Colorado 2025 Regular Session

Colorado House Bill HB1004

Introduced
1/8/25  
Refer
1/8/25  
Report Pass
2/20/25  
Refer
2/20/25  
Engrossed
4/1/25  
Refer
4/1/25  
Report Pass
4/15/25  
Refer
4/15/25  
Enrolled
5/1/25  
Engrossed
5/13/25  
Engrossed
5/13/25  
Enrolled
5/13/25  

Caption

No Pricing Coordination Between Landlords

Impact

If enacted, HB1004 will amend existing state statutes to prohibit the sale, distribution, and usage of any algorithmic device intended to fix prices or commercial terms among competitors in the residential market. Such measures aim to bolster tenant protections by removing tools that may facilitate collusion or price fixing among landlords. The ramifications of this bill could positively influence the affordability crisis faced by many renters by promoting a more competitive and equitable rental marketplace.

Summary

House Bill 1004 addresses the use of algorithmic devices in the rental housing market in Colorado, specifically prohibiting landlords from using such devices to set or recommend rental prices and other commercial terms. The bill arose from concerns about anticompetitive practices that have resulted in inflated rents and constrained housing supply, significantly impacting tenants. A recent study highlighted the financial burdens excessive pricing placed on renters, particularly in metropolitan areas like Denver. The bill seeks to ensure fair competition within the rental sector and improve access to affordable housing for residents.

Sentiment

The sentiment surrounding HB1004 is reportedly mixed, with a strong emphasis on tenant protection and market fairness from supporters, including various advocacy groups focused on housing rights. Conversely, some members of the real estate industry argue that the bill may stifle innovation and technology utilization in property management. This conflict reveals a broader debate on the balance between regulation and market freedom, indicating that while advocates hail it as a necessary step for tenant rights, critics raise concerns about unintended consequences.

Contention

Notable points of contention include fears from opponents about the potential for reduced efficiencies in property management and the limitations it may impose on landlords who use technology to enhance their businesses. Additionally, concerns were raised regarding the bill's effectiveness in achieving its intended goal of reducing rents, as some critics argue that the root causes of high rental prices lie elsewhere. Ultimately, the bill pits the imperative for tenant protections against the necessity for operational flexibility in the real estate industry, highlighting a fundamental conflict within housing legislation.

Companion Bills

No companion bills found.

Similar Bills

AZ HB2847

Rental price fixing; algorithmic pricing

MD SB609

Residential Leases - Use of Algorithmic Device by Landlord to Determine Rent - Prohibition

MD HB817

Residential Leases - Use of Algorithmic Device by Landlord to Determine Rent - Prohibition

CA AB2224

Real estate: transactions: iBuyers.

NC H970

Preventing Algorithmic Rent Fixing

RI H8058

Prohibits use of algorithm or artificial intelligence to set residential rental amounts and prohibits landlord price fixing of residential rents. Violations constitute a deceptive trade practice and violators are subject to civil suit.

RI S2892

Prohibits use of algorithm or artificial intelligence to set residential rental amounts and prohibits landlord price fixing of residential rents. Violations constitute a deceptive trade practice and violators are subject to civil suit.

CT HB06947

An Act Prohibiting Residential Rental Property Owners From Using Pricing Algorithms And Competitors' Sensitive Data To Set Rental Prices.