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Minneapolis bans rental-pricing algorithms that use nonpublic competitor data
Summary
The Minneapolis City Council voted to prohibit landlords from using algorithms that rely on nonpublic competitor data to set rents. Supporters said the tools inflate rents and increase evictions; opponents warned enforcement may hit small “mom-and-pop” owners and be hard to prove.
The Minneapolis City Council on March 27 approved an ordinance banning algorithms that use nonpublic competitor data to advise landlords on rent and vacancy levels, voting 11–2 to adopt the measure.
Advocates said the technology has already raised rents for many local renters and contributed to higher eviction rates in buildings where the tools are used. “Minneapolis is over 50% renters, and approximately 1 in 7 units in the Twin Cities is managed using rent‑tool algorithms,” Councilmember Wansley said as she introduced the ordinance. “In these units, renters pay on average about $312 more per year.”
The ordinance’s authors, Councilmembers Wansley and Ellison, framed the measure as preemptive regulation. “If all the top landlords of these companies were to get in a room together and collude on what the rent should be, that would be against the law,” Councilmember Ellison said. Ellison and co‑sponsors argued that algorithms can have an anticompetitive effect similar to collusion and that action now is easier to enforce than waiting until the tools are widespread.
Opponents said the ordinance may be blunt and difficult to enforce. Councilmember Palmisano said she could not support the measure, arguing enforcement likely would burden small, local property owners more than large corporate portfolios: “If prohibiting the use of rental algorithms makes an impact on the way rents are set at all, it will be felt more acutely by the small owners, not the large, out‑of‑town corporate entities.”
Councilmembers who supported the ordinance said staff and city attorneys devised an enforcement approach that uses self‑attestation at license renewal, complaint‑driven investigations and a private right of action. “Self‑attestation might sound like nothing until a landlord lies, and then that lie, once discovered, strengthens a private right of action,” Councilmember Lisonbee said during debate.
The council debate cited national enforcement activity: the U.S. Department of Justice and a coalition of state attorneys general have sued companies and large landlords over algorithmic pricing practices; supporters said Minneapolis should act now rather than wait for broader harm.
The ordinance passed on a roll call with 11 ayes and 2 nays. The city clerk will publish implementation guidance and regulatory services staff said they will begin education and compliance outreach to landlords.
Supporters said the policy targets corporate misuse of market data, while opponents urged monitoring for unintended harms to small landlords and potential enforcement gaps. The council directed staff to report back on enforcement plans and any resource needs.
The vote follows similar ordinances in other U.S. cities and comes amid wider scrutiny of algorithmic pricing and antitrust questions at the federal level.
