The rapid advancement of artificial intelligence in creative art has disrupted traditional notions of authorship, originality, and copyright protection, raising complex, legal, and ethical questions. This paper explores the regulatory and policy challenges of generative AI art in the arena of copyright. It aims to explore the ever-revolving idea of authorship in the context of contemporary technology. The research identifies 14 key enablers for copyright integration categories by interpreting structural modelling into strong, medium, and weak factors. The paper highlights the unique challenges of distinguishing stylists, inspiring from infringement, ensuring ethical data sourcing, and balancing innovation with artistic rights. It advocates for dynamic licensing models, technological safeguards, and alternative dispute resolution to address the conflict efficiently and more speedily. By reviewing the present legal framework, case studies, contemporary academic literature, and industry standards, the study highlights the urgent need for a paradigm shift in copyright law with multi-stakeholder collaboration for the future ahead. The findings suggest that a multi-stakeholder approach involving legislators, policymakers, industry leaders, and artists is crucial for crafting a sustainable copyright regime. Without regulatory clarity, AI-generated content risks undermining traditional artistic endeavours and disrupting the existing intellectual property landscape. Therefore, the study advocates for comprehensive legal reforms that accommodate AI’s transformative potential while safeguarding the rights of human creators.