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AI Automation Index
Will AI Replace Appraisers of Personal and Business Property?
Task-level automation exposure for Appraisers of Personal and Business Property: 14 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
59%
weighted task index
14 of 14 tasks scored
Median Salary
$67,960 / year
BLS OEWS, May 2025 — this exact occupation
Employment Level
Medium
57,070 people hold this job — size, not growth
Projected 2025–35
+3.5%
employment change
5,200 openings a year · BLS roll-up 13-2020
Pay by state
BLS OEWS publishes 51 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$33,370 – $107,980
Highest medians
District of Columbia $107,980
New Jersey $92,390
Massachusetts $91,750
California $88,900
Connecticut $86,050
Lowest medians
Puerto Rico $33,370
West Virginia $44,940
Oklahoma $49,990
New Mexico $50,550
Arkansas $50,840
OEWS has no state row for this exact code, so figures come from the 13-2020 roll-up. 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 59%
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 47%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 40%
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 17/100
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
14 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) 54%
7 tasks
Medium exposure (≥ 35%) 30%
4 tasks
Low exposure (below 35%) 16%
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 →Constituent Tasks
#21548 · Core · 85% automatable
Write descriptions of the property being appraised.
text generation — Write informational material from brief
Write informational material.
#21537 · Core · 55% automatable
Determine the appropriate type of valuation to make, such as fair market, replacement, or liquidation, based on the needs of the property owner.
decision support — Procedures drafted; human validates feasibility
Determine operational procedures.
#21538 · Core · 72% automatable
Document physical characteristics of property such as measurements, quality, and design.
text generation — Reports/evaluations drafted; human owns judgment
Write reports or evaluations.
#21535 · Core · 45% automatable
Calculate the value of property based on comparisons to recent sales, estimated cost to reproduce, and anticipated property income streams.
decision support — Appraisal needs local market judgment and inspection
Appraise property values.
#21541 · Core · 78% automatable
Locate and record data on sales of comparable property using specialized software, internet searches, or personal records.
data analysis — Data entry into systems automatable
Gather information in order to provide services to clients. Enter information into databases or software programs.
#21547 · Core · 72% automatable
Write and submit appraisal reports for property, such as jewelry, art, antiques, collectibles, and equipment.
text generation — Reports/evaluations drafted; human owns judgment
Write reports or evaluations.
#21540 · Core · 25% automatable
Inspect personal or business property.
visual inspection — Defect inspection of physical items needs presence
Inspect items for damage or defects.
#21536 · Core · 82% automatable
Create and maintain a database of completed appraisals.
data analysis — Compiling data or documentation is largely automatable
Compile data or documentation. Create databases to store electronic data. Maintain data in information systems or databases.
#21543 · Core · 35% automatable
Take photographs of property.
visual inspection — Capturing relevant images in field is human act
Record images needed to address work issues.
#21546 · Core · 80% automatable
Verify that property matches legal descriptions or certifications.
information retrieval — Spec verification against references, human confirms edge cases
Verify information or specifications.
#21545 · Core · 65% automatable
Update appraisals when property has been improved, damaged, or has otherwise changed.
data analysis — Database updates routine and automatable
Appraise property values. Update computer database information.
#21544 · Core · 15% automatable
Testify in court as to the value of a piece of tangible property.
interpersonal — Testimony carries legal accountability and live presence
Testify at legal or legislative proceedings.
#21539 · Core · 55% automatable
Forecast the value of property.
data analysis — Forecasting is uncertain; human judgment on drivers
Forecast economic, political, or social trends.
#21542 · Supplemental · 30% automatable
Recommend loan amounts based on the value of property being used as collateral.
decision support — Financial decisions carry accountability and require authority
Implement financial decisions.
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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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