Search results often repeat one number without naming the survey, sample, question, date, or denominator. That turns a useful statistic into a marketing claim. This page keeps the two best current member-based sources separate: the National Association of REALTORS® 2025 Technology Survey and the Realtors Property Resource® 2026 AI Adoption Survey.
REALTOR® is a membership mark, not a synonym for every licensed real estate agent. Both surveys cover NAR members. The findings should not be silently extended to every licensee, brokerage employee, investor, property manager, or real estate company.
The headline statistics
| Finding | Source | What it means |
|---|---|---|
| 41% currently use AI/Generative AI | 2025 NAR Technology Survey | Current emerging-technology use among 1,241 usable member responses |
| 20% daily, 22% weekly, 27% a few times monthly | 2025 NAR Technology Survey | Frequency of AI use during the prior 12 months; 32% had not actively tried it |
| 50% positive impact, 46% no noticeable impact, 4% negative | 2025 NAR Technology Survey | Self-reported business impact, not audited ROI |
| 82% currently use AI | 2026 RPR AI Adoption Survey | Current use among 225 quality-screened responses in that separate survey |
| 68% save at least one hour weekly; 34% save four or more | 2026 RPR AI Adoption Survey | Self-reported time savings, not a timed experiment |
| 63% name output accuracy as a top concern | 2026 RPR AI Adoption Survey | Adoption does not remove the need for source checks and human review |
Source 1: 2025 NAR Technology Survey
NAR invited a random sample of 49,233 active REALTORS® in July 2025. The report received 1,241 usable responses, a 2.5% response rate, and reports a margin of error of plus-or-minus 2.78 percentage points at the 95% confidence level. Sixty-eight percent of respondents were sales agents, 14% were associate brokers, and the median respondent had 11 years in real estate.
This methodology matters. A random invitation and published margin of error make this the better broad benchmark in the two-source comparison. The low response rate still matters because people who respond to a technology survey may differ from those who do not. The margin of error addresses sampling variability, not every possible nonresponse or wording bias.
AI adoption and frequency
The survey reports that 41% were currently using AI/Generative AI. Its separate frequency question says 20% use AI daily, 22% use it weekly, 27% use it a few times a month, and 32% have not actively tried AI for their business.
Those answers should not be forced into perfect alignment. “Currently using AI/Generative AI” appears inside a multiple-choice emerging-technology question. “How often” asks about AI use over the past 12 months. A person can interpret current use and occasional prior use differently. Publish each answer with its question instead of blending them into a single adoption percentage.
Business impact
The impact distribution is more useful than an adoption headline: 17% reported a significantly positive impact, 33% a moderately positive impact, 46% no noticeable impact, 2% a moderately negative impact, and 2% a significantly negative impact.
That means half reported a positive impact, but almost half did not notice a business change. It does not show which workflows caused the result, how much time or revenue changed, how long respondents had used AI, or whether results were measured. Adoption and impact are different questions.
Tools and current uses
In the tool question, 58% of respondents said they had used ChatGPT, 20% Gemini, and 15% Copilot. The broader current-technology question found 46% using AI-generated content such as listing descriptions, 21% using CRM with AI-powered insights, and 7% using chatbots for lead capture or client communication.
Do not describe 58% as “daily ChatGPT users.” The survey reports whether respondents have used the tool, not how frequently they used that specific product or whether it improved a business result.
Why agents adopt technology
Sixty-six percent named saving time as a goal when adopting new technology, 64% improving the client experience, 51% closing more deals, 41% staying ahead of competition, and 16% reducing overhead or team size. These are motivations for technology adoption generally, not measured AI outcomes.
Source 2: 2026 RPR AI Adoption Survey
RPR surveyed 225 U.S. real estate professionals who are members of NAR. The report says results reflect self-reported behavior, perceptions, and preferences. It labels the results quality-screened, but the methodology page does not publish the invitation frame, response rate, sampling method, weighting, or margin of error.
That does not make the survey useless. It makes it a different kind of source. Use it for a current view of its respondents and for questions the larger NAR survey did not ask. Do not present it as a precise estimate for all Realtors.
Adoption and use
In the RPR sample, 82% currently use AI, 92% are using it now or planning to, and 68% use it daily or several times per week. Eight percent said they were not currently using AI and did not plan to.
The RPR frequency wording differs from NAR's. “Daily or several times per week” is not the same bucket as “daily,” “weekly,” or “a few times a month.” Do not chart the two surveys as if one is a clean year-over-year update.
Self-reported time savings
RPR found that 68% reported saving at least one hour per week using AI, and 34% reported saving four or more hours per week. Seventy-one percent named saving time as AI's top value.
These are participant estimates. The survey did not time a fixed job before and after AI, measure correction time, subtract setup or review burden, or audit the claimed hours. The finding supports “many respondents perceive time savings.” It does not support a universal hourly promise.
Trust, concern, and training
63% named accuracy of outputs as a concern. Other concerns included compliance or legal issues at 49%, misinterpretation of market data at 47%, the learning curve at 30%, and fair housing at 28%.
When asked about barriers to using AI more regularly, 34% reported no major barrier, 17% cited not enough training, 16% too many tools, and 13% not knowing where to start. Preferred training included short video tutorials at 69%, hands-on workshops at 57%, and use-case training tied to real tasks at 56%.
The practical reading is not “agents need more tools.” It is that adoption and confidence diverge as work approaches pricing, interpretation, compliance, and client-facing judgment. A source-first workflow and visible approval line answer that gap better than another generic prompt list.
Why the adoption numbers differ
| Method detail | 2025 NAR survey | 2026 RPR survey |
|---|---|---|
| Population described | Active NAR members invited to a general technology survey | U.S. real estate professionals who are NAR members |
| Usable responses | 1,241 | 225 |
| Sampling detail | Random sample of 49,233 invited | Not stated on methodology page |
| Response rate | 2.5% | Not reported |
| Margin of error | Plus-or-minus 2.78 percentage points at 95% confidence | Not reported |
| AI question | Current use within emerging technologies plus a separate 12-month frequency question | Direct current-use question plus frequency, value, time, concern, and training questions |
The figures can both be accurate for their own respondents. They are not proof that adoption doubled. A newer survey can differ because of timing, sample composition, recruitment, topic interest, screening, question wording, or real behavior change. Without a comparable sampling method and repeated question, the size of each cause is unknown.
Claim-safe wording for ads, decks, and articles
Important hook correction: 46% does not mean 46% think AI cannot help. It means 46% of NAR survey respondents reported no noticeable business impact. Likewise, 32% does not mean 32% oppose AI. It means 32% said they had not actively tried it for their business.
What the surveys still do not tell us
- Which exact workflow created the claimed time or impact
- Whether setup, review, correction, subscription, and maintenance time were subtracted
- Whether an agent used a chat tool, fixed automation, connected assistant, or supervised employee
- How often outputs were wrong, misleading, biased, rejected, or quietly corrected
- Whether adoption increased appointments, signed clients, closed transactions, profit, or family time
- Whether perceived savings remained after 30, 60, or 90 days
That missing layer is why Adam's operating guides emphasize one job, a baseline, a fixed test set, human review time, accepted handoffs, business outcomes, negative events, and cost per completed job. Survey adoption proves interest. It does not prove a specific build.
Frequently asked questions
How many real estate agents use AI?
NAR's 2025 survey found 41% currently using AI/Generative AI. RPR's separate 2026 survey found 82% of its 225 respondents currently use AI. Use each number with its source, sample, date, and question. Do not combine them.
What percentage of Realtors use ChatGPT?
Fifty-eight percent of respondents in NAR's 2025 Technology Survey said they had used ChatGPT. That is tool adoption among the survey respondents, not daily use or measured business impact.
Does AI help real estate agents?
NAR found 17% reporting significantly positive impact, 33% moderately positive impact, 46% no noticeable impact, and 4% negative impact. RPR found 68% of its respondents reported at least one hour of weekly savings. Both are self-reported.
How much time does AI save real estate agents?
RPR's 2026 respondents reported that 68% saved at least one hour per week and 34% saved four or more hours per week. The survey was not a timed before-and-after study, so use those figures as perceptions within that sample.
Primary sources
- National Association of REALTORS®, 2025 REALTORS® Technology Survey. Full findings and methodology: July 2025 random sample, 49,233 invitations, 1,241 usable responses, 2.5% response rate, and plus-or-minus 2.78 percentage-point margin of error.
- NAR press release, REALTORS® Embrace AI, Digital Tools to Enhance Client Service, September 18, 2025. Concise official summary of the technology and AI findings.
- Realtors Property Resource®, 2026 AI Adoption Survey. Full 225-response report covering current use, frequency, perceived value, time savings, concerns, barriers, and training preferences.
- NAR REALTOR® News, You've Tried AI, But Can You Trust It?, February 12, 2026. NAR summary of the RPR survey and trust findings.
Editorial note: Statistics can change when a new comparable primary survey is published. This page does not average unlike surveys, infer causation, or turn participant estimates into guaranteed business outcomes. Last reviewed July 13, 2026.
Move from adoption statistics to one measured job.
The $250 AI Employee Map defines the workflow, source, authority, baseline, test set, human review, business measure, negative measure, and first safe version.
Book the AI Employee Map