What’s Next for AI in Affordable Housing?
Solving a substantial AI challenge across the sector may unlock significant growth prospects, according to a new survey.
The implementation of AI in the affordable housing sector has mirrored other multifamily trends, with the technology reaching far and wide. Nine in 10 operators across the sector have adopted some form of automation, according to a survey conducted by EliseAI.
The questionnaire queried 400 professionals working at some of the top residential property management companies, with fewer than half overseeing income-restricted properties. AI deployment was already abundant across leasing and communication, leaving other fields open for innovation.
Findings from the study identified clear use cases pertaining to aligning with the affordable housing sector’s strict compliance programs, including LIHTC, Section 8, HOME or tax-exempt bonds. For instance, a few clerical errors regarding income certification and recertification could spell the loss of millions of dollars in tax credits.
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Regulatory concerns weighed most upon respondents’ minds, with nearly half of affordable operators citing them as an obstacle for AI compliance automation, while just one-third of market-rate interviewees considered regulation a hurdle. This chasm ranked among the highest in the survey, underscoring how one-sided this issue can be.
The same regulatory complexity drives another obstacle for AI in affordable housing: Onsite team resistance. A total of 29 percent of income-restricted staff opposed the new technology, while just 18 percent of market-rate teams were reticent on implementation.
With affordable housing onsite teams being typically smaller and carrying broader responsibilities across compliance, leasing and resident services, the addition of an extra tool in a packed workflow could create a level of tension that would otherwise not be present in larger market-rate teams.
Tried-and-true methods
While these growing pains continue to weigh upon operators, some of the benefits of implementing AI in affordable housing already stand out. Chief among them was cutting down on operating expenses. This expenditure already grew 3.3 percent per unit in 2025, down from 7.8 percent in 2022 and 2023, according to a Yardi Matrix report.
More than half of affordable housing operators reported moderate or significant reductions in operating expenses because of AI implementation. These savings are paramount as respondents also expect insurance premiums to continue ticking up. For reference, insurance costs skyrocketed 126.2 percent between 2020 and 2025, the same report shows.
Participants also revealed how and where AI implementation took place, with 56 percent automating the leasing process. An identical share of respondents use the technology for maintenance workflows. About half of the interviewees used it through the renewal process and through the management of delinquency strategies.
Practical use-case scenarios include the streamlining of repetitive communication, around-the-clock responsiveness to outside-business-hours inquiries, and the triage and routing of heavy maintenance workloads, among others. These automations assist on-site staff by allowing them to focus on the more complex compliance issues outlined earlier.
The next frontier for AI
Outside of core AI implementation, the survey touched upon realistic future operational models. Respondents suggested an interest in AI-powered predictive maintenance, portfolio analytics and investment decision support, as well as generative marketing content, listing optimization and an artificial voice for resident communications.
Additionally, the questionnaire revealed a mounting momentum propelling delinquency use cases. Nearly 90 percent of participants said they are already using AI-powered delinquency strategies or plan such tactics at a significant or moderate pace within the next year, on account of the looming maturity wall and refinancing crisis.
This use case is likely to pick up steam even further, seeing as how unpaid balances in the affordable housing sector can trigger compliance-related issues, such as difficulties in obtaining HAP payments or even jeopardizing the property’s standing with the local funding agency.
