The New York Senate introduced S9609, a bill proposing to prohibit the use of algorithmic systems that artificially inflate residential rental prices or reduce supply [1]. The bill specifically targets the collection and algorithmic processing of market data from two or more rental property owners to recommend rental prices, lease renewal terms, or ideal occupancy levels [2].

Who does S9609 affect?

Organizations operating within New York State that employ algorithmic systems for residential rental price setting, lease term recommendations, or occupancy level optimization are primarily in scope. This includes rental property owners, property management companies, and technology providers whose platforms aggregate market data and offer algorithmic recommendations across multiple properties. The bill specifically targets systems that collect information from two or more rental property owners for analytical purposes [2].

What is the current status of S9609?

As of the last published update, S9609 is at the "committee" stage, with bill status "in committee".

Where can I find the primary source for S9609?

The primary source for the most recent update is at https://legislation.nysenate.gov/bills/2023/S9609. AIGI publishes the full citation chain plus every approved brief on this bill.

NY, US · AI law tracker

S9609 — NY, US

S9609 is an AI governance legislation from NY, currently committee. The proposed New York bill S9609 would prohibit algorithmic systems from inflating residential rental prices or reducing supply [1]. AIGI tracks 1 primary-source update on this bill; the most recent was published on 2024-05-16.

Status & timeline

Regulatory stage: committee
Bill status: in committee
Authority / governing body: New York State Senate
Chamber: senate
Document type: legislation

Next deadline: The bill, S9609, is currently "In Senate Committee — Judiciary" [S9609 Status]. Therefore, there is no fixed deadline for compliance; its enactment remains pending legislative process.

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Full obligation matrix

Actor	Obligation	Deadline	Source
provider	Refrain from collecting information (historical/contemporaneous prices, supply levels, lease termination/renewal dates) from two or more rental property owners for algorithmic analysis and recommending rental prices, lease renewal terms, or ideal occupancy levels.	—	—
deployer	Refrain from using algorithmic systems to artificially inflate the price or reduce the supply of leased or rented residential dwelling units.	—	—

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Enforcement risk score

/ 100

Announced regulation; enforcement footprint still forming.

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Role-based compliance checklist

cto Evaluate existing data collection and algorithmic pricing models to ensure they do not aggregate data from multiple property owners for prohibited pricing or supply recommendations. (Upon enactment of the bill)
general_counsel Review and update terms of service and product functionalities to align with the prohibition on specific data aggregation and algorithmic use if S9609 is enacted. (Upon enactment of the bill)
compliance_officer Assess all third-party and in-house algorithmic tools used for setting rental prices or managing occupancy to confirm they do not artificially inflate prices or reduce supply in violation of the proposed law. (Upon enactment of the bill)
general_counsel Stay informed on the legislative status of NY S9609 and prepare for potential changes to rental pricing strategies and vendor agreements. (Ongoing)

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Vendor impact assessment

Vendor risk class: high
Procurement categories: other

Vendors providing algorithmic pricing or market analysis tools for residential rentals in New York must ensure their systems do not aggregate data from multiple owners for price/supply recommendations, as this bill seeks to prohibit such practices.

Sample vendor questions

Does your algorithmic pricing software collect data on historical or contemporaneous prices, supply levels, or lease/rental contract termination/renewal dates from more than one rental property owner?
Are the algorithms used capable of recommending rental prices, lease renewal terms, or ideal occupancy levels based on such aggregated data?
How does your system ensure compliance with regulations prohibiting artificial price inflation or supply reduction in residential rental markets?

Intelligence briefs (1)

legislation in_committee 5/16/2024

NY S9609 Targets Algorithmic Price Inflation in Residential Rentals

The proposed New York bill S9609 would prohibit algorithmic systems from inflating residential rental prices or reducing supply [1].

This development signals a legislative focus on AI's impact on consumer markets, affecting algorithmic pricing transparency and fairness.

Deadline: The bill, S9609, is currently "In Senate Committee — Judiciary" [S9609 Status]. Therefore, there is no fixed deadline for compliance; its enactment remains pending legislative process.

Primary source →

Frequently asked questions

What is S9609?: The New York Senate introduced S9609, a bill proposing to prohibit the use of algorithmic systems that artificially inflate residential rental prices or reduce supply [1]. The bill specifically targets the collection and algorithmic processing of market data from two or more rental property owners to recommend rental prices, lease renewal terms, or ideal occupancy levels [2]. Primary source →
Why does S9609 matter?: This development signals a legislative focus on AI's impact on consumer markets, affecting algorithmic pricing transparency and fairness. Primary source →
Who does S9609 affect?: Organizations operating within New York State that employ algorithmic systems for residential rental price setting, lease term recommendations, or occupancy level optimization are primarily in scope. This includes rental property owners, property management companies, and technology providers whose platforms aggregate market data and offer algorithmic recommendations across multiple properties. The bill specifically targets systems that collect information from two or more rental property owners for analytical purposes [2]. Primary source →
What are the key dates for S9609?: The bill, S9609, is currently "In Senate Committee — Judiciary" [S9609 Status]. Therefore, there is no fixed deadline for compliance; its enactment remains pending legislative process. Primary source →
What is the current status of S9609?: As of the last published update, S9609 is at the "committee" stage, with bill status "in committee". Primary source →
Where can I find the primary source for S9609?: The primary source for the most recent update is at https://legislation.nysenate.gov/bills/2023/S9609. AIGI publishes the full citation chain plus every approved brief on this bill. Primary source →

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Important — about this brief

This brief is published by AIGI as a regulatory intelligence service. It contains general information about AI laws, regulations, enforcement actions, and policy signals across jurisdictions. It is not legal, compliance, audit, or risk-management advice; it does not establish an attorney-client, advisory, or fiduciary relationship; and it should not be relied upon as a substitute for professional counsel applied to specific facts and circumstances. Where the brief identifies “Issues for Review,” those are observations of questions a reader in a particular role might raise with their own legal, compliance, or risk function — not recommendations to act. AIGI expressly disclaims liability for actions taken or not taken in reliance on this brief. Subscribers in regulated industries should consult licensed professionals authorized to practice in their jurisdiction.

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Status & timeline

Intelligence briefs (1)

NY S9609 Targets Algorithmic Price Inflation in Residential Rentals

Frequently asked questions

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