AI incident ·
RealPage Algorithm Allegedly Inflates Rents and Reduces Competition in Housing Market
In brief
An AI system built by Thoma Bravo, Realpage and 1 other and deployed by Realpage allegedly harmed Renters.
- Risk domain
- Socioeconomic & Environmental Harms
- Occurred
- Coverage
- 14 reports
What happened
RealPage’s YieldStar pricing algorithm is at the center of allegations that it enabled landlords to coordinate rent increases by sharing nonpublic pricing and occupancy data, raising rents artificially and reducing competition. On January 7, 2025, the U.S. Department of Justice filed an antitrust lawsuit against six major landlords, alleging that they used the algorithm and other direct communication methods to stifle competition, harming renters nationwide.
Laws that address this harm
Policy angle: Classified under Socioeconomic & Environmental Harms (Increased inequality and decline in employment quality) in the MIT AI Risk Repository taxonomy; 5 recorded instruments address this use case.
- Colorado AI Act
- Framework Convention on AI (CETS 225)
- India DPDP Act
- Law on Artificial Intelligence (2025)
- Law No. 132/2025 on artificial intelligence
Matched from the record's risk domain and country to the instruments recorded here. A reviewer can correct the match in the repository (data/external/incident_overrides.yaml).
News reports (14)
Titles link to the original publisher; report text is not reproduced here.
Who was involved
- Alleged deployer
- Realpage
- Alleged developer
- Thoma Bravo, Realpage, Jeffrey Roper
- Alleged harmed party
- Renters
Classification (MIT AI Risk Repository taxonomy)
- Risk domain
- Socioeconomic & Environmental Harms
- Causal entity
- AI
- Intent
- Intentional
- Timing
- Post-deployment
- Harm level
- —
- Sectors
- —
- Countries
- —
Risk entries describing this failure mode
Entries from the MIT AI Risk Repository coded to subdomain 6.2.
- Labour exploitation
"Labour exploitation - Use of under-paid and/or offshore labour to develop, manage or optimise a technology system."
- Societal destabilisation
"Societal destabilisation - Societal instability in the form of strikes, demonstrations and other types of civil unrest caused by loss of jobs to technology, unfair algorithmic outcomes, disinformation, etc."
- Political instability
"Political instability - Political polarisation or unrest caused by increased inequality, job losses, over- dependence on technology making societies vulnerable to systemic failures, etc, arising from or amplified by the...
- Job loss/losses
"Job loss/losses - Replacement/displacement of human jobs by a technology system, leading to increased unemployment, inequality, reduced consumer spending, and social friction."
- Societal inequality
"Societal inequality - Increased difference in social status or wealth between individuals or groups caused or amplified by a technology system, leading to the loss of social and community wellbeing/cohesion and destabil...
- Economic
"AI is predicted to bring increased GDP per capita by performing existing jobs more efficiently and compensating for a decline in the workforce, especially due to population aging, the potential substitution of many low-...
- Increased income disparity
"While AI is predicted to bring increased GDP per capita by performing existing jobs more efficiently and compensating for a decline in the workforce, especially due to population aging, the potential substitution of man...
- Effects on the Workforce
"Rapid advances in LLMs pose three distinct sets of challenges for workers’ incomes (Korinek and Stiglitz, 2019; Susskind, 2023). First, they are likely to accelerate the rate of job turnover and disruption —– affecting...
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Source record: incident #376 on the AI Incident Database · all 14 reports