Navigating the AI-Energy Nexus with Geopolitical Insight

• URL: http://arxiv.org/abs/2505.22639v1
• Date: Wed, 28 May 2025 17:54:30 GMT
• Title: Navigating the AI-Energy Nexus with Geopolitical Insight
• Authors: Nidhi Kalra, Robin Wang, Ismael Arciniegas Rueda,
• Abstract summary: This working paper examines how geopolitical strategies and energy resource management intersect with Artificial Intelligence (AI) development.<n>By analyzing the centralized approaches of authoritarian regimes like China and Gulf nations, the paper explores divergent strategies to allocate resources for AI energy needs.<n>It underscores the role of energy infrastructure, market dynamics, and state-led initiatives in shaping global AI competition.
• Score: 0.05461938536945723
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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.

Related papers

• Advancing Science- and Evidence-based AI Policy [163.43609502905707]
  This paper tackles the problem of how to optimize the relationship between evidence and policy to address the opportunities and challenges of AI.<n>An increasing number of efforts address this problem by often either (i) contributing research into the risks of AI and their effective mitigation or (ii) advocating for policy to address these risks.
  arXiv  Detail & Related papers  (2025-08-02T23:20:58Z)
• The California Report on Frontier AI Policy [110.35302787349856]
  Continued progress in frontier AI carries the potential for profound advances in scientific discovery, economic productivity, and broader social well-being.<n>As the epicenter of global AI innovation, California has a unique opportunity to continue supporting developments in frontier AI.<n>Report derives policy principles that can inform how California approaches the use, assessment, and governance of frontier AI.
  arXiv  Detail & Related papers  (2025-06-17T23:33:21Z)
• Open and Sustainable AI: challenges, opportunities and the road ahead in the life sciences [50.9036832382286]
  We review the increased erosion of trust in AI research outputs, driven by the issues of poor reusability.<n>We discuss the fragmented components of the AI ecosystem and lack of guiding pathways to best support Open and Sustainable AI.<n>Our work connects researchers with relevant AI resources, facilitating the implementation of sustainable, reusable and transparent AI.
  arXiv  Detail & Related papers  (2025-05-22T12:52:34Z)
• AI Governance in the GCC States: A Comparative Analysis of National AI Strategies [0.0]
  Gulf Cooperation Council (GCC) states increasingly adopt Artificial Intelligence (AI) to drive economic diversification and enhance services.<n>This paper investigates the evolving AI governance landscape across the six GCC nations, the United Arab Emirates, Saudi Arabia, Qatar, Oman, Bahrain, and Kuwait.<n>Findings highlight a "soft regulation" approach that emphasizes national strategies and ethical principles rather than binding regulations.
  arXiv  Detail & Related papers  (2025-05-04T16:25:52Z)
• From Efficiency Gains to Rebound Effects: The Problem of Jevons' Paradox in AI's Polarized Environmental Debate [69.05573887799203]
  Much of this debate has concentrated on direct impact without addressing the significant indirect effects.<n>This paper examines how the problem of Jevons' Paradox applies to AI, whereby efficiency gains may paradoxically spur increased consumption.<n>We argue that understanding these second-order impacts requires an interdisciplinary approach, combining lifecycle assessments with socio-economic analyses.
  arXiv  Detail & Related papers  (2025-01-27T22:45:06Z)
• Imagining and building wise machines: The centrality of AI metacognition [78.76893632793497]
  We examine what is known about human wisdom and sketch a vision of its AI counterpart.<n>We argue that AI systems particularly struggle with metacognition.<n>We discuss how wise AI might be benchmarked, trained, and implemented.
  arXiv  Detail & Related papers  (2024-11-04T18:10:10Z)
• Strategic AI Governance: Insights from Leading Nations [0.0]
  Artificial Intelligence (AI) has the potential to revolutionize various sectors, yet its adoption is often hindered by concerns about data privacy, security, and the understanding of AI capabilities. This paper synthesizes AI governance approaches, strategic themes, and enablers and challenges for AI adoption by reviewing national AI strategies from leading nations.
  arXiv  Detail & Related papers  (2024-09-16T06:00:42Z)
• Open Problems in Technical AI Governance [102.19067750759471]
  Technical AI governance refers to technical analysis and tools for supporting the effective governance of AI.<n>This paper is intended as a resource for technical researchers or research funders looking to contribute to AI governance.
  arXiv  Detail & Related papers  (2024-07-20T21:13:56Z)
• Responsible AI for Earth Observation [10.380878519901998]
  We systematically define the intersection of AI and EO, with a central focus on responsible AI practices. We identify several critical components guiding this exploration from both academia and industry perspectives. The paper explores potential opportunities and emerging trends, providing valuable insights for future research endeavors.
  arXiv  Detail & Related papers  (2024-05-31T14:47:27Z)
• Strategic Integration of Artificial Intelligence in the C-Suite: The Role of the Chief AI Officer [0.0]
  I explore the role of the Chief AI Officer (CAIO) within the C-suite, emphasizing the necessity of this position for successful AI strategy, integration, and governance. I analyze future scenarios based on current trends in three key areas: the AI Economy, AI Organization, and Competition in the Age of AI. This paper advances the discussion on AI leadership by providing a rationale for the strategic integration of AI at the executive level and examining the role of the Chief AI Officer within organizations.
  arXiv  Detail & Related papers  (2024-04-30T19:07:18Z)
• Empowering Africa: An In-depth Exploration of the Adoption of Artificial Intelligence Across the Continent [0.0]
  The study considers regional nuances, cultural factors, and infrastructural constraints shaping the deployment of AI solutions in Africa. Case studies in healthcare, agriculture, finance, and education highlight AI's transformative potential for efficiency, accessibility, and inclusivity. Ethical considerations, including data privacy and algorithmic bias, are addressed alongside policy frameworks supporting responsible AI implementation.
  arXiv  Detail & Related papers  (2023-12-28T12:07:13Z)
• Human-AI Coevolution [48.74579595505374]
  Coevolution AI is a process in which humans and AI algorithms continuously influence each other. This paper introduces Coevolution AI as the cornerstone for a new field of study at the intersection between AI and complexity science.
  arXiv  Detail & Related papers  (2023-06-23T18:10:54Z)
• AI Explainability and Governance in Smart Energy Systems: A Review [0.36832029288386137]
  Lack of explainability and governability of AI is a major concern for stakeholders. This paper provides a review of AI explainability and governance in smart energy systems.
  arXiv  Detail & Related papers  (2022-10-24T05:09:13Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.