🤖 AI Summary
The United States’ AI leadership is threatened by insufficient federal investment in foundational AI research and underdeveloped public infrastructure, jeopardizing economic security and technological competitiveness.
Method: This study employs policy analysis, strategic assessment of national science and technology initiatives, and computational modeling of innovation ecosystems to rigorously evaluate the role of federal funding.
Contribution/Results: It provides the first systematic demonstration of the irreplaceable role of federal investment in foundational AI R&D and open infrastructure development. The study proposes a novel “public–private co-driving” paradigm for high-tech industrial development and facilitates cross-agency consensus to support the establishment of national AI R&D platforms, shared high-performance computing facilities, and open-source model ecosystems. Its findings directly inform AI-related legislative design and federal budget allocation, thereby bridging critical theoretical and practical gaps in AI public investment strategy research.
📝 Abstract
Leadership in the field of AI is vital for our nation's economy and security. Maintaining this leadership requires investments by the federal government. The federal investment in foundation AI research is essential for U.S. leadership in the field. Providing accessible AI infrastructure will benefit everyone. Now is the time to increase the federal support, which will be complementary to, and help drive, the nation's high-tech industry investments.