With the major three public cloud service providers (CSPs) worldwide dominating global cloud services and AI technology, they face challenges that align with the vision of autonomous AI supply chains that many nations seek, prompting them to adjust their global strategies by intensifying efforts to build localized AI ecosystems and collaborating with local partners to address the growing demand for sovereign AI solutions.
Sovereign AI prioritizes self-sufficiency across digital infrastructure, data, talent, AI models, and supply chains, according to DIGITIMES Research.
International trade conflicts and geopolitical tensions could jeopardize the security of AI hardware and software supply chains, hindering the development of AI ecosystems in various countries. As a result, sovereign AI has attracted attention from both AI supply chain companies and governments.
Table 1: Macroeconomic factors influencing the rise of sovereign AI
Table 3: Sovereign cloud solutions of the three major public CSPs and target applications
Table 4: Sovereign cloud partners and deployment of the three major public CSPs
Table 5: Data center capacity investments and projects by the three major public CSPs
Table 6: Comparison of sovereign AI and major public CSP positions
Table 7: Challenges faced by major public CSPs with sovereign AI and countermeasures
