One Big Beautiful Bill Act 2025, Section 20005 ("Enhancement of Department of Defense resources for scaling low-cost weapons into production")

• Authority: United States Congress
• Parent authority: Federal government
• Jurisdiction: United States
• Collections: U.S. federal laws
• Most recent activity: Enacted
• Most recent activity date: 2025-07-04

Risk subdomain coverage

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

• AI system security vulnerabilities
• Disinformation, surveillance, and influence at scale
• Cyberattacks, weapon development or use
• Competitive dynamics
• AI possessing dangerous capabilities
• Lack of capability or robustness

All other risk subdomains had no coverage in this document.

Risk Coverage Summary

The document has minimal coverage of risk domains, with primary focus on malicious actors (4.2) through weapon development and cyberattacks, competitive dynamics (6.4) through rapid military AI deployment, and AI system capabilities (7.2) through dangerous military applications. Coverage is concentrated in national security and military AI deployment contexts.

Sector coverage

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

• National Security

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

• Agriculture, Mining, Construction & Manufacturing
• Information
• Professional & Technical Services
• Scientific Research & Development Services

All other sectors had no coverage in this document.

Sectors Summary

This document primarily governs the National Security sector through Department of Defense appropriations for military AI and technology development. It also has minimal coverage of Scientific Research and Development Services and Information sectors through defense innovation and technology programs.

Legislative Status

Hard Law

Legislative Status Summary

This is a binding legislative appropriations act from the United States Congress with mandatory funding allocations and legal obligations for the Secretary of Defense to execute specified programs.

Actors

Proposer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress
• Summary: The document is titled as an Act of Congress and uses legislative appropriations language indicating Congressional authorship and proposal authority.

Target

• Entity Types: AI_Governance_Actor, AI_Developer, AI_Deployer
• Entities: Secretary of Defense; Department of Defense; Office of Strategic Capital; Defense Innovation Unit; Strategic Capabilities Office; Mission Capabilities office; Test Resource Management Center; Cyber Command; Air Force
• Summary: The appropriations are directed to the Secretary of Defense for various DoD entities and programs that will develop, procure, and deploy AI and military technologies, making these entities both governance actors (as government agencies) and AI developers/deployers (as they will build and use AI systems).

Enforcer

• Entity Types: AI_Governance_Actor
• Entities: United States Congress; Department of Defense; Secretary of Defense
• Summary: Congress enforces through appropriations oversight and the Secretary of Defense has authority to execute and oversee the use of appropriated funds according to federal appropriations law.

Monitor

• Entity Types: AI_Governance_Actor
• Entities: United States Congress; Department of Defense
• Summary: Congressional oversight committees and DoD internal oversight mechanisms monitor appropriations execution and program implementation through standard federal budget monitoring processes.

AI Lifecycle Stages

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

No lifecycle stages identified.

Technical Scope

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

No technical scope terms identified.