Will AI replace Appraisers of Personal and Business Property?
Estimated risk score: 64 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 (45 to 83).
For the occupation as a whole, from ratings of its 14 O*NET tasks published in 2023 and calibrated to our hand scores. A specialty inside it can sit higher or lower.
O*NET-SOC 13-2022.00 · 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: 7 of its 14 rated tasks; the first 6 are shown. In O*NET’s words.
- Write descriptions of the property being appraised.
- Calculate the value of property based on comparisons to recent sales, estimated cost to reproduce, and anticipated property income streams.
- Create and maintain a database of completed appraisals.
- Forecast the value of property.
- Locate and record data on sales of comparable property using specialized software, internet searches, or personal records.
- Recommend loan amounts based on the value of property being used as collateral.
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 14 rated tasks. In O*NET’s words.
None of its rated tasks.
What the job is
Appraise and estimate the fair value of tangible personal or business property, such as jewelry, art, antiques, collectibles, and equipment. May also appraise land.
Also called: Art Appraiser, Estate Appraiser, Appraiser Analyst, Aircraft Appraiser, Certified Appraiser, Machinery Appraiser, Accredited Appraiser, Industrial 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