Navigating the AI-Energy Nexus with Geopolitical Insight
Fuente:
arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Acceso en línea: | |
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| _version_ | 1866916764948889600 |
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| author | Kalra, Nidhi Wang, Robin Rueda, Ismael Arciniegas |
| author_facet | Kalra, Nidhi Wang, Robin Rueda, Ismael Arciniegas |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_22639 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Navigating the AI-Energy Nexus with Geopolitical Insight Kalra, Nidhi Wang, Robin Rueda, Ismael Arciniegas Computers and Society 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. |
| title | Navigating the AI-Energy Nexus with Geopolitical Insight |
| topic | Computers and Society |
| url | https://arxiv.org/abs/2505.22639 |