The multifamily market has rarely been simple to navigate, but the current moment presents operators with a particularly complicated set of pressures all arriving at the same time. Years of aggressive construction have flooded several major markets with new supply just as demand has softened in many of those same places. Renter qualification rates are declining. Competition for residents is intensifying. And the operational cost of running a multifamily portfolio, never low to begin with, keeps climbing.
Technology has long been held up as the answer to at least some of these problems, and the industry is increasingly inclined to believe that. But MRI Software’s new 2026 Multifamily Real Estate Pulse Check offers a more layered picture of where multifamily operators actually stand, how confidently they’re moving toward new tools, and where the friction is still slowing them down.
The market backdrop matters because it’s shaping the urgency behind almost every technology decision multifamily operators are making right now. “The biggest challenge in multifamily remains the market,” said Carla Hinson, VP, Solution and Innovation for MRI North America. “Several markets have supply and low demand, which is making it difficult for operators.”
That pressure compounds when you factor in who is actually applying to rent. “There is also a decline in prospects that qualify as renters,” Hinson added, “increasing the importance of amenities and resident experience.” When the pool of qualified renters shrinks, retaining the ones you have becomes more valuable than it has ever been, and operators that can’t deliver on experience are going to feel it in their occupancy numbers.
That reality is pushing the multifamily industry deeper into technology at a pace that would have been hard to imagine even five years ago. The survey results on this point are striking in their unanimity. Ninety-three percent of multifamily organizations are using AI tools in some capacity and 86% said their organizations had offered some sort of training to improve proficiency with AI tools.
Those numbers reflect something more than optimism. They reflect an industry that has watched margins compress and decided that technology is no longer optional, though the report suggests most organizations are still early in translating that usage into consistent operational value. When every operator in a survey agrees on something, it usually means the market has already delivered the lesson and the data is just confirming it.
The question is where that automation appetite is being directed first. Among multifamily managers, leasing systems remain the most common area where AI adoption is being actively pursued. That makes intuitive sense. Leasing is the revenue engine of any multifamily operation, and the administrative load around it, prospect communication, application processing, screening, and follow-up, is both enormous and repetitive. AI tools that can handle portions of that workflow free up leasing teams to focus on the human side of the process, which still matters considerably when a prospective resident is deciding where to live.
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Getting those tools in place, though, is proving harder than the adoption intent would suggest. Integration with existing systems remains a barrier to technology adoption in the multifamily space, ranking above concerns about ROI and above the lack of staff training.
“Integrating with existing systems is the biggest barrier to adoption, above ROI concerns or lack of training,” Hinson said. That finding is significant because it reframes the conversation around what multifamily operators actually need from their technology vendors. The product itself may be compelling. The business case may be clear. But if a new platform can’t connect cleanly with the systems an operator is already running, the friction of implementation often wins.
The survey also surfaces some revealing disconnects in how different roles within multifamily organizations perceive the tools they already have. On the question of fraud prevention, 51% of property manager respondents expressed confidence in the tools currently being used, while 46% of executives were not confident. That’s a meaningful gap between the people closest to the day-to-day operation and the people overseeing the portfolio from above.
“It is unclear if this discrepancy is due to property managers being more focused on a subset of properties or a particular property and their experience there, whereas executives are looking across an entire portfolio where they are not actively engaged locally on a day-to-day basis,” Hinson said.
“But what this does tell us is that fraud in the application process is still a significant concern.” In a market where qualifying renters are harder to find and the pressure to fill units is real, the temptation to cut corners on screening rises, and application fraud tends to rise with it. The fact that executives are less confident than their frontline teams suggests the problem may be more widespread than any single property’s experience would indicate.
Running beneath all of these dynamics is a generational shift that is quietly shaping how fast the multifamily industry can actually move. As seasoned professionals approach retirement, they are taking with them decades of institutional knowledge and leaving behind organizations that will increasingly be run by younger professionals who are more comfortable with and more eager to adopt new technologies. The report is candid about the tension this creates in the near term.
“While some senior staff acknowledge the value of tools like AI, they don’t expect to implement them before retiring,” Hinson noted. That’s not cynicism. It’s a rational calculation by people who have managed through enough technology cycles to know that implementation is hard, and who are close enough to the end of their careers that the disruption may not feel worth it.
What the survey ultimately reveals is that the multifamily industry is not lacking for conviction about where technology needs to take it. The belief in automation, in AI, in data-driven operations is broad and, at this point, nearly universal. What’s still uneven is the foundation underneath those ambitions. Integration barriers are slowing adoption.
Data quality is limiting what analytics tools can actually do. And the market pressures that are making all of this feel so urgent are also the pressures that make it hardest to slow down and invest in getting the infrastructure right.
The operators that find a way to do both will be the ones best positioned when the supply and demand dynamics eventually rebalance, and the competitive advantages built during this period start to show up in the numbers.
Source: Propmodo
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