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2025 Zhongguancun Forum Kicks Off In Beijing

How the U.S. Can Achieve Sustainable AI Leadership  

This report is part of the larger compendium “Future-Proofing U.S. Technology: Strategic Priorities Amid Chinese Tech Advancement.”

Read the full report

Read the full compendium

Much of today’s discussions on emerging technologies often equate national power with production and innovation, prioritizing the former. While these technologies have tremendous potential to benefit society, discourse is also centered on how competitors like the People’s Republic of China are progressing in these sectors and may threaten to surpass the United States. However, there is a flaw in the way we determine which country is ahead, leaving us to rely on flawed interpretations of power and competition. The United States needs a clear path to understanding and reinforcing its leadership in key technological sectors such as artificial intelligence.  

The notion of deregulation for innovation is alluring, but such federal regulatory ambiguity and uncertainty and the need to comply with varying state-level regulations ultimately leads to increased, and potentially burdensome, investment in resources for compliance efforts.  Additionally, along with direct AI regulation, the country also needs policies that encourage and foster an effective and resilient infrastructure and workforce; without them, the United States simply cannot maintain its global standing and further advance to keep pace with global competition. 

This report explores aspects of AI development the United States should prioritize to lead in the sector over the long-term. This includes aligning innovation with democratic values such as autonomy, privacy, transparency, and fairness as well as creating and deploying innovative AI products and services while making substantial investments in sustainable resources and infrastructures and maintaining a commitment to ethically sound policy for governance. 

  1. Develop federal comprehensive data privacy regulation that is technology-agnostic 
  2. Reconsider changes to the Foreign Agents Registration Act to protect domestic AI innovation from interference from foreign adversaries 
  3. Reform the student visa program to encourage employment in the United States and retention of trained talent 
  4. Funding for development of AI training programs at academic institutions to develop current students as well as potentially displaced workers 
  5. Restructure tariffs and continue support for semiconductor subsidies from the CHIPS and Science Act to stimulate reshoring domestic chip production  
  6. Dedicate additional resources and support for the U.S. Artificial Intelligence Safety Institute at the National Institute of Standards and Technology 
  7. Commit to international collaboration and global governance initiatives to maintain geopolitical power 


The views expressed in this article are those of the author and not an official policy or position of New Lines Institute.

Authors

Divya Ramjee

Guest Contributor

Evan Selinger

Guest Contributor

Footnotes