At a time when AI capabilities are accelerating, multifamily is discovering that the real challenge isn’t the technology itself, but rather some very human challenges, including trust, fear, as well as managing change and risk. At the 2026 RETTC Tech Executive Summit, owners and suppliers came together to answer a critical question: What’s standing in the way of safely unlocking AI’s full potential in rental housing? The answers from the two stakeholder groups were illuminating. There was clear agreement on the transformative nature of this new technology as well as alignment on the core challenges, but slightly different perspectives on the actions needed to overcome the challenges. Without alignment on action, even the most advanced technology will struggle to scale. With it, AI becomes a powerful force to improve operations, strengthen trust, and deliver better outcomes for residents.
Operators and suppliers are largely united on what must be addressed first. Four core themes emerge as the primary barriers to progress.
Trust is the foundation to successful implementation, and right now, it is the biggest barrier. Operators are focused on protecting the resident experience, ensuring AI delivers accurate, appropriate, and brand-aligned interactions. Suppliers are navigating skepticism from onsite teams who do not yet trust real-time outputs. AI’s challenge is credibility, not capability. Until trust is established, adoption will remain limited.
Concerns around data are universal and growing. Operators are focused on protecting resident and prospect data, minimizing exposure, and avoiding misuse. Suppliers are navigating liability risks, fair housing compliance, and broader security considerations tied to how AI systems are deployed and managed. This overlap creates a clear opportunity. Shared standards and governance frameworks can reduce risk while enabling responsible innovation across the ecosystem.
Both groups agree on a critical reality: people—not technology—are slowing progress. Operators are working to integrate AI into workflows and ensure seamless human handoffs. Suppliers point to a lack of training, skepticism, and inconsistent adoption across onsite teams. AI will not scale without investment in education, enablement, and workflow redesign.
There is also strong alignment on what comes next. Operators are calling for clearer governance structures and ethical frameworks. Suppliers point to fragmented practices that increase compliance and liability risks. Progress requires shared rules, consistent standards, and a coordinated approach to implementation.
Alignment is strong, but the differences are what will determine how fast multifamily moves forward. Four key gaps continue to create friction across the ecosystem.
Data sits at the center of AI, and it is also where priorities diverge most. Operators are focused on control and risk—who has access to data, how it is used, and how to prevent leakage or misuse. Suppliers are focused on quality and usability—addressing incomplete ILS data, lack of structure, and limited search capabilities. They are asking two different questions. Operators are asking, “Is our data safe?” Suppliers are asking, “Is the data usable?” Both questions are critical, but until they are aligned, data remains a source of friction instead of a foundation for progress.
A second divide emerges around AI readiness, and who is responsible for it. Operators are concerned about integration complexity, workflow disruption, and the operational burden of introducing AI into already strained systems. Suppliers see a readiness gap driven by underinvestment in AI and legacy PMS platforms that are not built to support modern capabilities. This disconnect is slowing adoption.
Operators and suppliers are optimizing for different outcomes, but both are essential. Operators are focused on the resident experience—ensuring conversational tone, seamless AI-to-human handoffs, and maintaining trust with renters. Suppliers are focused on system capability—improving data flow, enabling more flexible search, and strengthening platform performance to support more advanced use cases. Experience cannot scale without infrastructure, and infrastructure has no value without experience. Progress requires both.
Operators are thinking beyond immediate deployment, focusing on long-term implications and brand trust. Questions around how AI uses historical data, how decisions are made, and where ethical boundaries should be drawn are top of mind. Suppliers are focused on execution realities. Performance, consistency, compliance, and managing liability in live environments are the priorities as they work to deliver solutions that function reliably at scale. These perspectives reflect two different but equally important points. Operators are asking what should be built, and suppliers are focused on what can be built today. Responsible AI requires answering both questions at once: can it be delivered responsibly, and should it be deployed at all?
Multifamily is aligned on the core challenges—trust, data, compliance, and adoption—but alignment alone is not enough. What comes next is alignment in action.
Operators will continue to prioritize risk management through data protection, compliance, and safeguarding the resident experience. Suppliers will continue to drive enablement through the building, scaling, and optimization of AI solutions.
Both roles are essential, but neither succeeds in isolation. Alignment is no longer optional; it is the prerequisite for AI to deliver real value. Without it, adoption will remain inconsistent, trust will lag, and progress will stall. With it, AI can move beyond experimentation and begin delivering measurable impact.
Both operators and suppliers are aligned on one fundamental truth: multifamily doesn’t necessarily need more AI. It needs more structure, trust, and alignment to fully realize AI’s value. That’s where RETTC steps in. RETTC’s role is to bring together housing providers and technology partners to establish shared standards, build trust, and drive coordinated progress. Through initiatives like its AI Governance Framework, RETTC is helping define how AI can be deployed responsibly, consistently, and at scale—ensuring innovation strengthens, rather than fragments, progress. The future of AI in multifamily will not be defined by technology alone, but by how effectively we come together to use it.