New York Law Requires Disclosure of Algorithm-Driven Personalized Pricing
New York State’s recently enacted budget includes a first-of-its-kind law requiring businesses to disclose when they use algorithms and personal data to set individualized prices for consumers. This means retailers must now inform customers if the price they are seeing is determined,in part,by their personal facts – such as past purchasing behavior or browsing history.
What does the law require?
Under the new regulation, businesses employing personalized pricing must display a notice stating: “This price was set by an algorithm using yoru personal data.” This disclosure aims to increase clarity and empower consumers to understand how their data influences the prices they pay. The law applies to online retailers and other businesses utilizing algorithmic pricing strategies within New York State.
Why is this law significant?
Personalized pricing, also known as dynamic pricing, leverages data analytics to offer different prices to different customers for the same products or services. While dynamic pricing based on factors like demand and location is common (think surge pricing with ride-sharing services), the use of personal data to determine price raises concerns about fairness and potential discrimination.
Lina Khan, former chair of the Federal Trade Commission (FTC) and currently co-chair of New York City Mayor Zohran Mamdani’s transition team, described the law as an “absolutely vital” tool for government oversight, while also acknowledging that further regulation is needed to fully address the complexities of the practice [1]. The FTC has been increasingly focused on the potential harms of algorithmic pricing and its impact on competition and consumer protection.
Challenges and Legal Challenges
The implementation of the law hasn’t been without hurdles. Uber, for example, is now displaying the required disclosure to new York customers but has characterized the law as “poorly drafted and ambiguous” [1]. The company maintains that its dynamic pricing is based solely on geographic location and customer demand.
The National Retail Federation (NRF) initially filed a lawsuit seeking to block the law, arguing it was unconstitutional and would create confusion for businesses.However, a federal judge allowed the law to proceed [1]. The NRF’s concerns centered on the potential for increased litigation and the difficulty of complying with the disclosure requirements.
Looking Ahead
while this New York law represents a significant step towards greater transparency in pricing practices, experts anticipate further legal challenges and ongoing debate about the appropriate level of regulation. The law is expected to serve as a model for other states considering similar legislation. The core issue revolves around balancing the benefits of personalized pricing (potentially lower prices for some consumers) with the need to protect consumers from unfair or discriminatory practices.
Sources:
[1] https://www.nytimes.com/2025/11/29/nyregion/personalized-surveillance-pricing-ai-new-york.html
AI-Determined Analysis & Keywords:
* Primary Topic: Algorithmic/Personalized Pricing & Consumer Data Privacy
* Primary Keyword: Personalized Pricing
* Secondary Keywords: Algorithmic Pricing, Dynamic Pricing, Data Privacy, Consumer Protection, New York Law, FTC, Lina Khan, Price Discrimination, Transparency, Retail, Online Retail, AI Pricing.