Watch now for a timely discussion by The Center for Data Innovation and The Asia Group on how AI governance is unfolding globally, the key tensions shaping global regulations, and what these developments mean in the United States, the Indo-Pacific, and beyond.

Watch now for a Capitol Hill event covering an in-depth survey by ITIF’s Center for Data Innovation and Public First about what of Americans thinks about AI, how these views have shifted over the past year, and the implications of these beliefs for businesses, policymakers, and society at large.

Watch now for a panel discussion exploring how threats from AI voice cloning are likely to develop, what countermeasures exist, and actionable steps policymakers can take to address both national and international threats.

Watch now for a panel discussion to explore the current landscape of AI applications in transitioning to a greener economy, identify key areas ripe for further exploration, and discuss actionable policy measures to foster innovation and adoption.

Watch now for a panel discussion exploring the hurdles impeding the widespread adoption of AI in the public sector and examining actionable steps to empower and facilitate the sector in harnessing the benefits of this cutting-edge technology.

The United States has seen fragmented efforts in AI regulation. Lacking coordination, these efforts failed to create a unified strategy, leaving the U.S. without a clear voice on AI.

This post is part of our ongoing series on China’s AI unicorns. Moonshot AI, a Beijing-based startup, rose quickly in China's AI market with its flagship chatbot Kimi, known for processing 2 million characters and a consumer-focused approach.

Last October, the U.S. Department of Justice (DOJ) proposed a sweeping set of remedies in response to an earlier court ruling that Google violated antitrust laws with its search business. While most attention has focused on the potential partial breakup of Google—the DOJ has proposed the divesture of the Chrome web browser and the Android mobile operating system—the proposed remedies would also have significant implications for U.S. competitiveness in AI.

From safer roads and efficient railways to streamlined air and sea travel, technology-driven modernization can transform the nation’s infrastructure—if the administration overcomes regulatory roadblocks and special interest opposition.

Mandatory labeling for AI-generated content, particularly through watermarking, is neither a reasonable nor effective solution to the issues policymakers seek to address. Rather than singling out AI-generated content, policymakers should prioritize building trust within the digital ecosystem as a whole.

This post is part of our ongoing series on China’s AI unicorns. Zhipu AI, China’s largest AI start-up by workforce, develops bilingual LLMs like GLM while advancing open-source and commercial AI innovation.

Five Chinese generative AI start-ups, known as "AI Tigers," have achieved unicorn status by 2025, highlighting China's rapid innovation and distinct strategies in the global AI race. This blog series delves into each of these five startups.