AI Industrialization is a policy paper that proposes the concept of "AI industrialization" as a framework to understand the evolving impact of artificial intelligence (AI) on technology, economics, and global governance. It analyzes the intial development of AI governance and commercial adoption in the U.S. and considers possible future pathways for scaling AI regulation as the innovation itself grows. The study emphasizes the need to govern AI through a multi-level approach: managing technical risks in frontier research, addressing economic concentration to support small and medium enterprises (SMEs), and promoting democratic diffusion to mitigate the global digital divide. By integrating interviews with policymakers, industry experts, and researchers, alongside case studies and open-source analysis, the paper identifies critical trends in AI regulation, including fostering innovation while ensuring accountability and inclusivity. It offers recommendations to align AI governance with public good objectives, emphasizing the importance of global collaboration and localized implementation strategies to ensure equitable technological progress.