AI Sovereignty: Myth or Reality in the Age of Globalization?

The aspiration for "sovereign AI" is becoming a global trend. Governments worldwide plan to invest approximately $1.3 trillion into artificial intelligence infrastructure by 2030. The idea is straightforward: countries should control their own AI capabilities to avoid dependence on other states or corporations. These investments include financing domestic data centers, developing locally trained models, creating independent supply chains, and building national talent reserves in AI.

This trend is a reaction to growing geopolitical tensions and concerns about technological dependence. Given that artificial intelligence is becoming a key driver of economic growth and national security, countries are seeking to ensure autonomy in this strategically important area. However, how realistic is this goal in conditions of global interdependence?

Creating a completely independent AI ecosystem is an extremely complex and costly task. Developing modern large language models (LLM) requires enormous computational power, access to vast amounts of data, and highly qualified specialists. Few countries possess all these resources in sufficient quantity. Even technological giants like the United States and China are significantly dependent on global semiconductor supply chains and other components necessary for AI infrastructure development.

Moreover, open exchange of knowledge and technologies is an important factor in AI development. Isolation and restricting access to international research and development can slow progress in this field. Balancing the pursuit of sovereignty with the necessity of international cooperation is a key question governments must address.

The pursuit of AI sovereignty may lead to fragmentation of the global AI market, creation of technological barriers, and duplication of efforts. Rather than attempting to create completely independent ecosystems, countries might better focus on developing their own strengths and deepening international cooperation in areas where it is possible. This could include joint research projects, data sharing, and creation of common standards and protocols.

Ultimately, complete AI sovereignty is likely unattainable in the modern world. However, the pursuit of greater autonomy and control over one's own AI capabilities is a fully justified goal. The key is to find the right balance between independence and cooperation to ensure sustainable and inclusive development of artificial intelligence in the interests of all humanity.

Key takeaway: Complete independence in AI is impossible, but strategic development of one's own competencies and international cooperation is the key to success.