The Us Ai Opportunity Global Leadership Starts At Home
Summary
A paper by multiple experts, including Harry Summers and Keegan McBride, published on December 3, 2025, argues that the United States' global leadership in AI hinges on its domestic application of the technology within government. While America's AI Action Plan, released in July 2025 with over 90 directives, establishes a strong foundation for innovation and global influence, the paper emphasizes the need for a clear domestic vision to transform government itself. This transformation involves creating a 21st-century governance model that is always-on, personalized, preventative, and data-driven. It outlines four essential building blocks: skilled people, modern data and compute infrastructure, adaptive policy and regulation, and agile procurement and partnerships. By 2030, this could lead to a public sector featuring Digital Public Assistants, Multidisciplinary AI Support Teams (MAST), National Policy Twins, and a National Data Spine, demonstrating a credible blueprint for other nations.
Key takeaway
For Policy Makers and Directors of AI/ML overseeing national digital transformation, your focus must shift from pilot projects to system-wide AI integration. You should prioritize investing in the four building blocks—people, data/compute, policy, and procurement—to create a 21st-century governance model. This approach will not only enhance public services and operational efficiency domestically but also solidify your nation's global leadership and influence in the AI era by providing a tangible, emulable model.
Key insights
US global AI leadership requires demonstrating effective domestic AI-enabled governance, moving beyond incremental change to systemic reform.
Principles
- AI diffusion is as critical as invention for national power.
- Domestic AI adoption strengthens international credibility.
- Government must invest in people, data, policy, and procurement.
Method
Implement a four-pillar strategy: recruit AI talent, build secure data/compute infrastructure, develop adaptive policy, and create agile procurement pathways.
In practice
- Deploy AI for people-facing services like Digital Public Assistants.
- Use AI for back-office efficiency, e.g., automating transactions.
- Integrate AI for strategic decision-making and policy development.
Topics
- AI Governance
- Public Sector AI
- National AI Strategy
- Digital Transformation
- AI Infrastructure
- Policy Development
Best for: Policy Maker, Consultant, Director of AI/ML
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Editorial summary, takeaway, and curation by AIssential. Original article published by Insights | Tony Blair Institute for Global Change (TBI).