A systematic review of AI-driven business models for advancing Sustainable Development Goals
MD. Azam Khan, Arifur Rahman, Farhad Uddin Mahmud, Kanchon Kumar Bishnu, Mumtahina Ahmed, M. F. Mridha, Zeyar Aung
Abstract
Artificial Intelligence (AI) is changing how businesses operate and contributing to the United Nations Sustainable Development Goals (SDGs). This paper reviews how AI-driven business models support economic growth, environmental protection, and social well-being. It examines key technologies like machine learning, natural language processing, computer vision, and autonomous systems, and their use in industries such as healthcare, energy, and logistics. This paper introduces a comprehensive taxonomy that classifies AI technologies according to their roles in sustainable business models. The taxonomy outlines how different technologies contribute to data analysis, decision-making, process automation, and human-AI interaction, helping to explain how AI creates, delivers, and captures value aligned with the SDGs. The study also reviews recent works, outlining their achievements and limitations, particularly for underexplored SDGs. Common challenges, including ethical issues, resource limitations, and policy gaps are identified. The paper highlights the need for AI frameworks that are scalable, transparent, and inclusive. Finally, it suggests directions for future research, focusing on collaboration, innovative methods, and addressing current gaps to harness AI’s potential for sustainable development.