The rapid proliferation of artificial intelligence (AI) technologies across global business ecosystems has created unprecedented legal challenges at the intersection of innovation and regulation. This study investigates the legal protection framework governing artificial intelligence implementation in business contexts, with a dual focus on laws safeguarding AI systems’ material infrastructure and the intellectual outputs they generate. The research addresses the fundamental question of rights attribution: to whom should ownership of AI-generated innovations, creations, and inventions be legally assigned? Additionally, it examines liability elements arising from AI deployment, encompassing both civil compensation frameworks and criminal responsibility paradigms. The study reveals significant protection gaps in current legal frameworks regarding AI-generated intellectual products through a rigorous descriptive-analytical methodology examining legislative texts and jurisprudential sources. The findings demonstrate complex intersections between technological capabilities and traditional legal doctrines, particularly regarding liability attribution. The research concludes with evidence-based recommendations for legislative reform, specifically advocating targeted amendments to intellectual property frameworks to accommodate the unique characteristics of AI components and their derivative innovations, thereby enhancing legal certainty in this rapidly evolving domain.