Artificial Intelligence (AI) has turned into modern marketing-oriented practices around the globe upside down. AI-oriented marketing authorizes companies to automate customer-based interactions, regulate consumer-based preferences, forecast the buying behavior & deliver targeted content immediately. AI-driven technologies for trades including recommendation-based engines, chatbot systems, voice-based assistants, predictive analytics as well as machine learning are becoming gradually popular to better engage to customers & increase marketplace performances. Generational inequality is critical in defining consumer reactions to AI-oriented marketing methods. Gen_Z, which incorporates most participants born in between 1997 & 2012, has grown-up in an environment profoundly dependent on technology & is known for having good cognizance of innovative & technological changes. Millennials who (born in between 1981 & 1996) also having high levels of digital experience but are rather more communally aware of moral & privacy issues related to AI-enabled systems. Gen_Z perception of AI-enabled marketing is paramount for institutions building customer-oriented marketing strategies. The companies also required to know how consumers having different age_wise groups make sense of personalization, consumer trust on product recommendations generated by AI & respond to automated-driven communication systems. From personalized references & predictive-based analytics, to chatbot systems, automated communication systems as well as consumer behavior tracking, Artificial Intelligence (AI) has been transformed the contemporary marketing ecosystem. The current research considers the perception towards AI-driven marketing in Gen_Z 7 Millennials as it also relates to consumer_trust (C_tru), personalization, privacy_concern (P_con), consumer_engagement (C_eng) & purchase_intention (P_int). In this research, a total sample of 229 respondents were gathered by using questionnaire-based designed to carry out the study. Statistical approaches together with descriptive statistics analysis, factor analysis, SEM, testing of reliability, correlation test analysis, regression test analysis were used to determine generational_differences (G_diff) on AI-driven marketing perceptions. Results show that Gen_Z is more passionate about personalization as well as interactive marketing-related tools based on AI although Millennials having fear related to privacy together with security of data relatively more.