The National Association of Realtors' 2026 Technology Report shows weekly AI use rising, growing interest in AI-backed CRMs and lead tools, and a mix of positive impacts and new concerns among agents.
Top priorities for adoption are saving time (81%) and improving client experience (71%), driving interest in AI-backed CRM and lead generation.
Perceived business impact is more positive overall, but negative experiences and concerns—including learning curve and cost—have increased.
# What the report measured June and surveyed agents about their use of AI tools. The report compares adoption and attitudes with last year's results and breaks out the types of AI agents are using or planning to use.
# Who's using AI and how often
Agents' primary reasons for adopting AI are practical. Saving time was cited by 81% of respondents and improving the client experience by 71%. NAR's deputy chief economist noted that when routine tasks are handled faster, agents can spend more time on client-facing work such as guidance and negotiation.
# Tools beyond generative content Generative AI remains the most common category: 54% use or plan to use it. However, interest is broadening into other tool types:
# Which specific platforms agents use ChatGPT leads usage among named tools, used by 91% of those who reported specific platforms. Other named systems include Gemini (42%), Copilot (27%), and Claude (25%).
# Business impact and rising concerns
The report does not specify reasons behind negative impacts, but it notes increased concern about AI use in other industry research.
# Practical barriers to adoption Agents pointed to several concrete challenges:
These obstacles are affecting how and how quickly firms and individual agents integrate AI into daily workflows.
# What this means for agents and brokerages
# Bottom line AI is becoming a regular part of many agents' toolkits, with use expanding beyond content to CRM, lead tools, automation, and safety. Adoption is practical and efficiency-driven, but learning, cost, and security questions remain the main hurdles to broader, confident deployment.
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