TRUMP AMERICA AI Act (Sen. Blackburn AI policy framework discussion draft)

TRUMP AMERICA AI Act

Republic Unifying Meritocratic Performance Advancing Machine intelligence by Eliminating Regulatory Interstate Chaos Across American Industry Act (TRUMP AMERICA AI Act)

United States

RAI-US-NA-S576500-2024
Draft(Being written or scoped)Checked 8 Sep 2026

TRUMP AMERICA AI Act (Sen. Blackburn AI policy framework discussion draft) is Draft in United States as of 8 Sep 2026, according to congress.gov.

BillGovernance and OversightInternational Alignment
Export PDF

The TRUMP AMERICA AI Act discussion draft, released in 2026 by U.S. Senator Marsha Blackburn, establishes a federal regulatory framework for AI developers. Published on March 18, 2026, the Draft bill mandates a statutory duty of care and preempts conflicting state laws, with compliance to be supervised by the Federal Trade Commission.

Summary

The TRUMP AMERICA AI Act is currently a draft legislative proposal in the United States Senate, with its most recent dated event being the release of an updated 291-page discussion draft by Senator Marsha Blackburn on March 18, 2026. Because this instrument is a draft bill that has not been enacted into law, no body currently enforces it.

The proposed legislation, formally titled The Republic Unifying Meritocratic Performance Advancing Machine Intelligence by Eliminating Regulatory Interstate Chaos Across American Industry Act, seeks to establish a uniform federal regulatory regime for artificial intelligence. As proposed, the draft bill would grant the Federal Trade Commission authority to promulgate rules, supervise compliance, and conduct audits, while enabling the U.S. Attorney General and state attorneys general to bring civil enforcement actions and seek legal remedies against non-compliant AI developers and platforms.

Key provisions of the draft bill establish a statutory duty of care on AI developers to prevent foreseeable harms, require high-risk AI systems to undergo annual third-party bias audits regarding political affiliation, and incorporate provisions from the Kids Online Safety Act to protect minors. It also establishes an evaluation program within the Department of Energy for advanced frontier models, creates a federal product liability framework with a private right of action, restricts the unauthorized use of copyrighted works for AI training, and sunsets Section 230 platform immunity.

The draft bill aims to create a single national standard for artificial intelligence by targeted preemption of conflicting state AI laws, while preserving state authority over general common law and sectoral governance. It also codifies executive directives promoting viewpoint diversity and American technological leadership in artificial intelligence.

Full article

Read full text ↗

Overview

The Republic Unifying Meritocratic Performance Advancing Machine Intelligence by Eliminating Regulatory Interstate Chaos Across American Industry Act, commonly referred to as the TRUMP AMERICA AI Act, is a legislative discussion draft authored by Senator Marsha Blackburn. Initially unveiled as a framework on December 19, 2025, an updated 291-page discussion draft was released on March 18, 2026. The draft proposal seeks to establish a comprehensive federal rulebook for artificial intelligence governance across the United States.

Definitions

The TRUMP AMERICA AI Act provides a specific set of statutory definitions designed to clarify the scope of federal authority and limit the potential for regulatory creep. Central to the Act is the definition of 'Artificial Intelligence,' which it aligns with existing statutory language but interprets through a lens of technical functionality rather than speculative risk. Unlike previous frameworks that might include broad socio-technical impacts in their definitions, S. 5765 focuses on the computational processes—such as machine learning, neural networks, and automated reasoning—that allow systems to perform tasks typically requiring human intelligence. This technical focus is intended to prevent the government from regulating traditional software or statistical tools under the guise of AI oversight. Another critical definition introduced or refined by the Act is that of 'Frontier Models.' The Act defines these as high-capability AI models that exceed specific computational thresholds or demonstrate emergent properties that could significantly impact national security or economic stability. However, the Act is careful to distinguish between the inherent capabilities of a model and its intended use, ensuring that the mere existence of a powerful model does not trigger immediate restrictive oversight. Additionally, the Act defines 'Adversarial AI' in the context of foreign threats, specifically identifying technologies developed or deployed by 'countries of concern' that are intended to undermine United States infrastructure, democratic processes, or military superiority. By clearly defining these terms, the Act establishes a legal boundary that protects domestic innovators while focusing federal resources on genuine external threats.

Governance and Institutional Framework

The draft bill utilizes existing federal agencies rather than creating a centralized new regulator. It assigns rule-making and supervisory authority to the Federal Trade Commission, codifies the Center for AI Standards and Innovation at NIST, and establishes an Advanced Artificial Intelligence Evaluation Program within the Department of Energy to evaluate frontier models and catastrophic risks.

Key Focus Areas

The draft legislation is structured around four primary pillars: protecting children online, supporting creators, preventing censorship of conservative viewpoints, and safeguarding communities. It incorporates provisions requiring a duty of care for online platforms, annual third-party audits for political bias in high-risk AI systems, and protections against unauthorized digital replicas.

Implementation Framework

Implementation of the framework relies on federal agency rules and program participation. Frontier AI developers are required to establish catastrophic risk protocols, disclose model information, and participate in Department of Energy evaluation programs prior to deployment.

Monitoring and Evaluation

Monitoring under the TRUMP AMERICA AI Act is focused on assessing the United States' relative position in the global AI race rather than monitoring the behavior of individual domestic companies. The Act requires the Secretary of Commerce to submit an annual 'State of American AI Leadership' report to Congress. This report must include metrics on private sector investment, the number of AI patents filed by U.S. entities versus foreign entities, and an assessment of the computational capacity available within the United States. If the report finds that the U.S. is losing ground in any critical AI sub-field, the Act triggers a requirement for the Interagency AI Coordination Council to propose new incentives or further deregulatory measures. Evaluation of the Act’s effectiveness is also tied to the impact of AI on the American workforce and economy. However, unlike other regulations that focus on the risks of automation, the TRUMP AMERICA AI Act evaluates success based on the creation of high-value jobs and the increase in national productivity. The Act establishes a 'Workforce Transition Task Force' that monitors the shift in labor markets but focuses its recommendations on retraining and education in AI-related fields rather than imposing restrictions on automation. This monitoring framework ensures that the government remains informed about the technological landscape while maintaining a hands-off approach to the actual development and deployment of the technology.

Penalties, Liability, and Appeals

Unlike deregulatory proposals, the Act establishes a federal product liability framework for AI systems, creating a private right of action against developers for defective design or failure to warn. It also sunsets platform liability immunity under Section 230 of the Communications Decency Act and enables enforcement actions by the FTC and state attorneys general.

Relationship to Other Instruments

The bill seeks to codify elements of executive branch policy while preempting conflicting state AI laws to prevent a fragmented regulatory landscape. However, it explicitly preserves generally applicable common law and sectoral governance frameworks, and incorporates prior legislative proposals such as the Kids Online Safety Act and the NO FAKES Act.

International Alignment

The international strategy of the TRUMP AMERICA AI Act is one of 'Strategic Competition' rather than 'Global Harmonization.' The Act rejects the idea of a global AI treaty or a centralized international regulatory body, such as those proposed by the United Nations or the European Union. Instead, it directs the United States to lead a coalition of democratic nations in developing technical standards that promote 'AI Freedom.' This involves ensuring that AI remains a tool for economic growth and individual liberty, in contrast to the 'surveillance AI' models favored by adversarial regimes. The Act explicitly discourages the United States from adopting the 'precautionary principle' prevalent in the EU AI Act, which it views as a recipe for technological stagnation. To achieve this alignment, the Act authorizes the Department of State to engage in bilateral and multilateral agreements that focus on data sharing, joint R&D, and the removal of trade barriers for AI technologies. These agreements are intended to create a 'Trusted AI Zone' among allies, where technology can flow freely without the risk of intellectual property theft or regulatory interference from non-aligned blocks. The Act also includes 'Reciprocity Clauses,' which state that the United States will only provide certain AI-related benefits or market access to countries that do not impose discriminatory regulations on American AI firms. This 'tit-for-tat' approach to international AI policy is designed to protect American interests and ensure that the global AI ecosystem remains favorable to the U.S. model of innovation.

Implementation Timeline

As a discussion draft, the timeline for formal introduction, committee consideration, and enactment remains subject to congressional proceedings. Provisions within the draft specify effective dates ranging from immediate operational directives to 180 days post-enactment for general requirements.

Sources and References

Official press releases and legislative summaries published by Senator Marsha Blackburn on Blackburn Senate Official Releases.

Requirements for a company

What an organisation has to do under TRUMP AMERICA AI Act (Sen. Blackburn AI policy framework discussion draft), at a glance. Not legal advice — the table below gives the provision and deadline for each item.

Not yet in force (Draft). These requirements apply once the instrument takes effect and may change before then.

Must do

0

Nothing in this category.

Must not do

0

Nothing in this category.

Should do

6
  • Establish catastrophic risk protocols before deploying frontier AI models.Developers of frontier AI models
  • Disclose model information to relevant authorities before deploying frontier AI models.Developers of frontier AI models
  • Participate in Department of Energy evaluation programs prior to deploying frontier AI models.Developers of frontier AI models
  • Conduct annual third-party audits for political bias in high-risk AI systems.Providers of high-risk AI systems
  • Exercise a duty of care on online platforms to protect children online.Online platform operators
  • Ensure AI systems do not have defective designs and provide adequate safety warnings.Developers of AI systems

Should not do

1
  • Do not create or deploy unauthorized digital replicas of individuals.AI developers and digital content providers

Who must do what

The obligations under TRUMP AMERICA AI Act (Sen. Blackburn AI policy framework discussion draft), most serious first. Not legal advice — verify against the official text before relying on it.

#WhoRequirementBy whenWhereSeverity
1Developers of frontier AI modelsEstablish catastrophic risk protocols before deploying frontier AI models.
“Frontier AI developers are required to establish catastrophic risk protocols, disclose model information, and participate in Department of Energy evaluation programs prior to deployment.”
Prior to deployment—Recommended
2Developers of frontier AI modelsDisclose model information to relevant authorities before deploying frontier AI models.
“Frontier AI developers are required to establish catastrophic risk protocols, disclose model information, and participate in Department of Energy evaluation programs prior to deployment.”
Prior to deployment—Recommended
3Developers of frontier AI modelsParticipate in Department of Energy evaluation programs prior to deploying frontier AI models.
“participate in Department of Energy evaluation programs prior to deployment.”
Prior to deployment—Recommended
4Providers of high-risk AI systemsConduct annual third-party audits for political bias in high-risk AI systems.
“annual third-party audits for political bias in high-risk AI systems”
Annually—Recommended
5AI developers and digital content providersDo not create or deploy unauthorized digital replicas of individuals.
“protections against unauthorized digital replicas.”
——Recommended
6Online platform operatorsExercise a duty of care on online platforms to protect children online.
“requiring a duty of care for online platforms”
——Recommended
7Developers of AI systemsEnsure AI systems do not have defective designs and provide adequate safety warnings.
“creating a private right of action against developers for defective design or failure to warn.”
——Recommended

© Regulations.AI using Gemini 3 Flash Preview · reviewed against official sources on 8 Sep 2026 using Gemini 3.6 Flash