Somewhat Resilient

Last Update: 6/19/2026

AI Resilience Score for Real Estate Brokers:

39.6%

Median Score

Meaningful human contribution

Low

Long-term employer demand

Med

Sustained economic opportunity

Med

Our confidence in this score:
High

Contributing sources

Methodology and Scoring Rationale

To score how resilient real estate broker work is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from four AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, and Will Robots Take My Job. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For real estate brokers, all seven sources had data and mostly agreed: AI Resilience Model, Anthropic, and Microsoft all rated AI exposure as high, with only Will Robots Take My Job landing at medium, so confidence is high. Demand and pay signals came in at medium across the board, leaving real estate brokers "Somewhat Resilient."

AI Resilience Report forReal Estate Brokers

$72,280 median salary9,700 annual openingsSOC Code: 41-9021.00

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 the "Somewhat Resilient" category because AI is genuinely reshaping big parts of the job, especially the marketing, paperwork, and lead follow-up tasks that used to eat up hours of an agent's day. The good news is that the heart of the work, things like negotiating deals, building trust with clients, and guiding someone through the biggest financial decision of their life, is still very much a human job, and surveys show that most buyers and sellers still want a real person in their corner.

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This role is somewhat resilient

Real estate brokers land in the "Somewhat Resilient" category because AI is genuinely reshaping big parts of the job, especially the marketing, paperwork, and lead follow-up tasks that used to eat up hours of an agent's day. The good news is that the heart of the work, things like negotiating deals, building trust with clients, and guiding someone through the biggest financial decision of their life, is still very much a human job, and surveys show that most buyers and sellers still want a real person in their corner.

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Analysis of Current AI Resilience

Real Estate Brokers

Updated Quarterly

Analysis
Suggested Actions
State of Automation

How is AI changing Real Estate Brokers jobs?

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.

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AI Adoption

How fast is AI adoption growing for Real Estate Brokers?

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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Will AI replace Real Estate Brokers?

Will AI replace Real Estate Brokers?

Not entirely. We think AI will take over some tasks, but not the whole job.

Our 39.6% AI Resilience Score reflects real pressure on this career. The administrative and marketing side is already shifting fast. About 82% of real estate agents now use AI for writing listings, following up on leads, and cutting through paperwork [1]. Tools that handle routine buyer questions or send late-night follow-ups are becoming standard across brokerages [5]. Brokers who ignore these tools will likely fall behind those who embrace them.

But the core of the job is holding up. Buyers and sellers still want a human in their corner: 88% of buyers and 91% of sellers still use an agent [4]. Buyer confidence in AI to help find a home actually dropped from 30% in 2025 to just 16% in 2026, and two-thirds of buyers still prefer a human for legal matters [4]. Negotiating a deal, reading a room, and guiding someone through the biggest financial decision of their life are exactly the skills AI struggles to replicate.

The honest picture is that this role is evolving, not disappearing. Brokers who learn AI tools while sharpening their people skills will likely find themselves more competitive, not less relevant.

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Latest AI news for Real Estate Brokers

These articles highlight how AI is reshaping the real estate broker landscape, offering students insights into its transformative potential. For instance, "5 Ways Real Estate Brokers Are Leveraging AI" illustrates how virtual staging and automated listing descriptions save time and enhance property presentation. Meanwhile, "Harnessing AI: A Guide for Real Estate Agents" emphasizes AI's role in improving marketing and client engagement. Embracing these tools can empower new brokers to thrive in a competitive market, fostering AI resilience in their careers while focusing on the human element for success.

More Career Info

Career: Real Estate Brokers

They help people buy or sell homes by finding properties, negotiating deals, and guiding them through the paperwork and legal steps.

Employment & Wage Data

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

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

93% ResilienceCore Task

Obtain agreements from property owners to place properties for sale with real estate firms.

2

92% ResilienceCore Task

Sell, for a fee, real estate owned by others.

3

91% ResilienceCore Task

Act as an intermediary in negotiations between buyers and sellers over property prices and settlement details and during the closing of sales.

4

90% ResilienceSupplemental

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.

5

88% ResilienceSupplemental

Give buyers virtual tours of properties in which they are interested, using computers.

6

82% ResilienceCore Task

Rent properties or manage rental properties.

7

78% ResilienceCore Task

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.

The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.

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