- The concept of “sovereign AI” is becoming a strategic priority as nations seek to control their data, infrastructure, and AI technology.
- Thailand is promoting domestic AI development to reduce security risks stemming from reliance on foreign technology.
- AI sovereignty is not just about local data storage; it also encompasses technology ownership, system operation, and legal control.
- It is estimated that 30–40% of global AI spending (approximately $600 billion) will be influenced by sovereignty factors by 2030.
- Countries need to invest at least 1% of their GDP in AI infrastructure to build an independent ecosystem.
- Thailand has chosen a strategy of developing domain-specific AI models rather than competing directly with global giants.
- Domestic language models are better suited for education, legal, and public services due to their understanding of local context.
- “Lock-in” risks occur when national data becomes dependent on foreign AI platforms, making future transitions difficult.
- The shift toward agentic AI increases risks if integrated into national infrastructure without local control.
- Governments are advised to subsidize infrastructure and computing to encourage citizens to use domestic AI, generating data to improve systems.
📌 Conclusion: AI is not just a technology but a matter of national sovereignty, with 30–40% of global spending linked to this factor. Thailand is taking a pragmatic path by focusing on domain-specific AI and a minimum 1% GDP investment in infrastructure. However, high costs and the risk of foreign dependency remain major challenges. Developing domestic AI, especially agentic AI, will determine future autonomy and digital security.
