The digital revolution has fundamentally transformed the landscape of intellectual property rights, challenging traditional frameworks that governed media licensing and fair use doctrine for decades. This study examines the evolution of U.S. intellectual property strategy in response to the emergence of global streaming platforms and artificial intelligence technologies that have disrupted conventional content distribution models. The research analyzes how streaming giants like Netflix, Amazon Prime, and Disney+ have navigated complex international licensing agreements while simultaneously challenging established fair use parameters through algorithmic content recommendation and user-generated derivative works. Furthermore, the integration of AI in content creation, from automated editing to generative media production, has created unprecedented questions about authorship, ownership, and the boundaries of transformative use under current fair use doctrine. The study employs a mixed-methods approach combining legal case analysis, policy examination, and industry stakeholder interviews to assess how U.S. intellectual property law has adapted to these technological disruptions. Key findings reveal significant gaps in current regulatory frameworks, particularly regarding cross-border licensing harmonization and AI-generated content classification. The research demonstrates that traditional fair use factors established in Campbell v. Acuff-Rose Music (1994) and subsequent precedents require substantial reinterpretation when applied to algorithmic transformations and global digital distribution networks. The analysis reveals that streaming platforms have fundamentally altered the economics of licensing, shifting from territorial exclusivity models to global simultaneous release strategies that challenge existing copyright frameworks. Simultaneously, AI technologies have introduced new categories of creative works that blur the lines between human authorship and machine-generated content, necessitating novel approaches to both licensing and fair use evaluation. The study examines how corporate governance frameworks and legal compliance mechanisms must evolve to address these challenges, drawing insights from recent developments in business law and regulatory analytics (Lawal et al., 2024). The intersection of intellectual property law and business strategy becomes particularly complex when considering AI-driven personalization in advertising and content targeting, which raises both legal and ethical concerns about user data utilization and content manipulation (Okesiji et al., 2024). The study concludes that U.S. intellectual property strategy must undergo comprehensive reform to address jurisdictional conflicts, establish clear AI authorship standards, and create flexible fair use guidelines that accommodate rapid technological evolution while preserving creator rights and promoting innovation in the global digital marketplace. The research emphasizes the critical role of advanced data analytics in developing effective legal strategies for risk management and regulatory adherence in this evolving landscape (Lawal et al., 2024). These findings contribute to ongoing discussions about venture strategy and business law in dynamic technological markets, particularly regarding the crafting of legal frameworks that can adapt to emerging challenges while maintaining competitive advantage.
Ajakaye et al. (Tue,) studied this question.