SOC 13-2023

Appraisers and Assessors of Real Estate AI displacement risk

Automated valuation models price standard homes instantly, squeezing appraisal volume for routine properties. Complex properties, legal disputes, unique assets, and the certified signature that lenders and courts require keep appraisers necessary.

Exposure62

Share and intensity of work current AI systems can materially affect.

Automation40%

Likely potential for exposed tasks to move to software after workflow integration.

Risk bandModerate

AVMs have compressed the commodity end of appraisal for years, and AI improves them further. The durable work is non-standard: commercial, rural, litigation, and properties where condition judgment requires physical inspection.

Distribution

Where Appraisers and Assessors of Real Estate sits across 620 tracked roles

Appraisers and Assessors of Real Estate · 48050100

Displacement pressure 48 — higher than 78% of the 620 occupations tracked on displacement.ai.

Score version

This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-08. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.

28 O*NET task statements matched to SOC 13-2023. The displayed task profile combines these official task statements with the current public score model.

Median wage context: $65,630 (Fallback estimate; May 2025 median unavailable, US national). BLS does not publish an exact current median for this occupational split, so the page retains a clearly labeled fallback estimate.

Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.

2030 economic stress test

How Anthropic's scenarios classify Appraisers and Assessors of Real Estate

SOC 13-2023 places this role in the paper's cognitive occupation group. These group-level outcomes do not change the 48/100 role score and are not an occupation forecast.

Modest change

+0.4% group wage

-0.5% cognitive employment since mid-2026; 2.9% cognitive unemployment.

Economy-wide: +1.6% GDP and 3.9% unemployment.

Substantial change

-0.3% group wage

-3.9% cognitive employment since mid-2026; 4.5% cognitive unemployment.

Economy-wide: +8.3% GDP and 4.6% unemployment.

Extreme change

-11.5% group wage

-21.5% cognitive employment since mid-2026; 17.9% cognitive unemployment.

Economy-wide: +32.4% GDP and 11.9% unemployment.

Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.

Official task evidence

O*NET task matches for Appraisers and Assessors of Real Estate

The current evidence import matched 28 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.

Dataset31.0 (August 2026)
Matched tasks28
SOC13-2023
  • Core task / ID 21549

    Compute final estimation of property values, taking into account such factors as depreciation, replacement costs, value comparisons of similar properties, and income potential.

  • Core task / ID 21550

    Prepare written reports that estimate property values, outline methods by which the estimations were made, and meet appraisal standards.

  • Core task / ID 21569

    Photograph interiors and exteriors of properties to assist in estimating property value, substantiate findings, and complete appraisal reports.

  • Core task / ID 21565

    Search public records for transactions such as sales, leases, and assessments.

  • Core task / ID 21570

    Obtain county land values and sales information about nearby properties to aid in establishment of property values.

  • Core task / ID 21564

    Maintain familiarity with aspects of local real estate markets.

Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.

Task profile

Where AI changes the work

analytical

Evaluate properties for value

Exposure 58, automation 36%, augmentation 58%.

O*NET evidence: Compute final estimation of property values, taking into account such factors as deprec... (ID 21549)

physical

Inspect properties and sites

Exposure 24, automation 8%, augmentation 36%.

O*NET evidence: Inspect properties, considering factors such as market value, location, and building or... (ID 21556)

information

Research comparable sales data

Exposure 70, automation 48%, augmentation 62%.

language

Prepare certified appraisal reports

Exposure 62, automation 36%, augmentation 62%.

O*NET evidence: Prepare written reports that estimate property values, outline methods by which the est... (ID 21550)

TaskExposureAutomationAugmentation
Evaluate properties for value5836%58%
Inspect properties and sites248%36%
Research comparable sales data7048%62%
Prepare certified appraisal reports6236%62%

Transition pathways

Adjacent moves that preserve existing skills

credentialed transition

Commercial Real Estate Appraiser

Training horizon: 12-24 months. Skill overlap 70. Wage preservation signal 134.

  • Pursue general certification
  • Build commercial assignment experience
  • Study income-approach methods
Moderate
role redesign

Valuation Review Analyst

Training horizon: 3-6 months. Skill overlap 72. Wage preservation signal 110.

  • Audit AVM output quality
  • Review third-party appraisals
  • Flag valuation outliers
Moderate

Comparison guides

Compare the next move before you commit

What the AI risk score means for Appraisers and Assessors of Real Estate

The displacement pressure score for Appraisers and Assessors of Real Estate is 48. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.

For this role, the clearest risk pattern is visible at the task level. Research comparable sales data carries 48% automation pressure, while Research comparable sales data carries 62% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.

Labor-market context and wage risk

Median wage: $65,630 (Fallback estimate; May 2025 median unavailable, US national). Employment context: Valuation profession pressured by automated valuation models. Typical education: Bachelor's degree plus state certification.

Wage vulnerability is 44, while transition feasibility is 66. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.

  • Moderate to high displacement pressure
  • AVMs own commodity valuation
  • Complex and legal work persists

Upskilling priorities

Skills that make this role more resilient

The safest upskilling plan starts with skills already close to the work. For Appraisers and Assessors of Real Estate, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.

Priority 1

Valuation judgment

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

Priority 2

Property inspection

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

Priority 3

Market analysis

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

Priority 4

Report certification

Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.

90-day transition plan

The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.

  1. In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
  2. By 60 days, complete one small project connected to Commercial Real Estate Appraiser, such as pursue general certification.
  3. By 90 days, compare internal openings and external postings for Commercial Real Estate Appraiser or Valuation Review Analyst and update your resume around measurable workflow outcomes.

FAQ

Questions about AI and Appraisers and Assessors of Real Estate

Will AI replace Appraisers and Assessors of Real Estate?

Automated valuation models price standard homes instantly, squeezing appraisal volume for routine properties. Complex properties, legal disputes, unique assets, and the certified signature that lenders and courts require keep appraisers necessary. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.

Which parts of Appraisers and Assessors of Real Estate work are most exposed to AI?

Research comparable sales data and Evaluate properties for value show the strongest automation pressure in this model. Research comparable sales data and Prepare certified appraisal reports are better treated as AI-augmented work.

What should Appraisers and Assessors of Real Estate learn next?

Start with Valuation judgment, Property inspection, Market analysis. The most practical adjacent paths in this model are Commercial Real Estate Appraiser and Valuation Review Analyst.

How should this score be used?

Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.

Sources

Evidence trail