The accelerated adoption of artificial intelligence (AI) technologies is reshaping the landscape of customer engagement across global industries, with profound implications for India’s media, music, and entertainment sectors. This research explores the key challenges faced by AI-driven customer engagement in these industries in the Indian context and the transformative impact of emerging AI solutions. India’s media ecosystem is characterized by linguistic diversity, varying levels of digital literacy, and disparate consumer preferences—factors that complicate the deployment of scalable and personalized AI systems. In the music and entertainment domain, balancing algorithmic recommendations with cultural specificity and creative authenticity remains a persistent challenge. Furthermore, concerns around data privacy, algorithmic bias, and ethical content moderation present barriers to trust and widespread adoption.

Through a mixed-methods approach involving industry case studies, stakeholder interviews, and analysis of AI engagement tools, this paper identifies critical technological, regulatory, and socio-cultural hurdles. We also examine how advancements in natural language processing, machine learning personalization, and sentiment analytics are driving a paradigm shift in customer experiences, enabling deeper audience insights, real-time interaction, and tailored content delivery. Finally, the study proposes a framework for responsible and contextually aware AI integration that promotes inclusive engagement strategies and industry growth. The findings highlight both the opportunities and constraints of AI in transforming consumer engagement in India’s dynamic media, music, and entertainment sectors.