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Does artificial intelligence reduce energy intensity in manufacturing? Evidence from country-level data

  • Chao Zhong
  • , Hongbo Cai*
  • , Shuai Fang*
  • , Rui Xue
  • , Yuli Shan
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This paper examines the impact of artificial intelligence (AI) technology on the energy intensity of manufacturing industries using cross-country analysis. The findings reveal that AI adoption significantly reduces energy intensity in manufacturing, underscoring its potential for energy savings. To mitigate endogeneity concerns, the Bartik instrument variable method is used and the key findings are held. We further document substantial heterogeneity across economic contexts. Specifically, in high-income countries and developed economies, especially in G7 and European Union countries, AI application does not significantly reduce energy intensity. However, in middle-income countries and emerging economies, particularly in European emerging markets, AI adoption leads to a substantial decrease in energy intensity. Furthermore, we reveal that AI enhances energy efficiency through technological advancement and application dissemination. Based on these findings, we offer practical policy recommendations for promoting the sustainable development of the AI-energy intensity nexus in manufacturing.

Original languageEnglish
Article number108784
Number of pages10
JournalEnergy Economics
Volume149
Early online date26 Jul 2025
DOIs
Publication statusPublished - Sept 2025

Bibliographical note

Publisher Copyright:
© 2025 Elsevier B.V. All rights are reserved.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Artificial intelligence
  • Energy intensity
  • Manufacturing
  • R&D
  • Technology application

ASJC Scopus subject areas

  • Economics and Econometrics
  • General Energy

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