The rapid advancements in artificial intelligence (AI) are transforming numerous sectors, particularly biotechnology, where AI systems now play an active role in autonomous research and invention generation. This paper introduces, for the first time, the universal model of augmented invention—a hybrid legal category recognizing patentable outputs co-produced by human agents and AI under meaningful human oversight—and examines its implications for patent law in the biosciences. Focusing on inventorship, ownership, and patentability, the paper highlights the need to adapt patent frameworks to reflect AI’s accelerating impact on research timelines and innovation processes. It analyzes the economic incentives and ethical dimensions of AI-generated inventions, including equity, access, and accountability challenges, and proposes targeted reforms: statutory recognition of augmented inventorship, AI-specific disclosure requirements, and adaptive compulsory licensing triggers. These reforms aim to ensure that patent law both fosters technological progress and safeguards the public interest.