Algorithmic rental pricing tools have emerged as a contentious issue in the housing market, with RealPage’s AI-powered software drawing scrutiny from regulators and local governments over potential market manipulation.
Market dominance and technology: RealPage controls 80% of the commercial revenue management software market through its YieldStar and AI Revenue Management products, which use proprietary algorithms to set rental prices.
- The software aggregates private rental data from multiple landlords to generate pricing recommendations, creating a comprehensive database of rental market information
- Federal prosecutors have labeled this practice an “unlawful information-sharing scheme” and initiated antitrust litigation against RealPage
- Despite RealPage’s assertion that landlords can reject pricing recommendations, prosecutors argue there is significant pressure to follow the algorithm’s guidance
Local government response: Cities across the United States are taking legislative action to restrict algorithmic rental pricing amid concerns about artificial rent inflation.
- San Francisco and San Diego are among the municipalities considering or implementing bans on algorithmic pricing tools
- Average rent in San Diego increased by 21% between 2020 and 2024, highlighting the significant impact on local housing markets
- These regulatory efforts represent growing pushback against automated pricing systems in the rental sector
Economic impact and affordability: The widespread adoption of AI pricing tools has raised concerns about their effect on housing affordability and market dynamics.
- Even professionals with stable employment are struggling to cope with algorithm-driven rent increases
- RealPage maintains that housing supply constraints, not their technology, are responsible for rising rental costs
- California public pension funds have indirect investments in RealPage through private equity ownership, adding complexity to the regulatory landscape
Critical implications: The controversy surrounding RealPage’s pricing tools highlights broader questions about the role of AI in essential markets like housing, where automated decision-making can have significant social and economic consequences.
- The situation exemplifies the growing tension between technological innovation and market regulation in the housing sector
- The outcome of current legal challenges and local legislation could set important precedents for the future of AI-driven pricing in real estate
- The debate continues over whether such tools serve legitimate business purposes or facilitate anti-competitive behavior that harms consumers
Landlords Are Using AI to Raise Rents—and Cities Are Starting to Push Back