International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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Volume 8 Issue 3
May-June 2026
Indexing Partners
Harnessing Artificial Intelligence in Sustainable Investment: A Bird’s Eye View
| Author(s) | Dr. Mohd Imran, Dr. A W Farooqi, Mr. Ankit Yadav, Mr. Parth Kochar |
|---|---|
| Country | India |
| Abstract | Harnessing Artificial Intelligence in Sustainable Investment has remarkably commanded growing interest in how Artificial Intelligence (AI) will also reach another milestone in strengthening the ESG practices in the modern market scenario at a global level. The current study explores the holistic contribution of AI in sustainable investment. The historical background of sustainable investment, ESG, and AI Integration at the national level and globally, various challenges and opportunities in AI integration with sustainable investment have also been discussed within the current study. On the opportunity side, AI strengthens ESG data analytics, demystifies regulatory risks, optimizes portfolio allocation, and unveils greenwashing. But on the other hand, the Adoption of AI in sustainable investment also has negative consequences, including inferior data quality, inappropriate standardized ESG metrics, high costs of implementing AI in sustainable investment and ESG data analytics, and challenges related to ethical and regulatory compliance. In the last of the current study, the need for a transparent AI algorithm-based mechanism, skill upgradation of finance persons, a strict regular mechanism for AI integration in sustainable investment, and ESG data analysis, as well as the transparent and strict ethical adoption, have also been discussed as the need of the hour in Harnessing Artificial Intelligence in Sustainable Investment. Overall, the current research study provides a bird’s-eye view of AI integration in sustainable investment and ESG data analytics. |
| Keywords | Artificial Intelligence (AI), Sustainable Investment, Sustainable Finance, ESG |
| Field | Business Administration |
| Published In | Volume 8, Issue 1, January-February 2026 |
| Published On | 2026-01-15 |
| DOI | https://doi.org/10.36948/ijfmr.2026.v08i01.66629 |
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