What is the Great American AI Act? The Great American AI Act is a 269-page bipartisan discussion draft unveiled in the U.S. House of Representatives on June 4, 2026 that would create the first comprehensive federal framework for artificial intelligence, including a three-year preemption of state laws that specifically regulate how powerful AI models are developed. For commercial real estate investors tracking a fast-growing patchwork of state AI rules, the urgent question is simple: would this bill erase your compliance obligations on AI-driven tenant screening, valuation, and underwriting? The short answer is no, and understanding why is essential. For the broader landscape this touches, see our guide to AI commercial real estate tools.
Key Takeaways
- The Great American AI Act would preempt state laws regulating AI model development for three years, but it expressly preserves state laws governing AI use and deployment.
- CRE-relevant rules on tenant screening, valuation, and lending regulate AI deployment, so they would survive preemption and remain enforceable.
- Only large frontier developers with more than $500 million in revenue would face new federal safety frameworks, semi-annual third-party audits, and incident reporting.
- The draft is bipartisan, led by Reps. Jay Obernolte and Lori Trahan, yet it drew immediate opposition from labor and consumer groups over the preemption clause.
- For CRE investors, the practical takeaway is to keep building AI governance now, because the state rules that touch your operations are not going away.
The Great American AI Act Explained
The Great American AI Act, sometimes shortened to GAAIA, was released by Representatives Jay Obernolte, a Republican from California, and Lori Trahan, a Democrat from Massachusetts, both members of the House Energy and Commerce Committee. Four colleagues joined them: Suhas Subramanyam of Virginia, Scott Franklin of Florida, Scott Peters of California, and Erin Houchin of Indiana. The 269-page draft arrived two days after President Trump signed a June 2, 2026 executive order asking AI companies for early federal access to new models, a sign Washington is moving from principles to statutory text. The bill rests on four pillars: frontier AI model governance, insight into AI's effect on the U.S. workforce, stronger cybersecurity, and new funding for AI research and development.
The most contested provision is the one CRE investors keep asking about. The draft would preempt state laws and regulations that specifically regulate the development of an AI model, with a three-year sunset. Critically, that preemption would not apply to laws governing the use or deployment of AI systems. States would keep the power to regulate how AI is actually used inside their borders; they would lose the power to legislate how the underlying models are built. The draft also preserves state laws covering civil rights, labor protections, copyright, child safety, and consumer privacy, and it would federalize frontier safety laws already on the books in California, New York, and Illinois.
Why Development Versus Deployment Matters for CRE
This development-versus-deployment line is the entire story for commercial real estate. The AI rules that actually reach your business do not regulate how OpenAI or Anthropic trains a model. They regulate how you deploy AI to make decisions about people and property. Consider the live examples:
- Tenant screening: The Colorado AI Act targets deployers who use AI for consequential housing decisions. That is a deployment rule, so it would not be preempted.
- Fair housing: HUD guidance under the Fair Housing Act on AI tenant screening and targeted advertising governs use, not model development. Industry groups such as the National Multifamily Housing Council continue to track it, and it would remain in force.
- Valuation and lending: State and federal rules on automated valuation models and AI underwriting apply to how the output is used in a transaction, not to how the model was trained.
In other words, the compliance work many CRE firms started in 2026 does not disappear if this bill passes. If anything, the draft underscores that the deployment layer, where your firm operates, is exactly where regulators intend to keep their authority.
What Would Change for Frontier AI Vendors
The Great American AI Act aims its hard obligations at a small set of companies: large frontier developers with more than $500 million in prior-year gross revenue. That captures OpenAI, Anthropic, Google, and a handful of peers, not the proptech vendors most CRE investors actually license. Those large developers would have to:
- Publish frontier AI frameworks describing whether a model could pose a catastrophic risk, defined as a foreseeable material risk of more than 50 deaths or injuries, or over $1 billion in property damage.
- Retain an Independent Verification Organization, licensed through the Center for AI Standards and Innovation, to perform semi-annual audits of safety compliance.
- Report critical safety incidents within 15 days and imminent risks within 24 hours, with liability up to $1 million per day for violations.
The draft formally codifies the Commerce Department's Center for AI Standards and Innovation, or CAISI, and authorizes roughly $100 million per year from 2027 to 2029 to fund it. For CRE investors, a single federal standard for the model makers could mean more stable, better-documented AI tools sitting underneath the property platforms you use every day. We covered the vendor side in our analysis of OpenAI's Frontier Governance Framework, which voluntarily mapped to the kind of disclosure this bill would mandate.
The Bigger Regulatory Picture
The bill does not arrive in a vacuum. It follows Trump's national AI framework, the June 2 executive order, and a year of state activity. Beyond preemption, the draft would extend the Cybersecurity Information Sharing Act of 2015 through fiscal 2035, protect AI whistleblowers, and raise fines for AI-enabled fraud. Research from the National Association of Realtors shows that most real estate activity now flows through data-driven digital tools, which is why a shifting AI rulebook matters even to operators who do not see themselves as tech companies.
Opposition was immediate. Brad Carson, president of Americans for Responsible Innovation, called the preemption a generational mistake, arguing it takes the current floor on state AI legislation and turns it into a federal ceiling. Public Citizen, Public Knowledge, and major labor unions including the American Federation of Teachers issued what one leader called a hard no. Because this is a discussion draft circulated for feedback, expect the preemption language to shift before any formal introduction. CRE investors should treat the three-year window as a proposal, not as settled law.
With the AI in real estate market projected to reach $1.3 trillion by 2030 at a 33.9% compound annual growth rate, and 92% of corporate occupiers already running AI programs while only 5% report achieving most of their AI goals, regulatory clarity is genuinely valuable. For personalized guidance on building an AI governance program that holds up under both state deployment rules and emerging federal standards, connect with The AI Consulting Network.
What CRE Investors Should Do Now
- Do not pause your compliance work. Deployment rules survive preemption, so your tenant screening and valuation obligations continue unchanged.
- Map your AI use cases. Document where AI touches consequential decisions on housing, credit, and pricing, mirroring the approach in Fannie Mae's new AI governance rules.
- Track the draft. Watch whether the $500 million threshold and the three-year sunset survive markup and formal introduction.
- Pressure-test vendors. Ask whether your AI providers would meet the bill's frontier framework, audit, and incident-reporting requirements.
CRE investors looking for hands-on AI implementation support can reach out to Avi Hacker, J.D. at The AI Consulting Network to translate this fast-moving policy landscape into a concrete operating plan.
Frequently Asked Questions
Q: Does the Great American AI Act eliminate state AI rules for landlords and CRE investors?
A: No. The bill would only preempt state laws that regulate AI model development. Rules that govern how AI is used or deployed, such as tenant screening and valuation requirements, are expressly preserved and would remain in force.
Q: Who would have to comply with the Great American AI Act?
A: The strict obligations apply to large frontier AI developers with more than $500 million in annual revenue, such as OpenAI, Anthropic, and Google. Most proptech tools and CRE platforms fall below that threshold, although their underlying models may be affected.
Q: When would the Great American AI Act take effect?
A: It is currently a discussion draft released June 4, 2026 for public feedback, not an enacted law. It must still be formally introduced, marked up, and passed by Congress, so both the timeline and the three-year preemption window could change significantly.
Q: How does this affect my AI tenant screening or underwriting compliance?
A: It does not reduce it. Because tenant screening and underwriting are deployment activities, state and federal use rules continue to apply. The practical move is to keep documenting and governing those AI workflows now.
This article is for educational purposes and does not constitute legal or investment advice. CRE investors looking for hands-on AI governance and implementation support can reach out to Avi Hacker, J.D. at The AI Consulting Network.