The United States launched its National AI Strategy as a result of three converging forces: technological transformation, great-power competition, and industrial security. First, AI has achieved breakthrough leaps, moving from labs to real-world deployment. Computing power, data, and algorithms have become the core assets for future tech competition. The U.S. government recognizes that AI will profoundly transform nearly every sector—including manufacturing, healthcare, defense, and finance—and securing leadership in this domain is critical.AIThe advantage lies in controlling the industrial rules and economic growth momentum for decades to come. Second, global tech competition is intensifying as other nations rapidly close the gap in artificial intelligence across all fronts, threatening the U.S.'s former technological leadership. Prior to this, the United StatesAIInnovation relies primarily on market-driven forces, lacking a unified national top-level plan. Federal research funding is fragmented, cross-departmental coordination is insufficient, and relying solely on corporate market power makes it difficult to sustain absolute leadership long-term. Third, domestic industry and security concerns are driving the need for top-level design. On one hand, U.S. domestic concerns center on risks in the supply chains for computing chips and critical components; on the other hand,AIPrivacy risks, algorithmic bias, deepfakes, and autonomous weapons are emerging as critical security challenges. The United States needs a national strategy that drives innovation while managing risks, integrating resources across government, academia, and industry to build unified national capacity.

Against this backdrop,2019 The Trump administration released the "U.S. Artificial Intelligence Initiative," marking America's first formal nationalAIStrategic implementation: The Biden administration updates the National Artificial Intelligence Research and Development Strategic Plan and issues safety measures.AIExecutive Order: Balancing Innovation and Security; U.S. Continues to Roll Out Follow-up MeasuresAIAction Plan: Although different administrations have varied in regulatory strictness, all have maintained U.S. global...AIMaintain consistent leadership.

 

United StatesAIThe overarching strategic positioning is: with national security and economic competitiveness as dual pillars, the government provides the platform while the market takes the lead, consolidating U.S. dominance in the global AI ecosystem and shaping international standards.AISetting standards, globally.AIMaintain a technological edge over competitors.

1. Nature PositioningA national long-term science and technology strategy—not a single industrial policy—spanning research, industry, talent, supply chains, diplomacy, and defense. The U.S. maintains market leadership: the federal government does not replace corporate innovation but instead lowers barriers and unlocks private-sector vitality through strategic guidance, funding, and institutional reform.
2. Targeting: Address short-term gaps in foundational areas and increaseAIInvest in fundamental research to retain top global talentAITalent to safeguard the security of computing power, chip, and data supply chains; mid-to-long-term goals include maintaining leadership in cutting-edge technologies and mastering globalAITechnical standards and the right to speak on governance rulesAITranslate advantages into economic and national security benefits.
3. Governance Positioning: The underlying logic of the U.S. strategy is “Innovation first, with safety guardrails in place.”Governments at different stages have adjusted regulatory intensity, but all oppose overregulation that stifles innovation. Simultaneously, they leverage export controls, investment reviews, and alliance diplomacy to shape a global environment favorable to U.S. companies.AICompetitive landscape.

 

United StatesAIThe strategy is built on a complete framework of multiple top-level documents, with core content divided into five key areas.

(I) Strengthen AI Basic Research

Strategy calls for sustained investmentAIFundamental scientific research focused on advancing core algorithms in machine learning, computer vision, natural language processing, and general artificial intelligence to driveAIEmpower Science (AI for Science), leveraging AI to accelerate scientific discovery in biomedicine, climate, and materials. The strategy mandates coordinated efforts among federal research agencies, breaking down barriers between universities, national laboratories, and industry to facilitate collaboration and drive the commercialization of foundational research.

(II) Ensure the security of core infrastructure such as computing power, chips, and data

Treat compute asAIA core strategic resource for the era. Accelerate the development of domestic computing power data centers and streamline approval processes; treat advanced semiconductor chips asAIInfrastructure foundation to drive chip manufacturing reshoring and ensureAIAchieve self-reliant and controllable chip supply chains. Simultaneously, enhance the supply of high-quality research data by opening non-classified federal research datasets to the public, establishing secure data-sharing mechanisms, and addressing the bottleneck of insufficient high-quality training data.

(III) Talent Development and Global Talent Attraction

On one hand, increaseSTEMInvest in education from primary and secondary schools to universities by expanding enrollment in AI-related programs to cultivate local talent.AIEngineers and researchers; meanwhile, continuously implement global talent attraction policies, streamline visas for top-tier research professionals, and build a globalAIEstablish a talent hub to attract top global AI researchers and prevent brain drain.

(IV) Risk Control and Responsible Innovation

For large language models and deepfakes,AIEstablish a security assessment mechanism for weapons, algorithmic bias, and privacy breaches. Requires high-level, cutting-edge capabilities.AIModel developers conduct safety testing and report to the government; establishAISecurity assessment framework to protect citizen privacy and prevent risksAISocial risks arising from misuse. Differentiate risks across scenarios to avoid one-size-fits-all regulation and reduce the innovation burden on small and medium-sized enterprises.

(V) International Strategy and Alliance Layout

This is a key step in maintaining global dominance. The United States, along with its allies, has builtAILead the governance alliance to set international technical standards; restrict cutting-edge technologies through export controls and foreign investment reviews.AILeakage of computing power, chip, and model technologies; promoting American-style standards globally.AIGovernance Philosophy: Unite Allies to Build Security TogetherAIEcosystem, shaping an international competitive landscape favorable to U.S. businesses, segmentationAITechnology “Faction”Consolidate technological hegemony globally.

 

United StatesAIThe strategy is essentially a comprehensive top-level policy framework designed to maintain global technological dominance. Leveraging the U.S.'s robust markets, capital, and research infrastructure, it elevates artificial intelligence to the level of national and national security priorities. It deploys resources across multiple dimensions: foundational research, compute supply chains, talent development, security, and international alliances. While this approach helps the U.S. sustain its long-term leadership in AI, it also intensifies global...AITechnological competition and the fragmentation into competing tech blocs.