Abstract: With the maturation of artificial intelligence (AI) technologies,many companies have begun to innovate their business models using AI.This trend accelerated significantly following the successful release of ChatGPT 4.0,which has led numerous companies to integrate AI into their business strategies.Consequently,the innovation and evolution of business models have become focal points of discussion in both academia and the industry globally.

Despite the growing body of research on AI and business models in recent years,the findings on this topic are fragmented and there is a lack of a unified research framework for systematically understanding it.It is therefore challenging to identify the core themes in current research on AI and business models and key directions for future research.In response to this shortcoming in the literature,this study systematically reviews 70 key articles on AI and business models from leading international journals.By classifying and organizing this literature,the paper identifies four main research themes:① The impact of AI on business model innovation,including its influence on overall business models and their components;② Archetypes of business models based on AI;③ The evolution of business models enabled by AI;④ The co-evolution of AI capabilities and business models.Through summarising and analyzing current research,the paper proposes key areas for future research,including the impact of AI on business model innovation at firm and industry levels;the classification of AI-enabled business models into archetypes and the drivers and outcomes of each archetype;the interactive factors involved in,drivers of,and barriers to the evolution of AI-enabled business models;and the relationship between AI capabilities and business models from a co-evolutionary perspective.

This paper contributes to the field in three main ways.First,it synthesizes the themes and gaps in research on AI and business models,thereby advancing the study of business models in the age of AI.Second,it reveals that AI-enabled business models exhibit characteristics of complex adaptive systems,including self-iteration and adaptability.Finally,by systematically reviewing current research,it highlights future research directions,guiding subsequent studies on AI and business models.Overall,the paper provides new theoretical and practical insights into how AI is reshaping business models and outlines potential pathways for future research.

The paper is structured as follows.The first section discusses the theoretical and practical background of the study.The second section reviews and defines relevant concepts in AI and business models.The third section details the literature review process followed and analyses the 70 articles.The fourth section elaborates on the four research themes related to AI and business models identified in the study and discusses the gaps in the literature regarding these themes.The final section presents the conclusions of the study and the prospects for future research on this topic.