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Item 24 - Councilmember Requested Item to Prepare an Ordinance Prohibiting the Use of Algorithmic Pricing Tools
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Item 24 - Councilmember Requested Item to Prepare an Ordinance Prohibiting the Use of Algorithmic Pricing Tools
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Agenda Packet
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City Council
Item #
24
Date
10/7/2025
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AMENDED IN COMMITTEE <br /> 7/29/2024 <br /> FILE NO. 240766 ORDINANCE NO. 224-24 <br /> 1 [Administrative Code - Ban on Automated Rent-Setting] <br /> 2 <br /> 3 Ordinance amending the Administrative Code to prohibit the sale or use of algorithmic <br /> 4 devices to set rents or manage occupancy levels for residential dwelling units located <br /> 5 in San Francisco. <br /> 6 NOTE: Unchanged Code text and uncodified text are in plain Arial font. <br /> Additions to Codes are in single-underline italics Times New Romano on . <br /> 7 Deletions to Codes are in ti i t i-em,h k. i s TJm, slew p m n f H* <br /> Board amendment additions are in double-underlined Arial font. <br /> 8 Board amendment deletions are in GtFikethmugh AFial font. <br /> 9 Asterisks (* *) indicate the omission of unchanged Code <br /> subsections or parts of tables. <br /> 10 <br /> 11 Be it ordained by the People of the City and County of San Francisco: <br /> 12 <br /> 13 Section 1. Background and Findings. <br /> 14 (a) In recent years, a number of new revenue management software programs, <br /> 15 often referred to as "algorithmic devices," have threatened to destabilize rental housing <br /> 16 markets in cities nationwide, including San Francisco. <br /> 17 (b) These programs enable landlords to indirectly coordinate with one another <br /> 18 through the sharing of non-public competitively sensitive data, in order to artificially inflate <br /> 19 rents and vacancy rates for rental housing. Participating landlords provide vast amounts of <br /> 20 proprietary data to the programs, which *R tUFR do not iust summarize statistical data, but also <br /> 21 perform calculations with the data to then set or provide recommendations for rent and <br /> 22 occupancy levels. <br /> 23 (c) More and more landlords in large U.S. cities now pool their data and pricing <br /> 24 decisions using such software. By some estimates, this includes owners of as much as 70% <br /> 25 of all rental housing in San Francisco. <br /> Supervisors Peskin; Chan, Preston, Melgar, Ronen, Dorsey <br /> BOARD OF SUPERVISORS Page 1 <br />
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