The Case for the Development of an Asian Regional AI Framework—Expanding the Discussion on “Sovereign AI” to a Regional Level

Since the introduction of generative AI, the debate for sovereign AI has been growing for the last decade. At the same time, there is a need for an Asian regional framework for artificial intelligence (AI) governance, reframing the conversation around “sovereign AI” to emphasize its importance in a broader, supranational context. There are many Digital Trade Agreements (DTAs) with provisions related to AI infrastructure. However, they are not sufficient to handle the complex regulatory issues that come with generative AI. As a result, there is a growing need for a comprehensive regional accord—one that would harmonize regulatory standards, support sustainable infrastructure development, and encourage shared investment in AI architecture, workforce training, and cybersecurity. In order to realize the regional AI framework, there need to be several provisions including establishing joint funding for local language data repositories, designing governance standards that reflect regional needs, and fostering AI ecosystems that are both competitive and culturally sensitive. Despite the significant challenges posed by Asia’s varied technological capabilities and regulatory frameworks, strategic regional collaboration can make the most of the unique strengths each nation brings to the table. Ultimately, such a framework would not just further technological self-determination and balance national sovereignty with regional integration—it would also strengthen Asia’s position as a global leader in ethical and responsible AI innovation.