Will AI replace Appraisers and Assessors of Real Estate?
Estimated risk score: 70 out of 100
High 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 (51 to 89).
For the occupation as a whole, from ratings of its 30 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 13-2023.00 · Business and Financial Operations
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: 15 of its 30 rated tasks; the first 6 are shown. In O*NET’s words.
- Calculate tax bills for properties by multiplying assessed values by jurisdiction tax rates.
- Check building codes and zoning bylaws to determine any effects on the properties being appraised.
- Collect and analyze relevant data to identify real estate market trends.
- Compute final estimation of property values, taking into account such factors as depreciation, replacement costs, value comparisons of similar properties, and income potential.
- Draw land diagrams to be used in appraisal reports to support findings.
- Examine income records and operating costs of income properties.
Tasks rated in 2023 as not sped up by AI
Tasks such a model was rated as not speeding up or taking over: 1 of its 30 rated tasks. In O*NET’s words.
- Interview persons familiar with properties and immediate surroundings, such as contractors, home owners, and realtors, to obtain pertinent information.
What the job is
Appraise real estate, exclusively, and estimate its fair value. May assess taxes in accordance with prescribed schedules.
Also called: Assessor, Real Estate Appraiser, Tax Assessor, City Assessor, ROW Appraiser, Sole Assessor, Tax Appraiser, Bank Appraiser.
Closest jobs we score by hand
In the same field (Business and Financial Operations). 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