The AI-Energy Nexus

The pervasive integration of Artificial Intelligence (AI) is creating unprecedented demands on global energy infrastructure, driving a growing imbalance between burgeoning needs and existing, often aging, supply networks. As energy demand from data centers is projected to triple by 2028 — potentially capturing up to 12 percent of total U.S. national electricity consumption—this paper defines the magnitude of the AI-Energy Nexus. We propose a physically grounded policy framework that establishes the necessity of the Atomic Energy Transition. Our analysis highlights the critical role of new nuclear generation as the only viable pathway, leveraging its vast energy density and innovative fuel breeding capacity. The paper concludes by exploring how AI itself can serve as an essential catalyst for this transition, utilizing its power to enable resource allocation and streamline reactor deployment, ensuring the long-term viability of technological growth.

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Publication Details

Journal
Frontiers in Energy Research
Published
2026-02-02
DOI
https://doi.org/10.3389/fenrg.2025.1691890
Primary Topic
Integrated Energy Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

The AI-Energy Nexus

Lefteri H. Tsoukalas, Joseph F. Pekny, Fabio H. Ribeiro, Sangtae Kim
Frontiers in Energy Research
Integrated Energy Systems Optimization
article

The AI-Energy Nexus

Lefteri H. Tsoukalas, Joseph F. Pekny, Fabio H. Ribeiro, Sangtae Kim
article en

Abstract

The pervasive integration of Artificial Intelligence (AI) is creating unprecedented demands on global energy infrastructure, driving a growing imbalance between burgeoning needs and existing, often aging, supply networks. As energy demand from data centers is projected to triple by 2028 — potentially capturing up to 12 percent of total U.S. national electricity consumption—this paper defines the magnitude of the AI-Energy Nexus. We propose a physically grounded policy framework that establishes the necessity of the Atomic Energy Transition. Our analysis highlights the critical role of new nuclear generation as the only viable pathway, leveraging its vast energy density and innovative fuel breeding capacity. The paper concludes by exploring how AI itself can serve as an essential catalyst for this transition, utilizing its power to enable resource allocation and streamline reactor deployment, ensuring the long-term viability of technological growth.

Frontiers in Energy ResearchVol. 13
Purdue University West Lafayette (US)
National Science Foundation, Purdue University, Davidson School of Chemical Engineering, Purdue University
Industry, innovation and infrastructure
Openalex Percentile: Top 70%
Integrated Energy Systems Optimization
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