Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Occupation · SOC 13-2023.00
Appraise real estate, exclusively, and estimate its fair value. May assess taxes in accordance with prescribed schedules.
Also called: Appraiser · Assessor · Commercial Appraiser · Real Estate Appraiser · Certified Real Estate Appraiser · Certified Residential Appraiser · County Assessor · Field Appraiser · Real Property Appraiser · Tax Assessor · Appraisal Manager · Appraisal Reviewer
Job family: Business and Financial Operations Occupations
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-13-2023-00/context.md directly.
A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Independent published positions, read together — not a forecast.
What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.
Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.
| Measure | Rank vs all occupations | Percentile | Score |
|---|---|---|---|
| LLM task exposure, γ (OpenAI / Eloundou) High | 89th | 1.0 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.0), with simple added tooling (β 0.5), and including AI-powered software (γ 1.0). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.
| Maintain familiarity with aspects of local real estate markets. | 1.4% | |
| Prepare written reports that estimate property values, outline methods by which the estimations were made, and meet appraisal standards. | 1.0% | |
| Analyze trends in sales prices, construction costs, and rents, to assess property values or determine the accuracy of assessments. | 0.6% | |
| Compute final estimation of property values, taking into account such factors as depreciation, replacement costs, value comparisons of similar properties, and income potential. | 0.3% | |
| Evaluate land and neighborhoods where properties are situated, considering locations and trends or impending changes that could influence future values. | 0.3% | |
| Examine the type and location of nearby services, such as shopping centers, schools, parks, and other neighborhood features, to evaluate their impact on property values. | 0.2% |
All 30 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
O*NET importance rating, from 1 (not important) to 5 (extremely important).
| Near Vision | 3.9 | |
| Oral Comprehension | 3.8 | |
| Speech Recognition | 3.8 | |
| Written Comprehension | 3.6 | |
| Oral Expression | 3.6 | |
| Speech Clarity | 3.6 | |
| Written Expression | 3.5 | |
| Deductive Reasoning | 3.5 | |
| Inductive Reasoning | 3.5 | |
| Category Flexibility | 3.3 | |
| Problem Sensitivity | 3.1 | |
| Information Ordering | 3.1 | |
| Number Facility | 3.1 | |
| Far Vision | 3.1 | |
| Mathematical Reasoning | 3.0 | |
| Flexibility of Closure | 3.0 | |
| Selective Attention | 3.0 |
| Reading Comprehension | 3.6 | |
| Active Listening | 3.5 | |
| Critical Thinking | 3.5 | |
| Writing | 3.4 | |
| Speaking | 3.4 | |
| Monitoring | 2.9 | |
| Active Learning | 2.8 |
| Complex Problem Solving | 3.1 | |
| Judgment and Decision Making | 3.0 | |
| Coordination | 2.9 | |
| Social Perceptiveness | 2.8 | |
| Persuasion | 2.8 | |
| Service Orientation | 2.8 |
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
Showing the top 40 of 43.
Showing the top 40 of 66.
How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.
What to study: Architecture and Related Services , Business, Management, Marketing, and Related Support Services . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Share of people in this occupation at each level of education.
| Bachelor's Degree | 54.5% | |
| Associate's Degree (or other 2-year degree) | 27.3% | |
| Some College Courses | 9.1% | |
| High School Diploma | 4.5% | |
| Post-Secondary Certificate | 4.5% |
The interests and personal qualities O*NET associates with people who do this work.
| Conventional | 5.8 | |
| Enterprising | 4.9 | |
| Investigative | 2.9 | |
| Realistic | 2.7 | |
| Social | 2.6 |
| Dependability | 4.0 | |
| Attention to Detail | 3.0 | |
| Integrity | 2.5 | |
| Cautiousness | 2.1 |
| Finance | 3.6 | |
| Office Work | 3.4 | |
| Accounting | 3.1 | |
| Law | 2.8 | |
| Mathematics/Statistics | 2.6 | |
| Management/Administration | 2.2 | |
| Public Speaking | 2.0 |
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
Options the data surfaces for Appraisers and Assessors of Real Estate — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Capabilities this work builds that are used across many other occupations.
Occupations O*NET rates as related — the nearby moves on the map.
How people typically prepare for this work.
See where this work sits in the bigger picture.
Appraisers and Assessors of Real Estate sit at the 94th percentile of AI task overlap among U.S. occupations
Appraisers and Assessors of Real Estate sit at the 94th percentile of AI task overlap among U.S. occupations • Appraisers and Assessors of Real Estate rank in the 94th percentile (High band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE) Source: Singulariki — "Appraisers and Assessors of Real Estate". https://singulariki.com/roles/role-13-2023-00 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
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Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
Data compiled June 2, 2026. Figures are estimates, not advice.
Singulariki. "Appraisers and Assessors of Real Estate." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/roles/role-13-2023-00
Singulariki. (2026). Appraisers and Assessors of Real Estate. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-13-2023-00
@misc{singulariki-role-13-2023-00,
title = {Appraisers and Assessors of Real Estate},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-13-2023-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.