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US SB232

US SB232: Preventing Algorithmic Collusion Act of 2025 Reviewed

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Disclaimer: This page provides general informational summaries only and does not constitute legal advice. AI-generated content may contain errors. Always consult a qualified attorney for guidance specific to your situation. Read full disclaimer →
AI Summary

SB232 aims to prevent anticompetitive conduct by prohibiting pricing algorithms that use nonpublic competitor data to facilitate collusion.

Business Impact

If you use pricing algorithms, ensure they do not use nonpublic competitor data to avoid antitrust violations.

State
United States (Federal)
Bill Number
SB232
Status
Introduced
Risk Level
Medium
Category
Comprehensive
Last Action
Jan 23, 2025
Last Verified
Apr 30, 2026
Data Updated
May 4, 2026
What do these statuses mean?
Introduced — Filed in the legislature; not yet heard in committee
In Committee — Assigned to and being reviewed by a legislative committee
Passed — Approved by one or both chambers; awaiting further action
Signed / Enacted — Signed into law by the governor; may or may not be in effect yet
Dead / Vetoed — Vetoed, failed to pass, or session expired without action
Unknown — Status data not yet available or awaiting classification

Affected Industries

Technology E-commerce Retail Law Enforcement

Topics How we classify →

What This Means

The Preventing Algorithmic Collusion Act of 2025 seeks to curb anticompetitive practices by targeting pricing algorithms that use nonpublic competitor data. It enforces violations through existing antitrust laws.

Key Provisions

Latest Legislative Action

Read twice and referred to the Committee on the Judiciary.

Compliance Checklist

Review pricing algorithms for compliance with nonpublic data usage restrictions
Who: Businesses utilizing pricing algorithms
Deadline: Not specified
Penalty: Potential fines and enforcement actions
Implement transparency measures in pricing strategies
Who: Businesses affected by the bill
Deadline: Not specified
Penalty: Potential fines and enforcement actions

Full Legal Analysis

SB232, titled the Preventing Algorithmic Collusion Act of 2025, is a federal bill introduced to address anticompetitive conduct facilitated by pricing algorithms. The bill specifically prohibits the use of pricing algorithms that can facilitate collusion through the use of nonpublic competitor data. It aims to enhance antitrust enforcement by creating a new tool for law enforcement, although the specifics of this tool are not detailed in the bill. The bill also emphasizes increasing transparency in pricing strategies, but it does not specify any particular transparency measures or require companies to provide algorithmic decision-making summaries to regulators. Enforcement of violations is to be carried out through the Sherman Act and the Federal Trade Commission Act. The bill may include additional provisions under 'other purposes' that are not detailed in the available text.

Official Source


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