State attorneys general are intensifying their scrutiny of algorithmic and surveillance-based pricing practices, signaling a significant shift in the enforcement landscape for…
State attorneys general are intensifying their scrutiny of algorithmic and surveillance-based pricing practices, signaling a significant shift in the enforcement landscape for companies that rely on data-driven pricing models. As detailed in a July 22, 2026 Bloomberg Law article by Troutman Pepper Locke attorneys, this heightened attention reflects growing concern that opaque pricing technologies may harm consumers, particularly in essential sectors such as groceries. Businesses deploying these tools should take note: enforcement risk is no longer theoretical, and the regulatory framework is expanding rapidly at the state level.
A leading example of this trend is the New York Attorney General's investigation into Instacart's pricing practices, which has become emblematic of state-level concern about how algorithms leverage consumer data to set prices. Alongside this enforcement action, New York has advanced its One Fair Price legislative package, aimed at curbing pricing practices that state officials view as unfair or deceptive. The initiative underscores the willingness of state AGs to pair active investigations with legislative advocacy to shape industry conduct.
The legislative movement extends well beyond New York. In 2025, Connecticut, New York, and California enacted laws restricting the use of competitors' data in pricing decisions and requiring disclosure of personalized pricing to consumers. Building on this foundation, 2026 proposals in Maryland, New Jersey, and California target personalized pricing in groceries and other essential sectors, reflecting a broader multi-state effort to regulate how businesses collect, analyze, and deploy consumer information to determine individual prices.
Given this converging enforcement and regulatory environment, companies using pricing algorithms should promptly evaluate their compliance programs. Key areas of focus include the sources and uses of data feeding pricing models, particularly any reliance on competitor information; the transparency and adequacy of consumer disclosures regarding personalized pricing; and internal governance over algorithmic decision-making. Proactive review can help identify vulnerabilities before they attract regulator attention and reduce exposure to investigations, penalties, and reputational harm as new state laws take effect.
This alert is provided for general informational purposes only and does not constitute legal advice. Clients facing questions about algorithmic pricing compliance, state enforcement risk, or related legislative developments should consult counsel for advice tailored to their specific circumstances.