AI PLAN Act
Download PDFSponsored by
Rep. Nunn, Zachary [R-IA-3]
ID: N000193
Bill's Journey to Becoming a Law
Track this bill's progress through the legislative process
Latest Action
Ordered to be Reported (Amended) by the Yeas and Nays: 52 - 0.
May 12, 2026
Introduced
π Current Status
Next: The bill will be reviewed by relevant committees who will debate, amend, and vote on it.
Committee Review
Floor Action
Passed House
Senate Review
Passed Congress
Presidential Action
Became Law
π How does a bill become a law?
1. Introduction: A member of Congress introduces a bill in either the House or Senate.
2. Committee Review: The bill is sent to relevant committees for study, hearings, and revisions.
3. Floor Action: If approved by committee, the bill goes to the full chamber for debate and voting.
4. Other Chamber: If passed, the bill moves to the other chamber (House or Senate) for the same process.
5. Conference: If both chambers pass different versions, a conference committee reconciles the differences.
6. Presidential Action: The President can sign the bill into law, veto it, or take no action.
7. Became Law: If signed (or if Congress overrides a veto), the bill becomes law!
Bill Summary
Another bill, another exercise in legislative theater. The AI PLAN Act - because who doesn't love a good acronym? Let's dissect this mess and see what's really going on.
**Main Purpose & Objectives**
The stated purpose of this bill is to defend against the economic and national security risks posed by artificial intelligence (AI) in financial crimes, including fraud and misinformation. How noble. In reality, it's just another attempt to appear proactive while doing nothing meaningful.
**Key Provisions & Changes to Existing Law**
The bill requires a strategy to be developed by various government agencies to combat AI-related financial crimes. This will involve submitting reports to Congress with descriptions of interagency policies, lists of available resources, and recommendations for legislative action. Because what we really need is more bureaucracy and paperwork.
**Affected Parties & Stakeholders**
The usual suspects: the Treasury Department, Homeland Security, Commerce Department, and various other agencies that will get to play a game of "AI-related financial crime whack-a-mole." Oh, and let's not forget the American businesses and government entities that will be expected to implement these new strategies. Because they don't have better things to do.
**Potential Impact & Implications**
The real impact of this bill? Zilch. It's a PR stunt designed to make it seem like Congress is doing something about AI-related financial crimes. Meanwhile, the actual problems will continue to fester, and we'll get more of the same old lip service from our elected officials.
But hey, at least we'll have some shiny new reports to add to the ever-growing pile of bureaucratic detritus. And who knows? Maybe one day we'll actually see some meaningful action on AI regulation. But I wouldn't hold my breath if I were you.
Diagnosis: This bill is suffering from a bad case of "Legislative Theater-itis" - a disease characterized by a complete lack of substance, an overabundance of bureaucratic jargon, and a healthy dose of cynicism. Prognosis? Terminal.
Related Topics
π° Campaign Finance Network
Rep. Nunn, Zachary [R-IA-3]
Congress 119 β’ 2024 Election Cycle
No PAC contributions found
No committee contributions found
Cosponsors & Their Campaign Finance
This bill has 7 cosponsors. Below are their top campaign contributors.
Rep. Himes, James A. [D-CT-4]
ID: H001047
Top Contributors
10
Rep. Begich, Nicholas J. [R-AK-At Large]
ID: B001323
Top Contributors
10
Rep. Moran, Nathaniel [R-TX-1]
ID: M001224
Top Contributors
10
Rep. Vindman, Eugene Simon [D-VA-7]
ID: V000138
Top Contributors
10
Rep. Gottheimer, Josh [D-NJ-5]
ID: G000583
Top Contributors
10
Rep. Gillen, Laura [D-NY-4]
ID: G000602
Top Contributors
10
Rep. McDonald Rivet, Kristen [D-MI-8]
ID: M001237
Top Contributors
10
Donor Network - Rep. Nunn, Zachary [R-IA-3]
Hub layout: Politicians in center, donors arranged by type in rings around them.
Showing 37 nodes and 39 connections
Total contributions: $234,999
Top Donors - Rep. Nunn, Zachary [R-IA-3]
Showing top 21 donors by contribution amount
Industry Impact
Which industries are materially affected by specific provisions in this bill. 2 helped,1 harmed.
- +AI & Cloud Infrastructure confidence 0.90
Section 2(b)(1)(B) and (C) require identification of hardware, software, technologies, and budgetary estimates to combat AI-enabled financial crimes, which would benefit AI and cloud infrastructure providers through increased demand for their products and services.
- +Cybersecurity confidence 0.90
Section 2(b)(1)(B) and (C) call for itemized lists of readily available resources, hardware, software, and technologies to combat AI-enabled financial crimes, which would benefit cybersecurity firms by driving demand for their defensive tools and services.
- βBig Tech Platforms confidence 0.70
Section 2(b)(2)(A)-(F) identifies risks like deepfakes, voice cloning, and synthetic identities that are often disseminated via big tech platforms, implying potential regulatory scrutiny or compliance burdens on these companies to mitigate AI-generated misinformation and fraud.
Who funds the sponsor on these industries
For each industry this bill affects, here's what the sponsor (Rep. Nunn, Zachary [R-IA-3]) received from donors associated with that industry during the 2022βpresent cycles. Donations are not proof of intent β they are a record of who funds the people writing the law.
Industries this bill HARMS
- Big Tech Platforms$3,300from 1contribution
- WALKER, KENT$3,300