AI exposure by occupation, O*NET 41-9021.00

Will AI replace Real Estate Brokers?

Real Estate Brokers: AI can already handle 15 of 17 tasks; the work mostly needs a frontier-tier model.

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Every task, scored

The 17 tasks O*NET 30.3 lists for Real Estate Brokers, from most to least exposed. 15 reach 60 or more, the level at which AI already handles a task.

Task AI exposure Evidence Model tier Importance
Sell, for a fee, real estate owned by others. 75 Estimated Frontier 4.6
Obtain agreements from property owners to place properties for sale with real estate firms. 75 Estimated Efficient 4.5
Act as an intermediary in negotiations between buyers and sellers over property prices and settlement details and during the closing of sales. 75 Estimated Frontier 4.4
Supervise agents who handle real estate transactions. 75 Estimated Frontier 4.3
Generate lists of properties for sale, their locations, descriptions, and available financing options, using computers. 75 Estimated Efficient 4.2
Manage or operate real estate offices, handling associated business details. 75 Estimated Frontier 4.2
Compare a property with similar properties that have recently sold to determine its competitive market price. 75 Estimated Standard 4.1
Monitor fulfillment of purchase contract terms to ensure that they are handled in a timely manner. 75 Estimated Efficient 4.1
Check work completed by loan officers, attorneys, or other professionals to ensure that it is performed properly. 75 Estimated Efficient 3.9
Rent properties or manage rental properties. 75 Estimated Frontier 3.8
Arrange for financing of property purchases. 75 Estimated Efficient 3.7
Arrange for title searches of properties being sold. 75 Estimated Efficient 3.5
Give buyers virtual tours of properties in which they are interested, using computers. 75 Estimated Frontier 3.4
Appraise property values, assessing income potential when relevant. 65 Estimated Standard 3.3
Review property details to ensure that environmental regulations are met. 65 Estimated Standard 3.2
Maintain knowledge of real estate law, local economies, fair housing laws, types of available mortgages, financing options, and government programs. 20 Estimated Efficient 4.1
Maintain awareness of current income tax regulations, local zoning, building and tax laws, and growth possibilities of a property's area. 20 Estimated Efficient 3.7

Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 17 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 17 of 17. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.

The model tier this role needs

A frontier-tier model or lower covers 100% of the role's importance-weighted task work. 100% of the work is something AI can address at some tier.

Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.

Wages, employment and outlook

US employment
46,100
Median annual wage
$73,220
Middle half of earners
$46,480 to $103,360
Projected change, 2024 to 2034
+3.3%

Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.

Adjacent roles

The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.

Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.

Questions about Real Estate Brokers and AI

Will AI replace Real Estate Brokers?

AI already handles 15 of the 17 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 68 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by +3.3% from 2024 to 2034.

What is the AI exposure of Real Estate Brokers?

68 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 0 of the 17 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 17 are estimated from each task's O*NET work activity.

Which Real Estate Brokers tasks can AI already do?

The tasks with the highest exposure are: Sell, for a fee, real estate owned by others; Obtain agreements from property owners to place properties for sale with real estate firms; Act as an intermediary in negotiations between buyers and sellers over property prices and settlement details and during the closing of sales. They are three of the 15 tasks that reach 60 or more.

What AI model tier does this role need?

A frontier-tier model or lower covers 100% of the role's importance-weighted task work. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.

How many people work as Real Estate Brokers, and what do they earn?

46,100 people in the United States, with a median annual wage of $73,220 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +3.3% from 2024 to 2034.

How to cite

Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.

JobRoute (2026). AI exposure: Real Estate Brokers. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/real-estate-brokers

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