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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Last Update: 5/19/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Low
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
This result is backed by strong agreement across multiple data sources.
Contributing sources
Real Estate Brokers are somewhat less resilient to AI impacts than most occupations, according to our analysis of 7 sources.
Real estate brokers land in "Somewhat Resilient" territory because AI is already changing a meaningful chunk of the job — things like writing listing descriptions, following up with leads, and answering routine questions are increasingly handled by AI tools — but the heart of the work still belongs to humans. Buyers and sellers continue to rely heavily on agents for the trust, negotiation, and guidance that come with one of the biggest financial decisions of their lives, and buyer confidence in AI to handle home searches actually *dropped* from 30% to 16% in just one year.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is somewhat resilient
Real estate brokers land in "Somewhat Resilient" territory because AI is already changing a meaningful chunk of the job — things like writing listing descriptions, following up with leads, and answering routine questions are increasingly handled by AI tools — but the heart of the work still belongs to humans. Buyers and sellers continue to rely heavily on agents for the trust, negotiation, and guidance that come with one of the biggest financial decisions of their lives, and buyer confidence in AI to handle home searches actually *dropped* from 30% to 16% in just one year.
Read full analysisAnalysis of Current AI Resilience
Real Estate Brokers
Updated Quarterly • Last Update: 5/14/2026

If you're thinking about a career in real estate, the good news is that AI is mostly being used to help agents and brokers rather than replace them. A recent RPR survey reported by HousingWire found that 82% of real estate agents now use AI [1], mostly for writing listing descriptions, marketing, and saving time on paperwork. According to the National Association of REALTORS®, which released an AI Policy Template for Brokers in March 2026 [2], brokerages are setting clear standards for responsible use rather than handing tasks over entirely to machines.
Tools like automated home-valuation models, AI lead-followup assistants, and chatbots that answer routine buyer questions are now common, and McKinsey notes the conversation has shifted from "whether" AI will impact real estate to "how" to redesign whole workflows using agentic AI [3]. Still, the human parts of the job — negotiating, building trust, and explaining contracts — remain firmly in human hands. Florida Realtors reports that 88% of buyers and 91% of sellers still use an agent [4], because local expertise and negotiation skills are hard to copy.

Adoption is moving fast on the marketing and admin side because the tools are cheap, widely available, and save real time — RISMedia describes AI assistants that follow up on leads at 10:47 p.m. like "another team member working 24/7" [5]. But adoption is slowing down on the trust-heavy parts of the job. A Cotality study covered by Florida Realtors found buyer confidence in AI to help find a home dropped from 30% in 2025 to just 16% in 2026, and two-thirds of buyers still prefer a human for legal matters [4].
Legal and ethical concerns — like fair-housing rules and accurate disclosures — also slow full automation. Brookings research published in March 2026 notes that AI exposure is concentrated in "desk-based" white-collar jobs [6], so brokers should expect parts of their work to be reshaped. The hopeful takeaway: agents who learn AI tools will likely become more productive and competitive, while the skills that matter most — listening, negotiating, and guiding people through the biggest purchase of their lives — are exactly the ones AI struggles to replicate.

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They help people buy or sell homes by finding properties, negotiating deals, and guiding them through the paperwork and legal steps.
Median Wage
$72,280
Jobs (2024)
111,300
Growth (2024-34)
+3.3%
Annual Openings
9,700
Education
High school diploma or equivalent
Experience
Less than 5 years
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
AI-generated estimates of task resilience over the next 3 years
Obtain agreements from property owners to place properties for sale with real estate firms.
Sell, for a fee, real estate owned by others.
Act as an intermediary in negotiations between buyers and sellers over property prices and settlement details and during the closing of sales.
Maintain working knowledge of various factors that determine a farm's capacity to produce, such as agricultural variables and proximity to market centers and transportation facilities.
Give buyers virtual tours of properties in which they are interested, using computers.
Rent properties or manage rental properties.
Arrange for title searches of properties being sold.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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