Competition over AI Sovereignty Accelerates Among Corporations and Governments

The discussion around artificial intelligence usage is shifting from comparisons of performance and price toward the question of "who controls AI." As a symbolic manifestation of this trend, AI startup Anthropic has attracted attention for imposing certain restrictions on the use of its models. Such restrictions go beyond mere terms of service, revealing a larger structural shift concerning access and control rights over artificial intelligence.

Behind this development lies the emergence of a concept called "AI Sovereignty." This refers to placing the operation, data, and decision-making processes of AI systems under the control of one's own country or organization, rather than depending on external corporations or nations. Just as the location of data and the nationality of companies handling its processing were questioned in the era of internet and cloud services, the "control rights" over AI models themselves have now become a matter of concern from the perspectives of national security and competitiveness.

This trend is being driven by both national governments and large corporations. Governments are becoming concerned about dependence on models provided by foreign companies when utilizing AI in critical national infrastructure and administrative services. Meanwhile, large corporations are reassessing the risks of handing over business data to AI vendors and increasing their interest in "private deployment"—maintaining and operating models in-house. Anthropic's model restrictions can be positioned as one manifestation of this underlying tension.

Anthropic's actions attract particular attention because the company is known as a leader in AI development that prioritizes safety. The company has made AI risk mitigation central to its mission, and model usage restrictions are an extension of that policy. However, the specific content and scope of these restrictions vary by company and by use case, making it difficult to describe them uniformly.

This trend has the potential to affect the business models of the entire AI industry. Until now, many AI companies have provided models widely through APIs and generated revenue through usage-based pricing. However, if customers begin demanding "control rights," a shift toward licensing models themselves or enabling on-premises operation within a company's own infrastructure becomes foreseeable. In such scenarios, while AI vendors would have new revenue opportunities, they would also need to clarify the scope of technical support and responsibility.

The concept of AI sovereignty is simultaneously a technical question and one at the intersection of politics, economics, and national security. Questions about which countries can use which technologies and whose hands corporate data falls into directly relate to future discussions on international AI governance. The Anthropic case can be seen as merely the entrance to those discussions. Going forward, the conditions for accessing models and alignment with regional regulations will become one of the factors determining the competitive strength of AI companies.