Rwanda benefits from improved medical decision-making, democratized access to AI, and upskilling of local developers. Few countries are progressing as rapidly in these areas.

However, this rapid advancement comes with a hidden cost: the gradual loss of control. Once systems are in place, it becomes difficult to turn back. The more AI is integrated, the more it becomes invisible and challenging to question.

At the continental level, the African Union has begun to develop a strategy for AI, and a summit in Kigali highlighted the importance of digital sovereignty. But for now, these principles remain theoretical in the face of concrete commercial agreements.

The real risk does not lie with Anthropic itself, but with the private infrastructure model that is establishing itself faster than the governance capable of overseeing it. Rwanda is not allowing AI to govern, but is building its digital future at a pace that few states can match. However, by moving so quickly, it highlights a global void: the absence of rules to govern the integration of AI into public functions.

The future will depend on the rapid establishment of transparency, audit, and control mechanisms, whether at the national or continental level. Without this, these dependencies risk becoming entrenched, and the question will then be whether it will still be possible to change course.