New York Implements Groundbreaking Pricing Transparency Law
On May 9, 2025, New York Governor Kathy Hochul signed into law the Algorithmic Pricing Disclosure Act (“the Act”), marking a significant step toward consumer protection in the age of digital commerce. The new law, which became effective on July 8, 2025, is the first of its kind in the United States and mandates transparency from businesses that use consumer data to dynamically set prices.
The Act obligates companies to explicitly inform consumers when pricing is determined through algorithms that utilize personal data. This initiative represents an evolving regulatory focus on the use of artificial intelligence (AI) and data analytics in commerce, particularly when it affects pricing strategies and consumer access to goods and services.
Understanding the Scope of the Act
The Algorithmic Pricing Disclosure Act is part of the broader Transportation, Economic Development and Environmental Conservation Bill (“TED Bill”). While the Act does not directly reference AI, it addresses business practices that rely on similar technologies for price personalization. The law aims to shield consumers from potentially deceptive pricing tactics that exploit personal information.
Under the Act, businesses must provide a clear and conspicuous disclosure stating: “This price was set by an algorithm using your personal data”, whenever pricing is determined based on consumer-specific data. Failing to make this disclosure is considered a deceptive act or practice under New York law.
Key Definitions Under the Act
The legislation defines several critical terms that shape its enforcement:
- Personalized Algorithmic Pricing: Pricing that is determined by algorithms using individual consumer data.
- Dynamic Pricing: Prices that fluctuate based on changing conditions or inputs.
- Consumer Data: Information that identifies or can be reasonably linked to a specific person or device, excluding location data.
- Protected Class Data: Details identifying characteristics protected against discrimination by law, including but not limited to race, gender, disability, sexual orientation, and reproductive health status.
These definitions provide a framework for identifying when disclosures must be made and what kind of data usage could potentially expose businesses to legal liability.
Legal Ramifications for Non-Compliance
The Act includes robust enforcement mechanisms. The New York Attorney General has the authority to initiate legal action against companies that fail to comply with the disclosure requirements. Businesses found in violation may be subject to injunctions and substantial financial penalties for each instance of non-compliance.
Further, the law establishes a private right of action for consumers. Individuals may sue if their protected class data was used in a manner that led to:
- Denial or withholding of benefits, services, or pricing made available to others.
- Offering different pricing based in part or in whole on protected class data.
This provision significantly raises the stakes for businesses, as it opens the door to individual lawsuits and class actions, in addition to regulatory enforcement.
Implications for Businesses Using Dynamic Pricing
Companies that use algorithmic tools to personalize pricing must now review their data usage policies and pricing algorithms to ensure compliance with the new law. This includes determining whether their systems use identifiable consumer data and assessing whether they are making the mandated disclosures accurately and prominently.
Failure to comply could result in reputational damage, legal costs, and regulatory penalties, making it imperative for businesses to seek legal guidance. They must also evaluate whether their pricing models inadvertently rely on protected class data, which could expose them to discrimination claims under the Act.
Steps Toward Compliance
To align with the new regulations, businesses should consider the following actions:
- Conduct audits of pricing algorithms to identify whether personal data is used.
- Implement systems to trigger disclosures when algorithmic pricing is applied.
- Establish data governance policies that prevent the use of protected class data in pricing decisions.
- Train employees and update digital platforms to ensure consistent and visible disclosures across all consumer touchpoints.
Legal experts recommend working closely with counsel experienced in data privacy and marketing law to navigate the evolving landscape and mitigate legal risks associated with dynamic pricing practices.
A Broader Trend in AI Regulation
New York’s move could signal a broader trend among states to regulate algorithmic and AI-driven business practices beyond marketing. As AI becomes more deeply integrated into commerce, regulators are increasingly concerned about transparency, fairness, and the potential for discrimination in algorithmic decision-making.
Although this law is state-specific, it may influence similar legislation in other jurisdictions. Businesses operating across state lines should stay informed of emerging laws and consider adopting universal best practices to ensure compliance nationwide.
This article is inspired by content from Original Source. It has been rephrased for originality. Images are credited to the original source.