The rapid development of Large Language Models (LLMs) technology can offer an opportunity for end-users, but it also challenges the required power demand from data centers to meet this increase in performance. Based on trends in the growth of LLMs/data centers and symmetry/favorability of SMR techno-regulatory environments, scenario analysis yielded nine potential future scenarios. This analysis finds three sets of insights: First, SMRs offer the most promise in the “Era of Radical Innovation” scenario, where they could emerge as a key clean power supply for data centers via distributed generation systems. Second, three key factors will determine the success of SMR implementation: optimizing regulatory framework, achieving technological maturity and enhancing social acceptance. Third, adverse SMR scenario triggers the need for alternative strategies, such as renewable energy deployment and energy efficiency enhancement. It pinpointed major challenges to address: decoupling licensing processes, gaining economic competitiveness via modular fabrication and stakeholder acceptance. Against this background, the study offers a three-tiered set of policy recommendations: one for immediate action (including regulatory reforms and R&D support); another focused on medium-term infrastructure development and workforce training; and a third targeted on long-term international cooperation frameworks. A systematic evaluation of their potential to meet the rising power demands for AI while providing energy security and environmental sustainability is presented in this research.
- Book : 57(4)
- Pub. Date : 2025
- Page : pp.3-30
- Keyword :