2026 Realtor Technology Time Savings: What NAR Measures

The 2026 Realtor technology report does not establish measured time savings. Its published results describe adoption goals, tool use and perceived business impact without quantifying hours recovered. Brokerage managers can use those findings to choose a workflow to test; any increase in agent capacity still needs to be demonstrated.

What the September 22 findings measure

In its September 22, 2026, release, the National Association of Realtors (NAR) reports that saving time motivated 81% of respondents to adopt technology, compared with 66% in 2025. That 15-percentage-point difference concerns motivation. It is not a productivity growth rate.

The other findings also need their response populations kept in view:

NAR's release distinguishes general respondent findings from applications reported by AI users. The task percentages cannot be read as shares of all agents, and frequent use alone says nothing about minutes saved.

Positive business impact is a different outcome

In its companion article, also published September 22, NAR says 55% of AI users reported a positive business impact. That is a broad assessment of value. It could reflect clearer communication or better marketing even if total staff time stayed unchanged.

The report's impact chart on page 10 lacks an explicit AI-user base and item count, so that population label rests on the companion article.

Labor productivity relates output to hours worked, as the Bureau of Labor Statistics explains. A favorable rating supplies neither a measured reduction in hours nor a comparable output measure. It cannot establish how many additional client files a team could handle.

When evaluating real estate technology adoption outcomes, keep users' assessments of value alongside a separate measure of completed work per staff hour.

What the sample and questionnaire leave unresolved

In June 2026, NAR invited 73,718 randomly selected active members to an online survey and obtained 1,165 usable responses; it reports a 1.5% response rate. The published methodology on page 15 omits exact field dates, and the report does not provide weighting details, the full questionnaire, routing or item-level counts.

The sample frame is NAR's membership, not the entire brokerage workforce. The American Association for Public Opinion Research's 2023 Standard Definitions explains that response rates alone cannot establish whether nonresponse error exists or its size. The relevant concern is whether people who answered differ from those who did not in ways connected to the survey's subject.

Without the full questionnaire, avoid treating chart headings as verbatim questions or assuming identical wording and respondent composition across years. These limits constrain conclusions about change or causation, while leaving the report useful for understanding respondents' reported priorities.

How to measure agent software time savings

For brokerage operations, start with a defined task and a comparison that includes everyone doing the work. The following is a proposed pilot design, not a finding from NAR.

Define an acceptable finished unit. For listing copy, time the process through approval for publication. Set the same accuracy and completeness requirements for the existing process and the tool-assisted process. A first draft is an intermediate product.

Compare similar work. Record a baseline, then test comparable tasks with the tool. Keep task complexity, staff experience and review requirements visible; where practical, randomly assign comparable tasks to the two processes. Include ordinary users and unsuccessful attempts rather than selecting only polished demonstrations.

Count all labor. Log agent, assistant and reviewer minutes, including prompting, fact-checking, rewriting, transferring information, corrections and support. Record initial setup and training separately from recurring work. Track elapsed turnaround separately from hands-on time so a shorter wait is not mistaken for fewer staff minutes.

Consider a hypothetical listing workflow. The existing process takes 20 staff minutes. The new process requires five minutes to draft, eight to review and two to transfer and approve: 15 minutes altogether. At 20 comparable listings per week, that saves 100 minutes. If recurring tool support adds 40 minutes weekly, the net saving is one staff hour, before recovering initial training time. These are illustrative assumptions, not survey results. Any payroll saving would need its own evidence of reduced labor costs.

Set an expansion threshold in advance. Specify the minimum net time reduction, acceptable error rate and test period. Track accepted outputs, rework, failed attempts and whether the released time actually supports more work. Report results by task and role before extrapolating across the brokerage.

The survey's technology spending bands provide separate cost context. Before expanding a tool on the promise of greater capacity, require a statement backed by work records: which process saved time, whose time it saved, over what period, and with what quality result.