Editor's Note: This story was updated Sept. 22, 2026.
The use of artificial intelligence (AI) is widespread in affordable housing, but the industry faces unique challenges with compliance and operational complexity, reveals a new study by EliseAI.
Based on a survey of 400 property management professionals, including 162 executives managing affordable housing portfolios, the firm found that 91% of affordable housing operators have deployed AI, matching the adoption rates found in market-rate housing.
Deployment has been concentrated in leasing and communication rather than compliance, according to the company, a leading AI platform focused on solutions for the housing and healthcare sectors.
“AI in affordable housing is evolving much faster than many realize. Automation provides operators with measurable impact and time savings so they can build deeper relationships with residents,” said Fran Loftus, chief experience officer at EliseAI. “AI can also eliminate human error in the industry’s most complex, high-stakes workflows. The next phase of growth will be about expanding deeper into the more intensive, compliance-heavy parts of affordable housing operations.”
Key findings from the firm’s new “State of AI in Affordable Housing” report include:
- 58% of affordable housing operators report moderate or significant operating expense reductions, outperforming market-rate peers, and 81% report meaningful improvements in after-hour responsiveness;
- 72% are increasing AI budgets by 10% or more year over year, with affordable operators slightly more likely to report significant OpEx reductions versus market rate peers (58% vs. 51%); and
- 55% of affordable operators have meaningfully restructured or fully centralized their on-site teams around AI, outpacing market-rate by 10 percentage points;
- Affordable housing is a unique market that requires unique solutions: 44% of affordable operators cite data privacy and compliance concerns as their top barrier to scaling AI, and the No. 1 objection heard across operator conversations is that AI can't handle affordable housing's regulatory complexity.
Loftus points out another notable finding: The application process is the No. 1 pain point during the affordable rental journey. Specifically, 43% cite it as the top frustration for residents, outpacing market-rate peers by 11 points. Income documentation requirements, eligibility verifications, and program-specific paperwork can stretch the process across days or weeks.
“There is still so much opportunity to apply AI to the application workflow that includes a lot of document management,” she says, adding that it’s important for an affordable housing operator to focus on finding a partner that understands the complex industry.
While the latest technology can help team members improve their workflows, it can also have huge benefits for people searching for affordable housing, who often don’t receive a response from busy property managers, notes Loftus.
“Expanding the bandwidth of the team so that applicants can get a quick reply and they can understand if this is a viable path or why they don’t qualify can be really helpful in getting people housed,” she says. “There are people living in their car or in shelters, so it’s important for the most at-risk folks.”
Loftus adds that AI is not a replacement for affordable housing expertise. Operators should look at their businesses, find out what it is taking up their teams’ time, and determine what can be done to help them. “They should be strategic with how they use their very capable team members and make sure they are up-leveling the work they are spending their time on and they are intentionally automating the work that doesn’t involve strategy or complex decision-making.”