Will AI replace Real Estate Brokers?
Estimated risk score: 63 out of 100
Moderate replacement risk
Estimate from published task research, not reviewed by a person · how we estimate
Within about 19 points for 4 in 5 of the jobs we checked (44 to 82).
For the occupation as a whole, from ratings of its 19 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 41-9021.00 · Sales and Related
Tasks rated in 2023 as ones AI could do or speed up
Tasks a GPT-4-class model could do, or do in half the time or less: 5 of its 19 rated tasks. In O*NET’s words.
- Arrange for title searches of properties being sold.
- Compare a property with similar properties that have recently sold to determine its competitive market price.
- Generate lists of properties for sale, their locations, descriptions, and available financing options, using computers.
- Arrange for financing of property purchases.
- Give buyers virtual tours of properties in which they are interested, using computers.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 0 of its 19 rated tasks. In O*NET’s words.
None of its rated tasks.
What the job is
Operate real estate office, or work for commercial real estate firm, overseeing real estate transactions. Other duties usually include selling real estate or renting properties and arranging loans.
Also called: Managing Broker, Buyer Broker, Lease Analyst, Property Broker, Broker Associate, Designated Broker, Lease Coordinator, Realty Specialist.
Closest jobs we score by hand
In the same field (Sales and Related). Different jobs, each scored by a person.
Source. This site includes information from the O*NET 30.1 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 license. O*NET® is a trademark of USDOL/ETA. USDOL/ETA has not approved, endorsed, or tested these modifications. (O*NET, CC BY 4.0.) Task ratings: Eloundou, Manning, Mishkin and Rock (2023), “GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models”, data used under the MIT licence (licence texts). Our change: we averaged the ratings over this occupation’s tasks and calibrated them to our 0–100 scale. It is not a prediction about any one person and not career advice. Disagree? Write to hello@yourstopwashit.com. How we estimate