Artificial intelligence AI is the leading technology that has transformed digital marketing strategies affecting diverse industries such as the pharmaceutical sector. The focus of this investigation into how AI can affect doctors’ prescribing decisions is the effects of interactions with pharmaceutical content targeting by digital marketing. Employing a qualitative method in this study, this paper synthesizes recommendations from a comprehensive literature analysis in order to investigate the relationship between AI applications, consumer buying behavior, and the potential societal effect of the use of AI in pharmaceutical promotional appeals. The study examines how AI improves paid advertising and makes it possible for pharmaceutical firms to produce content that will interest targeted groups that, in turn affects doctors’ interaction with promotional messages. Although AI can provide tangible benefits at the same time, sparking new efficiency and precision in the marketing, it is crucial to address some of ethical issues, including data privacy issues or potential bias, and negative consequences of very high-level algorithmization in marketing strategy. Research evidence indicates that AI technologies are conventionally instrumental in defining present and future marketing processes in the pharmaceutical industry. The study underscores the dual-edged nature of AI: its potential to provide notable social and professional rewards and at the same time, its potential to require the evaluation of its effects. This work is useful for stakeholders who would wish to get a better understanding about the effectiveness of AI in pharmaceutical digital marketing.