With the growing importance of sustainability, particularly associated with sustainable development goals (SDGs) that pursue growth in economy as well as environmental sustainability. Researchers have increasingly focused on SDGs due to their profound social impact and the urgent need to promote sustainability across sectors. In this premise, one of the new technologies, that is, Artificial Intelligence (AI), lies in its potential to offer an exclusive opportunity to address critical challenges related to sustainability. However, there is a paucity of systematic researches that explore AI’s role in attaining sustainability. Therefore, this study offers a comprehensive overview and unified perspective through the Bibliometric approach by examining 1,342 studies. The study also highlights a significant shift towards holistic approaches, with a marked increase in publications and empirical studies since 2019, indicating the field’s rapid growth and maturity.

Additionally, the findings highlight key journals, publications and contributors to this study and point to AI’s role in achieving sustainability in a variety of fields. It recognizes three crucial areas which will help both academics and practitioners in assessing their present trend of AI and sustainability practices, identifying potential research priorities and making informed decisions about AI investments for sustainable growth.

Artificial intelligence, sustainability, sustainable development, bibliometric analysis

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Ali, Z. A., Zain, M., Pathan, M. S., & Mooney, P. (2024). Contributions of artificial intelligence for circular economy transition leading toward sustainability: an explorative study in agriculture and food industries of Pakistan. Environment, Development and Sustainability, 26(8), 19131–19175.

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Boustani, N. M., Sidani, D., & Boustany, Z. (2024). Leveraging ICT and generative AI in higher education for sustainable development: The case of a Lebanese private university. Administrative Sciences, 14(10). https://doi.org/10.3390/admsci14100251

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Di Vaio, A., Palladino, R., Hassan, R., & Escobar, O. (2020). Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review. Journal of Business Research, 121, 283–314.

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Duan, Y., Edwards, J. S., & Dwivedi, Y. K. (2019). Artificial intelligence for decision making in the era of big data: Evolution, challenges and research agenda. International Journal of Information Management, 48, 63–71.

Elia, G., Margherita, A., & Passiante, G. (2020). Digital entrepreneurship ecosystem: How digital technologies and collective intelligence are reshaping the entrepreneurial process. Technological Forecasting and Social Change, 150, 119791.

Espinoza Vidaurre, S. M., Velásquez Rodríguez, N. C., Gambetta Quelopana, R. L., Martinez Valdivia, A. N., Leo Rossi, E. A., & Nolasco-Mamani, M. A. (2024). Perceptions of artificial intelligence and its impact on academic integrity among university students in Peru and Chile: An approach to sustainable education. Sustainability, 16(20). https://doi.org/10.3390/su16209005

Gajić, T., Ranjbaran, A., Vukolić, D., Bugarčić, J., Spasojević, A., Đorđević Boljanović, J., Vujačić, D., Mandarić, M., Kostić, M., Sekulić, D., Bugarčić, M., Drašković, B. D., & Rakić, S. R. (2024). Tourists’ willingness to adopt AI in hospitality: Assumption of sustainability in developing countries. Sustainability, 16(9). https://doi.org/10.3390/su16093663

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Khalid, J., Chuanmin, M., Altaf, F., Shafqat, M. M., Khan, S. K., & Ashraf, M. U. (2024). AI-driven risk management and sustainable decision-making: Role of perceived environmental responsibility. Sustainability, 16(16). https://doi.org/10.3390/su16166799

Kumar, A., Singh, P., Raizada, P., & Hussain, C. M. (2022). Impact of COVID-19 on greenhouse gases emissions: A critical review. Science of the Total Environment, 806, 150349.

Kumar, S., Lim, W. M., Pandey, N., & Westland, J. C. (2021). 20 years of electronic commerce research. Electronic Commerce Research, 21(1), 1–40.

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Lukic Vujadinovic, V., Damnjanovic, A., Cakic, A., Petkovic, D. R., Prelevic, M., Pantovic, V., Stojanovic, M., Vidojevic, D., Vranjes, D., & Bodolo, I. (2024). AI-driven approach for enhancing sustainability in urban public transportation. Sustainability, 16(17), 7763. https://doi.org/10.3390/su16177763

Min, X., Shen, L., & Ren, X. (2024). The role of clothing technology in supporting sustainable fashion in the post-COVID-19 era. Sustainability, 16(19). https://doi.org/10.3390/su16198287

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