Artificial Intelligence in Climate and Sustainable Finance: A Blessing or a Curse?

ABSTRACT While there are concerns regarding the sustainability of artificial intelligence (AI), it is a potential ally in the transition toward a greener future. It offers advanced tools for data analysis; risk modeling; and environmental, social, and governance (ESG) assessment. This study provides a systematic literature review and bibliometric analysis on how machine learning techniques are being applied to address climate‐related financial challenges. The results reveal growing adoption of AI in areas such as emissions forecasting, green investment, and sustainability reporting. Based on the findings, there are several ongoing challenges related to data quality, interpretability, and algorithmic bias. While AI can enable a green transition, there are financial and ethical concerns that need to be addressed with robust governance, regulatory oversight, and institutional awareness to ensure that AI acts as a catalyst for financial stability and sustainable development.

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Publication Details

Journal
Journal of Economic Surveys
Published
2026-02-18
DOI
https://doi.org/10.1111/joes.70075
Primary Topic
Sustainable Finance and Green Bonds
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence in Climate and Sustainable Finance: A Blessing or a Curse?

Zbigniew Korzeb, Filippo di Pietro, Pilar Giráldez‐Puig, Pedro R. Palos‐Sánchez
Journal of Economic Surveys
Sustainable Finance and Green Bonds
article

Artificial Intelligence in Climate and Sustainable Finance: A Blessing or a Curse?

Zbigniew Korzeb, Filippo di Pietro, Pilar Giráldez‐Puig, Pedro R. Palos‐Sánchez
article en

Abstract

ABSTRACT While there are concerns regarding the sustainability of artificial intelligence (AI), it is a potential ally in the transition toward a greener future. It offers advanced tools for data analysis; risk modeling; and environmental, social, and governance (ESG) assessment. This study provides a systematic literature review and bibliometric analysis on how machine learning techniques are being applied to address climate‐related financial challenges. The results reveal growing adoption of AI in areas such as emissions forecasting, green investment, and sustainability reporting. Based on the findings, there are several ongoing challenges related to data quality, interpretability, and algorithmic bias. While AI can enable a green transition, there are financial and ethical concerns that need to be addressed with robust governance, regulatory oversight, and institutional awareness to ensure that AI acts as a catalyst for financial stability and sustainable development.

Journal of Economic Surveys
Bialystok University of Technology (PL), European Commission (BE), Bialystok School of Economics (PL), Joint Research Center (ES), Universidad de Sevilla (ES), Universidad Pablo de Olavide (ES)
Openalex Percentile: Top 53%
Sustainable Finance and Green Bonds
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Artificial Intelligence in Climate and Sustainable Finance: A Blessing or a Curse? — Zbigniew Korzeb, Filippo di Pietro, et al. · Journal of Economic Surveys (2026) | TGRS Research Map | TGRS