H.R. 9371

H.R. 9371: To require disclosure when personalized algorithmic pricing is used, and for other purposes.

Introduced Suhas Subramanyam (D) HOUSE_BILL — 119th Congress
Plain English Summary

H.R. 9371 is a proposed bill that aims to mandate companies to disclose when they are using personalized algorithmic pricing strategies. This means that if a business adjusts its prices based on individual customer data or behavior, it must inform consumers about this practice. The bill seeks to promote transparency in pricing to help consumers understand how their data may influence the prices they see.

Positive Media Summary

Supporters of H.R. 9371 have praised the bill for enhancing consumer transparency and protecting individuals from potentially unfair pricing practices. Advocates argue that by requiring companies to disclose the use of algorithmic pricing, consumers will be better informed and can make more educated purchasing decisions, ultimately fostering trust in the marketplace.

Negative Media Summary

Critics of H.R. 9371 express concerns that the bill could impose excessive regulatory burdens on businesses, particularly small enterprises that may struggle to comply with disclosure requirements. Some argue that the legislation could stifle innovation in pricing strategies and lead to less competitive markets, ultimately harming consumers rather than helping them.

Conflict of Interest Analysis Deep Analysis
2/10
Risk Level
Low
Total Donations
$0
PAC Percentage
0%
Policy Area
Commerce

The analysis of H.R. 9371, which focuses on the disclosure of personalized algorithmic pricing, reveals no direct industry overlaps between the sponsor Suhas Subramanyam's top donor industries and the bill's subject matter. The top donors primarily come from sectors such as healthcare and technology, which do not directly pertain to the regulation of algorithmic pricing. While there is lobbying activity in the policy area, the amounts from these entities do not suggest a significant financial influence that could create a conflict of interest regarding the bill's intent. For instance, OSF Healthcare System contributed $60,000, but their interests do not align with the specifics of algorithmic pricing disclosure. Therefore, the risk of conflict is assessed as low.

Lobbying Activity — Who's Pushing?

Organizations that lobbied on issues related to this bill's policy area.

Client Lobbying Firm Amount
OSF HEALTHCARE SYSTEM OSF HEALTHCARE SYSTEM $60,000
EGAN-JONES RATINGS COMPANY INVARIANT LLC $50,000
GRADIUM MEGA COIN HARTWELL CAPITOL CONSULTING $50,000
DRAI HEALTH HARTWELL CAPITOL CONSULTING $50,000
VALTHOS INC. INVARIANT LLC $40,000
SANDY BAY PARTNERS, LLC GRACE BAY STRATEGIES, LLC $20,000
ORGANOGENESIS DONOVAN STRATEGIES LLC $15,000
ANTENNA RESEARCH ASSOCIATES DONOVAN STRATEGIES LLC $15,000
NETSCOUT DONOVAN STRATEGIES LLC $10,000
ALLLIANCE OF MARINE MAMMAL PARKS AND AQUARIUMS MEA STRATEGIES LLC undisclosed
REGIONAL FISHERIES ENHANCEMENT GROUP COALITION ALL OF THE ABOVE CONSULTING, LLC undisclosed
JACKSON WALKER LLP ON BEHALF OF SAN MIGUEL ELECTRIC COOPERATIVE, INC. INVARIANT LLC undisclosed
ANTHEIA INVARIANT LLC undisclosed
RAILROAD INVESTIGATION PROJECT GROUP EAGLE 1 RESOURCES, LCC undisclosed
EAGLE 1 RESOURCES, LCC EAGLE 1 RESOURCES, LCC undisclosed

Source: Senate Lobbying Disclosure Act (LDA) filings, 2026

Sponsor's Top Donor Industries

Top industries funding Suhas Subramanyam, ranked by total contributions.

Health Professionals $120,000,000
Individuals: $120,000,000 PACs: $0
Retired $37,500,000
Individuals: $37,500,000 PACs: $0

Source: OpenSecrets.org (Center for Responsive Politics)

TheBillRoom is free and independent. No ads, no subscriptions, no political funding. If this analysis was useful, reader support keeps it running.
Support Us