H.R. 6996 (Full AI Stack Export Promotion Act 2026)

Establishes U.S. policy to maintain AI dominance, promote U.S. AI technology globally, and counter Chinese influence. Instructs the Secretary of Commerce to facilitate AI exports and develop security measures. Initiates studies and reports on AI export success and global deployment impacts.

  • Authority: United States Congress
  • Parent authority: Federal government
  • Jurisdiction: United States
  • Collections: U.S. federal laws
  • Most recent activity: Proposed
  • Most recent activity date: 2026-01-09

Risk subdomain coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the risk subdomain are explicitly described.

  • AI system security vulnerabilities
  • Cyberattacks, weapon development or use
  • Competitive dynamics

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the risk subdomain are described.

  • Compromise of privacy
  • Disinformation, surveillance, and influence at scale
  • Governance failure
  • AI possessing dangerous capabilities

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has minimal coverage of AI risk domains, primarily focusing on competitive dynamics (6.4), AI system security vulnerabilities (2.2), and implicitly addressing malicious actor risks (4.2) through security measures. The primary focus is on promoting U.S. AI exports and maintaining dominance rather than comprehensively addressing AI risks.

Sector coverage

Good coverage — Comprehensive governance measures or mitigations with clear procedures relating to the sector are explicitly described.

  • Information
  • Scientific Research & Development Services
  • Public Administration (excl. National Security)
  • National Security

Minimal coverage — Brief mention but no specific mitigations, recommendations or governance measures relating to the sector are described.

  • Agriculture, Mining, Construction & Manufacturing
  • Professional & Technical Services
  • Educational Services
  • Health Care & Social Assistance

All other sectors had no coverage in this document.

Sectors Summary

The document primarily governs the Information sector (cloud computing, data processing, AI model services) and Scientific Research and Development Services sector (AI R&D). It also has implications for National Security through military applications and Public Administration through government implementation programs. The governance focuses on U.S. technology providers and exporters rather than regulating AI use within specific industry sectors.

Legislative Status

Hard Law

Legislative Status Summary

This is a Congressional Act (H.R. 6996) that uses mandatory legal language ('shall') throughout, establishing binding obligations on federal government officials to implement programs, submit reports, and develop strategies with specific timelines.

Actors

Proposer

  • Entity Types: AI_Governance_Actor
  • Entities: United States Congress; Senate and House of Representatives of the United States of America
  • Summary: The document is a Congressional Act proposed and enacted by the U.S. legislative branch, as indicated by the standard legislative preamble and structure.

Target

  • Entity Types: AI_Developer, AI_Infrastructure_Provider, AI_Governance_Actor
  • Entities: U.S. AI companies; industry consortia; United States firms; cloud operators; data center operators; artificial intelligence semiconductor designers; foreign purchasers of U.S. full AI stack; allies and partners
  • Summary: The Act targets multiple entity types: U.S. AI companies that develop and export AI technology (developers/infrastructure providers), government agencies implementing the programs (governance actors), and foreign governments purchasing U.S. AI systems.

Enforcer

  • Entity Types: AI_Governance_Actor
  • Entities: Secretary of Commerce; Secretary of State; Secretary of Defense; Secretary of Energy; Committee on Foreign Affairs of the House of Representatives; Committee on Banking, Housing, and Urban Affairs of the Senate
  • Summary: Multiple cabinet-level officials are designated with enforcement and implementation authority, with congressional committees providing oversight through mandatory reporting requirements.

Monitor

  • Entity Types: AI_Governance_Actor
  • Entities: Secretary of Commerce; Director of National Intelligence; Secretary of State; Committee on Foreign Affairs of the House of Representatives; Committee on Banking, Housing, and Urban Affairs of the Senate
  • Summary: The Secretary of Commerce is designated to conduct ongoing monitoring through the AI Export Success Tracker with biannual reporting, in coordination with intelligence and diplomatic agencies, with congressional committees receiving reports.

AI Lifecycle Stages

Lifecycle stages covered by the documents, as defined in the OECD Framework for the Classification of AI Systems

  • Build and Use Model
  • Deploy
  • Operate and Monitor

AI Lifecycle Summary

The document primarily focuses on the Deploy and Operate and Monitor stages of the AI lifecycle, with emphasis on global deployment of U.S. AI technology and ongoing monitoring through security measures and success tracking. It does not substantively cover earlier stages like planning, data collection, or model building.

Technical Scope

Terms relating to technical scope that are mentioned or implicitly referenced in the document

  • AI Models
  • AI Systems
  • Compute Threshold

Technical Scope Summary

The document explicitly mentions AI models and AI systems, focusing on the 'full AI stack' concept which encompasses models, computing infrastructure, cloud services, and semiconductors. It uses compute capacity metrics (FLOP/s) but does not define specific compute thresholds for classification. It does not explicitly distinguish between frontier AI, general purpose AI, task-specific AI, foundation models, generative AI, or predictive AI.

https://www.congress.gov/119/bills/hr6996/BILLS-119hr6996ih.xml
https://agora.eto.tech/instrument/2770
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Document data from AGORA, CSET Emerging Technology Observatory.