Artificial intelligence adoption and corporate ESG performance: evidence from a refined large language model

The results reveal a robust positive relationship between AI adoption and ESG outcomes, primarily driven by enhanced green innovation and improved internal control quality. These effects are more pronounced among large and technology-intensive firms. Consistent with the Resource-Based View and the Technology-Organization-Environment framework, our findings underscore the importance of complementary assets and absorptive capacity in realizing the sustainability potential of AI. This study provides credible evidence on how and for whom AI fosters corporate sustainability, introduces a transparent approach to measuring authentic technology adoption, and highlights the emerging "digital ESG divide" with implications for targeted policy interventions.

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Publication Details

Journal
Frontiers in Artificial Intelligence
Published
2025-10-27
DOI
https://doi.org/10.3389/frai.2025.1691468
Citations
3
Primary Topic
Innovation Diffusion and Forecasting
Type
article
Field-Weighted Citation Impact
6.32

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article

Artificial intelligence adoption and corporate ESG performance: evidence from a refined large language model

Yiqiang Feng, Li Shen, Zhengrong Li, Zhanyu Zhang et al.
3 citations
Frontiers in Artificial Intelligence
Innovation Diffusion and Forecasting
6.32
article

Artificial intelligence adoption and corporate ESG performance: evidence from a refined large language model

Yiqiang Feng, Li Shen, Zhengrong Li, Zhanyu Zhang, Yongqing Liang
article en
3 citations

Abstract

The results reveal a robust positive relationship between AI adoption and ESG outcomes, primarily driven by enhanced green innovation and improved internal control quality. These effects are more pronounced among large and technology-intensive firms. Consistent with the Resource-Based View and the Technology-Organization-Environment framework, our findings underscore the importance of complementary assets and absorptive capacity in realizing the sustainability potential of AI. This study provides credible evidence on how and for whom AI fosters corporate sustainability, introduces a transparent approach to measuring authentic technology adoption, and highlights the emerging "digital ESG divide" with implications for targeted policy interventions.

Frontiers in Artificial IntelligenceVol. 8
Central University of Finance and Economics (CN), University of California, Los Angeles (US), National University of Singapore (SG)
National Office for Philosophy and Social Sciences
Openalex Percentile: Top 3%
Innovation Diffusion and Forecasting
6.32
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Artificial intelligence adoption and corporate ESG performance: evidence from a refined large language model — Yiqiang Feng, Li Shen, et al. · Frontiers in Artificial Intelligence (2025) | TGRS Research Map | TGRS