Expert Available: China’s AI Breakthroughs Challenge U.S. Policies and Reshape Global Industry Dynamics | Newswise

China’s rapid advancements in AI have rivaled global leaders, with models like DeepSeek-R1 achieving performance comparable to OpenAI. At the 2025 World Economic Forum, experts noted that geopolitical restrictions pushed Chinese companies to develop competitive and cost-effective AI technologies. These breakthroughs are transforming the AI industry and strengthening China’s role in both digital and physical AI applications.

Faculty experts at the George Washington University are available to offer insight, analysis and commentary on emerging AI technology and global dynamics. If you would like to speak with an expert, please contact the GW Media Relations team at [email protected].

Jeffrey Ding is an Assistant Professor of Political Science at the George Washington University. Ding’s research interests center on emerging technologies and international politics. His forthcoming book manuscript investigates how technological revolutions affect the rise and fall of great powers. By analyzing historical cases of industrial revolutions that sparked power transitions and conducting statistical analysis on cross-country technology adoption, Ding has developed insights for how emerging technologies like AI could affect the U.S.-China power balance. Other research projects tackle how states should identify strategic technologies, innovation-centrism in assessments of national scientific and technological capabilities, and interstate cooperation on nuclear safety and security technologies.

Susan Ariel Aaronson, a research professor of international affairs at the George Washington University, is also the director of the Digital Trade and Data Governance Hub and co-PI at the NSF Trustworthy AI Institute, TRAILS. Her research focuses on AI governance, data governance, competitiveness in data-driven services such as XR, and AI and digital trade. Aaronson currently directs projects on governing data for generative AI, ensuring that data is globally accurate, complete, and representative and on AI protectionism. She can discuss what AI policy might look like under a Trump administration, including concerns around data protection, trustworthy AI and antitrust initiatives.

Aram Gavoor, Associate Dean for Academic Affairs; Professorial Lecturer in Law; Professor (by courtesy), Trachtenberg School of Public Policy & Public Administration at the George Washington University Law School. Dean Gavoor is an internationally recognized scholar in national security, American administrative law, artificial intelligence, and federal courts. He previously served as Senior Counsel for National Security in the Civil Division of the U.S. Department of Justice.

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