This working paper examines how geopolitical strategies and energy resource management intersect with Artificial Intelligence (AI) development, delineating the AI-energy nexus as critical to sustaining U.S. AI leadership. By analyzing the centralized approaches of authoritarian regimes like China and Gulf nations, alongside market-driven approaches in the U.S., the paper explores divergent strategies to allocate resources for AI energy needs. It underscores the role of energy infrastructure, market dynamics, and state-led initiatives in shaping global AI competition. Recommendations include adopting geopolitically informed analyses and leveraging both market and non-market strengths to enhance U.S. competitiveness. This research aims to inform policymakers, technologists, and researchers about the strategic implications of the AI-energy nexus and offers insights into advancing U.S. global leadership in AI amidst evolving technological paradigms.
@article{arxiv.2505.22639,
title = {Navigating the AI-Energy Nexus with Geopolitical Insight},
author = {Nidhi Kalra and Robin Wang and Ismael Arciniegas Rueda},
journal= {arXiv preprint arXiv:2505.22639},
year = {2025}
}