Artificial Intelligence-Driven Rent Pricing Tools & the Housing Crisis

This policy brief explores the use of artificial intelligence (AI) in rent pricing tools that corporate landlords and property management companies use for rental housing, and its consequences for the housing market. Across the United States, landlords have become increasingly reliant on AI-driven rent pricing tools to raise rents and boost theirprofits. This technology, which uses both sensitive proprietary data and publicly available information, is reducing housing accessibility, often driving tenants from their homes. As AI becomes increasingly pervasive in our everyday lives, it is essential that we interrogate its uses, especially in those that have as many collateral consequences as housing. We offer an overview of rent regulation history, the underlying AI technology, and existing policy, and make our own policy recommendations.

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Publication Details

Journal
Columbia Social Work Review
Published
2025-06-17
DOI
https://doi.org/10.52214/cswr.v23i1.13268
Primary Topic
Housing Market and Economics
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence-Driven Rent Pricing Tools & the Housing Crisis

Andrew Nelson, McKynzie Clark, Sanjana Utiramerur
Columbia Social Work Review
Housing Market and Economics
article

Artificial Intelligence-Driven Rent Pricing Tools & the Housing Crisis

Andrew Nelson, McKynzie Clark, Sanjana Utiramerur
article en

Abstract

This policy brief explores the use of artificial intelligence (AI) in rent pricing tools that corporate landlords and property management companies use for rental housing, and its consequences for the housing market. Across the United States, landlords have become increasingly reliant on AI-driven rent pricing tools to raise rents and boost theirprofits. This technology, which uses both sensitive proprietary data and publicly available information, is reducing housing accessibility, often driving tenants from their homes. As AI becomes increasingly pervasive in our everyday lives, it is essential that we interrogate its uses, especially in those that have as many collateral consequences as housing. We offer an overview of rent regulation history, the underlying AI technology, and existing policy, and make our own policy recommendations.

Columbia Social Work ReviewVol. 23(1)
German Solar Association (DE), Columbia University (US)
Openalex Percentile: Top 80%
Housing Market and Economics
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