Abstract: With an emphasis on media applications, ethical considerations, and possible societal advantages, this study examines the revolutionary effects of generative AI on popular culture. In order to investigate how AI-generated contentfrom text and images to music and videos change creative expression and obfuscate the distinction between human and machine authorship, 38 academic and industrial sources were examined using a systematic literature review (SLR) methodology. Misinformation, intellectual property problems, and job displacement are among the major issues highlighted in the study. According to reports, deepfake-related fraud affects 92% of firms, and by 2030, creative occupations might decrease by as much as 30%. The study suggests a multifaceted approach that includes fairness auditing tools, blockchain authentication, digital watermarking, and ethical AI governance frameworks like the EU AI Act to allay these worries. The study concludes that, when used responsibly, generative AI may be a potent instrument for inclusive innovation and cultural growth, and it promotes cross-sector collaboration and responsible AI integration.