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NY S7033: Enacts the preventing algorithmic pricing discrimination act

Dead/Failed New York

Last verified Oct 10, 2026 · official bill text

S7033 · where it stands

This bill did not become law (dead/failed) · last action Apr 15, 2026.

What do these statuses mean?
Introduced
Filed in the legislature; may be waiting for a committee hearing.
Passed a chamber
Approved by one or both chambers; awaiting further action.
Enacted
Signed into law, or became law without a signature or over a veto.
Effective date
The date the law says it takes effect. Once it has passed, the page shows "Effective" and the date. A court order can still block a law; if we know of one, the summary says so.
Dead / vetoed
Vetoed, failed, or the session ended without action.

In one paragraph

New York's S 7033 would have enacted the Preventing Algorithmic Pricing Discrimination Act. Anyone who knowingly advertised or published personalized algorithmic pricing based on a person's consumer data would have had to disclose "THIS PRICE WAS SET BY AN ALGORITHM USING YOUR PERSONAL DATA" (new General Business Law § 349-a), and General Business Law § 396 would have barred using protected class data in pricing. The Attorney General could seek penalties of up to $1,000 per violation. The Senate struck the enacting clause on April 15, 2026.

Plain-English summary, written with AI assistance. The official text controls.

What it means for business

None: the bill was stricken and never became law.

Key provisions

  1. GBL § 349-a: a person who knowingly advertises, promotes, labels or publishes personalized algorithmic pricing based on a particular individual's consumer data must make a clear and conspicuous disclosure that the price was set by an algorithm using the person's personal data
  2. "Consumer data" identifies or could reasonably be linked, directly or indirectly, with a specific natural person and excludes location data; dynamic pricing excludes promotional pricing offers, loyalty program benefits and other temporary discounts
  3. GBL § 396(3): no use of protected class data in setting prices if it withholds or denies accommodations or advantages or yields a different price for others based on that data
  4. Attorney General may seek an injunction on at least five days' notice and a civil penalty of up to $1,000 per violation
  5. A person aggrieved by a § 396(3) violation may file an action under Executive Law § 297; § 349-a is enforced by the Attorney General
  6. Exempts insurers and financial services entities
  7. Would have taken effect on the sixtieth day after becoming law; referred to Consumer Protection March 28, 2025 and January 7, 2026; recommitted with enacting clause stricken April 15, 2026

Latest legislative action

Apr 15, 2026. recommit, enacting clause stricken

Sponsors

NameRole
D Primary

Related and companion bills

Topics and industries

Related topics

Algorithmic PricingAutomated Decision-Making

Affected industries

Consumer ProtectionTechnology

This page is general information, not legal advice. Summaries are AI-assisted and may contain errors; read the statute for the controlling text and talk to a lawyer about your situation. Full disclaimer · Report an error

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Same topic in other states

Illinois SB3657 CONSUMER FRAUD-DIGITAL PRICING Iowa HF2469 A bill for an act prohibiting the use of an automated decision-making system to Minnesota SF3098 Prohibition from using artificial intelligence to dynamically set product prices Georgia SB164 Trade Practices; surveillance based price discrimination and surveillance based Tennessee HB1468 AN ACT to amend Tennessee Code Annotated, Title 29; Title 45; Title 47 and Title Kentucky HB33 AN ACT relating to data privacy.