What is sovereign AI?

Sovereign AI represents a shift from renting AI to owning AI. It’s about owning technology, keeping data local, and making sure your AI systems reflect your values and legal requirements. 

Sovereign AI is an implementation of digital sovereignty that aims to decentralize AI capabilities by removing reliance on external gatekeepers. With the help of open source models and local infrastructure, sovereign AI is a framework that imagines AI as a locally owned and operated utility.

Specifically, sovereign AI describes independently owned and operated physical and data infrastructures. This includes AI accelerators like graphics processing units (GPUs), large language models (LLMs), and the inference servers that host them locally. This setup ensures that the entire AI lifecycle, from training to inference, remains within a specific jurisdiction. 

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As AI becomes more embedded in our daily lives and the systems that keep us organized, conversations around how AI operates and who controls it become more important. 

Perhaps the biggest incentive to build a sovereign AI system is to eliminate risk. Sovereign AI provides the architecture needed to keep valuable data inside a legal safety zone where only you make the rules and control the output. Other reasons include:

• Privacy: Sending data to a cloud in another country can violate local privacy laws and lead to information being leaked or harvested. To prevent this, some governments require AI to process data within their borders. Sovereign AI keeps data local, which helps with privacy protection.

• Technological independence: Having your own sovereign AI infrastructure creates a safeguard that can help keep your technology running if there are geopolitical shifts or changes in terms of service. This can help countries move from being consumers to creators and even exporters. 

• Economic growth: Sovereign AI helps countries keep jobs and profits local. When a nation owns "AI factories" (or datacenters) and models, the money spent on AI stays in the local economy.

• National security: As military systems increasingly use AI, governments want to ensure their national security doesn’t rely on foreign technologies. Countries that build sovereign AI systems can more securely and privately access data that won’t compromise national security.

• Cultural identity: American companies are developing some of the most prevalent AI models. This means U.S.-based models are trained on Western content and values, which can create bias and misunderstandings in other cultures. Sovereign AI empowers nations to use training data based on local languages, cultures, and contexts. 

Read the e-book: A blueprint for sovereign AI