AI Impact on Affiliate Markeng Bilal Baye Lebanese Internaonal University Bilalbay123@hotmail.com ABSTRACT This thesis explores the transformave impact of Arficial Intelligence (AI) on affiliate markeng within the U.S. health and wellness industry. It primarily invesgates how advancements in AI—parcularly in data analycs, customer interacon opmizaon (CIO), predicve modeling, and personalized content generaon—influence affiliate markeng strategies and customer experiences. Employing a mixed-method approach, the study combines quantave data from surveys of 400 parcipants with qualitave insights from in-depth interviews to provide a comprehensive analysis of AI’s strategic applicaons in markeng. The research reveals that AI significantly enhances markeng strategies by improving data analycs, which allows for precise customer targeng and opmized campaign efficiency. The integraon of AI-driven CIO is crucial in fostering personalized customer interacons, enhancing engagement and sasfacon. Meanwhile, predicve modeling has seen more cauous adopon, signaling a potenal area for future research. Furthermore, AI’s role in generang personalized content has proven pivotal in increasing the relevance and effecveness of markeng communicaons, directly impacng customer engagement metrics and sasfacon. The findings confirm that AI technologies not only support the operaonal aspects of markeng but also strategically improve customer interacons by proacvely meeng customer needs. In conclusion, the thesis asserts that AI is crucial in reshaping affiliate markeng within the U.S health and wellness sector, enhancing customer experiences and opmizing markeng efficiencies. These insights corroborate and extend exisng literature on the strategic applicaons of AI in markeng, indicang a significant potenal for AI to set new benchmarks in markeng pracces. As AI technology evolves, its integraon into affiliate markeng strategies is expected to provide increasingly sophiscated tools for boosng customer engagement and business success