Latest action: Referred to the House Committee on Energy and Commerce.
Referred to one or more standing committees for review, hearings, and possible markup.
Specific committees not parsed from action data.
The committee may hold hearings, amend the bill, or let it die without action.
Next: Reported
Full chamber floor — Speaker / Majority Leader controls scheduling
Requires companies to tell customers when they use personalized pricing algorithms.
The problem
Companies increasingly use algorithms to charge different prices to different customers based on personal data. Consumers often don't know this is happening, making pricing unfair and hard to understand.
The proposal
The bill would require businesses to disclose when they use algorithmic pricing. Companies must tell customers how the system works and allow people to opt out or request standard pricing.
The impact
Consumers gain transparency about pricing. Retailers and online businesses must change pricing systems. Digital platforms face new disclosure requirements and compliance costs.
People deserve to know when companies charge them different prices. Transparency helps consumers make better shopping choices and understand why prices vary. This prevents unfair treatment based on personal information.
When pricing is hidden, some customers get worse deals than others for the same product. Disclosure requirements create more equal market conditions. Competitors can't use secret pricing tactics to gain unfair advantages.
The opt-out option lets people choose standard pricing instead of algorithmic pricing. This empowers individuals to protect their shopping decisions from algorithmic manipulation.
Companies knowing they must disclose pricing may design fairer algorithms. Transparency requirements can push businesses toward more ethical pricing strategies.
Retailers must modify systems, create disclosures, and train staff. Small businesses especially may struggle with expensive compliance. These costs could lead to higher prices for everyone.
Companies use algorithms to offer discounts to loyal customers or adjust prices based on supply and demand. Forcing disclosure might limit these beneficial uses. Transparency rules could reduce helpful personalized discounts.
Companies might abandon useful algorithmic pricing systems rather than deal with complex regulations. This slows development of new pricing technologies that could help both businesses and customers.
It's unclear what counts as 'algorithmic pricing' versus regular pricing. Enforcement could be confusing and inconsistent. Companies might find loopholes or comply unevenly.
Generated by AI from the bill text. Not a prediction and not legal or policy advice. The percentage is the model's own rating of each item — self-reported, and not a measure of how accurate it is.
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Individual contributions, grouped by employer · FEC
Where their individual donors work · 2026 cycle
Money from people who work there, not from the company. Not tied to this bill.
Itemized individual contributions via FEC, grouped by the employer each contributor self-reported. Companies and unions cannot contribute to federal candidates from their treasuries, so these totals are money from people who work at an employer — never from the organization itself. They are campaign contributions covering a full election cycle and are not connected to this bill.
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