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AI Automation Index
Will AI Replace Real Estate Brokers?
Task-level automation exposure for Real Estate Brokers: 19 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
58%
weighted task index
19 of 19 tasks scored
Median Salary
$73,220 / year
BLS OEWS, May 2025 — this exact occupation
Employment Level
Medium
46,100 people hold this job — size, not growth
Projected 2025–35
+0.8%
employment change
7,800 openings a year · BLS line item
Pay by state
BLS OEWS publishes 36 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$39,850 – $111,390
Highest medians
New Jersey $111,390
Connecticut $105,800
Utah $92,830
Washington $82,790
Alabama $82,630
Lowest medians
Minnesota $39,850
Mississippi $41,690
Iowa $50,140
New Hampshire $51,490
North Carolina $52,830
State figures come from the 41-9021 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
What the score is made of
Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.
Automation potential 58%
Importance-weighted mean of the scored tasks. This is the headline index.
Physical work 0%
Share of weighted tasks in hands-on or machine-operating work activities.
Judgment & influence 60%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 6%
Share in documenting, recording, and administrative activities.
Rewritten by O*NET 0%
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
Consequence of error 0/100
Low
O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.
Constituent Task Mix
19 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
High exposure (≥ 60% of the task is automatable) 47%
9 tasks
Medium exposure (≥ 35%) 36%
7 tasks
Low exposure (below 35%) 17%
3 tasks
How would you survive?
Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.
Simulate Upskilling →Emerging & rewritten tasks
Tasks O*NET added or rewrote for this occupation in its recent updates (05/2025 – 08/2026), with who proposed them. Additions are not in the scored task inventory — they are new work O*NET is still measuring, so they appear here and nowhere in the index. A Revision replaces a task that is scored, which is why only those move the "Rewritten by O*NET" share.
- New 08/2026 · Incumbent
Negotiate lease terms and renewals for the client.
- New 08/2026 · Incumbent
Tour homes with tenants or buyers.
Constituent Tasks
#4600 · Core · 65% automatable
Obtain agreements from property owners to place properties for sale with real estate firms.
text generation — Draft contracts; legal terms human-owned
Prepare sales or other contracts.
#4599 · Core · 28% automatable
Sell, for a fee, real estate owned by others.
interpersonal — Real estate contracting needs licensed agent and client trust
Contract real estate to clients.
#4602 · Core · 45% automatable
Compare a property with similar properties that have recently sold to determine its competitive market price.
decision support — Appraisal needs local market judgment and inspection
Appraise property values.
#4603 · Core · 38% automatable
Act as an intermediary in negotiations between buyers and sellers over property prices and settlement details and during the closing of sales.
interpersonal — Price negotiation needs live give-and-take
Negotiate prices or other sales terms.
#4604 · Core · 78% automatable
Generate lists of properties for sale, their locations, descriptions, and available financing options, using computers.
information retrieval — Property info lookup from databases
Obtain property information.
#4605 · Core · 82% automatable
Maintain knowledge of real estate law, local economies, fair housing laws, types of available mortgages, financing options, and government programs.
information retrieval — AI reviews and summarizes laws; human confirms
Review laws or regulations to maintain professional knowledge.
#4612 · Core · 28% automatable
Rent properties or manage rental properties.
interpersonal — Real estate contracting needs licensed agent and client trust
Contract real estate to clients.
#4601 · Core · 85% automatable
Monitor fulfillment of purchase contract terms to ensure that they are handled in a timely manner.
data analysis — Transaction accuracy checks are rule-based and reliable
Review accuracy of sales or other transactions.
#4606 · Core · 85% automatable
Check work completed by loan officers, attorneys, or other professionals to ensure that it is performed properly.
data analysis — Transaction accuracy checks are rule-based and reliable
Review accuracy of sales or other transactions.
#4608 · Core · 45% automatable
Appraise property values, assessing income potential when relevant.
decision support — Appraisal needs local market judgment and inspection
Appraise property values.
#4607 · Core · 50% automatable
Arrange for financing of property purchases.
decision support — Resource navigation aided by AI; human owns case
Help clients get needed services or resources.
#4615 · Core · 58% automatable
Review property details to ensure that environmental regulations are met.
decision support — Maps facts to statutes; legal accountability stays human
Assess compliance with environmental laws.
#4609 · Core · 81% automatable
Maintain awareness of current income tax regulations, local zoning, building and tax laws, and growth possibilities of a property's area.
information retrieval — AI reviews and summarizes laws; human confirms
Monitor market conditions or trends. Review laws or regulations to maintain professional knowledge.
#4614 · Core · 79% automatable
Give buyers virtual tours of properties in which they are interested, using computers.
data analysis — Data entry into systems automatable
Create images or other visual displays. Enter information into databases or software programs.
#4613 · Core · 78% automatable
Arrange for title searches of properties being sold.
information retrieval — Property info lookup from databases
Obtain property information.
#4610 · Supplemental · 40% automatable
Manage or operate real estate offices, handling associated business details.
interpersonal — Overseeing business processes requires human accountability
Oversee business processes.
#4616 · Supplemental · 44% automatable
Develop, sell, or lease property used for industry or manufacturing.
decision support — Site assessment aided by data; human verifies
Assess locations for potential green technology installations. Sell products or services.
#4611 · Supplemental · 30% automatable
Supervise agents who handle real estate transactions.
interpersonal — Motivating and directing salespeople is relational work
Supervise sales or support personnel.
#4617 · Supplemental · 81% automatable
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.
data analysis — Compiling operational data from sources is automatable
Compile operational data. Maintain current knowledge related to work activities. Maintain knowledge of laws or regulations.
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How this was scored
- 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
- 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
- 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
- 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.
Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.
Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast
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