AI-driven Strategies for Sustainable Business Development: Lessons and Innovations Post-2008 Economic Crisis

In this paper, the main aim concerns the impact of AI as a driving force behind sustainable business strategies analysed after the 2008 financial crisis. Although there are some existing empirical studies regarding the impact of AI on the sustainability and growth of enterprises during financial crises, there is still room for further research and empirical contributions. Thus, by using a systematic review of literature and appropriate case studies, this research seeks to analyse how AI-driven approaches have been incorporated into operations for improved sustainability and efficiency in the post-crisis era. Methodologically, this study adopts a mixed method approach whereby case studies’ qualitative analyses and quantitative data evaluation stand alongside one another to grasp the big picture of AI’s effect. Finally, the results show that AI has provided sufficient support to sustainable business, which promotes economic revival and the formation of resistant future-focussed strategies. Thus, this paper provides contribution towards understanding technology-sustainability linkage with economic recovery for policymakers, practitioners, and researchers.