Energy and AI co-evolution: from computing power revolution to sustainable development pathways

doi:10.12267/j.issn.2096-5931.2025.06.003

Abstract

Abstract:

The asymmetric development between Artificial Intelligence (AI)-driven computing power and energy technologies has led to a persistently widening energy-computing scissors gap. This study proposes a synergistic paradigm to reconcile this disparity by reconstructing AI infrastructure through energy revolution while leveraging novel energy technologies to drive algorithmic innovation, thereby achieving mutual reinforcement. The empirical analysis reveals that synergy intensity exhibits nonlinear growth characteristics, significantly influenced by regional heterogeneity and policy selection pressure. Sustainable pathways encompass integration of energy internet with federated learning architectures, establishment of global energy-computing trading markets, and breakthroughs in computing-electricity interoperability technologies. Building upon China’s industrial ecosystem, this paper advocates for coordinated technological-institutional innovation to establish a globally exemplary synergistic model by 2030.

Key words: energy, AI, two-way driving mechanism, sustainable development

CLC Number:

TP18

HE Lizhen, WANG Zhentao. Energy and AI co-evolution: from computing power revolution to sustainable development pathways[J]. Information and Communications Technology and Policy, 2025, 51(6): 15-20.

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URL:

http://ictp.caict.ac.cn/EN/10.12267/j.issn.2096-5931.2025.06.003

http://ictp.caict.ac.cn/EN/Y2025/V51/I6/15

Figures/Tables 2

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