Appraisers and Assessors of Real Estate
In short: today's best AI models could do about 78% of this job's working time (projected from METR's April 2026 measurement and Epoch's November 2026 index) if the work were set up for them, and about 84% by the end of 2028 if progress keeps its long-run pace. The people and hands-on work, about 16% of the time, stays with people.
Appraise real estate, exclusively, and estimate its fair value. May assess taxes in accordance with prescribed schedules.
$67,960 a year (for the broader BLS group this job sits in).
A typical 40-hour week
Not yet reviewed task by task- AI could take on32 h
- A person checks AI's work0 h
- Desk work AI can't do yet2 h
- Stays with people6 h
Appraisers and Assessors of Real Estate, now: of a 40-hour week, AI could take on 32 hours, 0 hours become checking its work, 2 hours are desk work it can't do yet, and 6 hours stay with people.
The largest pieces: Prepare written reports that estimate property values, outline methods by which the estimations were made, and meet appraisal standards (about 5 h); Collect and analyze relevant data to identify real estate market trends (about 5 h); Compute final estimation of property values, taking into account such factors as depreciation, replacement costs, value comparisons of similar properties, and income potential (about 4 h).
Estimates for a typical week of this job, if progress keeps its long-run pace, counting work the best models finish four times in five. Every task is below.
of the working time. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.
- 84%
- 2%
- 14%
Anthropic's data does not cover this job.
On the chosen pace and reliability. Estimate.
Share of the working time within reach, now to 2030
Change assumptionsHide assumptionsLong-run pace, four in five
What each choice means: , , , , . Every pace starts from .
At this date and pace, models finish tasks up to 2.4 work days long four times in five.
How far this has come
With GPT-4, measured in March 2023, 0% of this job's working time was within reach at . With Claude 3.7 Sonnet, measured in February 2025, 0%. With Claude Mythos Preview (early), measured in April 2026, 45%. Today's estimate: 79%.
A backcast: today's task data with the best model METR had measured by each date. It shows how fast the models have moved, not what anyone forecast at the time.
Measured use over time
Of the Claude.ai conversations Anthropic sampled and tied to a work task, 0.032% went to this job's tasks in May 2026, the 256th largest of the 447 jobs that showed up at all; 2 of its 28 tasks showed up. Within each of Anthropic's methods, never across a change: 0.045% to 0.04% (released February and March 2025); 0.028% to 0.056% (August 2025 to February 2026); 0.034% to 0.032% (April to May 2026).
Each release
| Conversations | Share | Rank | Tasks seen |
|---|---|---|---|
| Released February 2025 | 0.045% | 292 of 708 | 7 of 28 |
| Released March 2025 | 0.04% | 306 of 703 | 6 of 28 |
| The week of Aug 4, 2025 (released September 2025) | 0.028% | 328 of 655 | 7 of 28 |
| The week of Nov 13, 2025 (released January 2026) | 0.026% | 345 of 672 | 7 of 28 |
| The week of Feb 5, 2026 (released March 2026) | 0.056% | 241 of 677 | 10 of 28 |
| April 2026 (released June 2026) | 0.034% | 249 of 434 | 2 of 28 |
| May 2026 (released June 2026) | 0.032% | 256 of 447 | 2 of 28 |
Measured, not estimated: Anthropic's samples of Claude.ai conversations, each tied by a model to an O*NET task, from the Anthropic Economic Index. It says where Claude's use goes, not how much of this job's working time it covers, so it is not on the same scale as the reach above. The releases differ in their sample, their classifier and the smallest share they report (the June 2026 file rounds each task to a hundredth of a percent, so a smaller task reads as none), which is why a change of method starts a new line. At least 96% of each older release's task-tied use matched this site's tasks, and all of the newest. Claude.ai only, so use through other tools and other companies' models is not in it. Every job ranked.
Robots and the physical work
Anthropic rates 18% of this job's working time as physical work. For 4% of the working time, a robot has been shown doing most of the task somewhere: 3% in a structured facility, 1% in any setting. 0.09 of 3, the 530th highest of the 923 jobs.
- Not physical 82%
- No robot shown 14%
- In a structured facility 3%
- In any setting 1%
Anthropic's rating, not this site's estimate: Claude Opus 5, searching the web, rated each physical O*NET task by the kind of setting in which a robot it could cite (deployed, sold or demonstrated) does most of the task, weighted by its own estimate of each task's share of the time (What work can robots do?, September 30, 2026, data CC BY 4.0; every job ranked). A robot shown somewhere is not a robot in your building: cost, setup and safety decide that. The share within reach on this page still counts no body work. The robot behind each rated task is under the task below.
The tasks
Sorted by . 28 tasks from .
| Task | Kind | |||
|---|---|---|---|---|
| Collect and analyze relevant data to identify real estate market trends.Done daily by most who do it. | 11% | 3.3 h1.7 h to 6.7 h | 100%Half by now | |
| Prepare written reports that estimate property values, outline methods by which the estimations were made, and meet appraisal standards.Done daily by most who do it. AI observed on this task. | 11% | 2.5 h1.7 h to 6.7 h | 100%Half by now | |
| Compute final estimation of property values, taking into account such factors as depreciation, replacement costs, value comparisons of similar properties, and income potential.Done daily by most who do it. | 11% | 2.5 h1.7 h to 4.2 h | 100%Half by now | |
| Establish uniform and equitable systems for assessing all classes and kinds of property.Done yearly or less by most who do it. | 10% | 1.3 work days3.3 h to 4.2 work days | 44%Half by Dec 2026 | |
| Maintain familiarity with aspects of local real estate markets.Done daily by most who do it. AI observed on this task. | 6% | 1.7 h50 min to 3.3 h | 100%Half by now | |
| Obtain county land values and sales information about nearby properties to aid in establishment of property values.Done daily by most who do it. | 5% | 1.3 h25 min to 2.5 h | 100%Half by now | |
| Analyze trends in sales prices, construction costs, and rents, to assess property values or determine the accuracy of assessments.Done daily by most who do it. AI observed on this task. | 5% | 2.5 h1.3 h to 5 h | 100%Half by now | |
| Inspect properties, considering factors such as market value, location, and building or replacement costs to determine appraisal value.Done daily by most who do it. Robots: no robot shown. Anthropic's rating. | 4% | 1.7 h50 min to 3.3 h | Stays with people | |
| Determine taxability of properties, using methods such as field inspection, structural measurement, calculation, sales analysis, market trend studies, and income and expense analysis.Done more than weekly by most who do it. | 4% | 5 h1.7 h to 2.5 work days | Stays with people | |
| Examine income records and operating costs of income properties.Done more than monthly by most who do it. AI observed on this task. | 3% | 1.7 h50 min to 5 h | 100%Half by now | |
| Evaluate land and neighborhoods where properties are situated, considering locations and trends or impending changes that could influence future values.Done more than weekly by most who do it. | 3% | 1.7 h50 min to 3.3 h | 100%Half by now | |
| Search public records for transactions such as sales, leases, and assessments.Done daily by most who do it. AI observed on this task. | 3% | 50 min25 min to 1.7 h | 100%Half by now |
Within reach, per task: the share of the task's time whose instances are short enough for a model to finish at the chosen date, pace and reliability. Half by: the date half of that time comes within reach.
Jobs that share skills with this one
From O*NET's related occupations. Within reach now and by the end of 2028, long-run pace, four in five.
- Appraisers of Personal and Business Property70% now, 75% by 2028
- Real Estate Brokers44% now, 45% by 2028
- Real Estate Sales Agents40% now, 41% by 2028
- Property, Real Estate, and Community Association Managers41% now, 42% by 2028
- Government Property Inspectors and Investigators49% now, 70% by 2028
- Surveyors51% now, 70% by 2028
Where this job works
The industry groups that employ the most of it (BLS, May 2025). Counts are for the broader BLS group this job sits in.
Where the most of these jobs are
The metro areas with the most people in it (BLS, May 2025). Counts are for the broader BLS group this job sits in.
Questions about this job
- How much of the work of Appraisers and Assessors of Real Estate is within reach of AI now?
- An estimated 79% of the working time is within reach of AI models now and 84% by the end of 2028, on METR's long-run pace at four in five. Within reach means a model could finish work that long at that reliability. It is not a forecast of jobs lost or of savings.
- Which tasks of Appraisers and Assessors of Real Estate come within reach first?
- Weighted by the time each takes, the tasks with the most within reach now (projected from METR's April 2026 measurement and Epoch's November 2026 index) are: Prepare written reports that estimate property values, outline methods by which the estimations were made, and meet appraisal standards (100% of the task's time now); Collect and analyze relevant data to identify real estate market trends (100% of the task's time now); and Compute final estimation of property values, taking into account such factors as depreciation, replacement costs, value comparisons of similar properties, and income potential (100% of the task's time now).
- Which tasks of Appraisers and Assessors of Real Estate stay with people?
- Tasks that are people work or body work are not counted as within reach at any date. The largest: Inspect properties, considering factors such as market value, location, and building or replacement costs to determine appraisal value; Determine taxability of properties, using methods such as field inspection, structural measurement, calculation, sales analysis, market trend studies, and income and expense analysis; and Inspect new construction and major improvements to existing structures to determine values. Together such tasks are about 16% of the working time.
- Do people already use AI for the work of Appraisers and Assessors of Real Estate?
- In the Claude.ai conversations Anthropic sampled for May 2026 and tied to a work task, 0.032% went to this job's tasks, the 256th largest share of the 447 jobs that showed up; 2 of its 28 tasks appeared. These are measures of use, not of how much of the work AI could finish, and they cover Claude only.
- Can robots do the physical work of Appraisers and Assessors of Real Estate?
- Anthropic's robot exposure rating (September 2026) finds 18% of the working time is physical work, and that a robot has been shown doing most of the task, somewhere, for 4% of the working time, 1% in any setting. Its index is 0.09 of 3. One example: Loveland Innovations IMGING / IMGING Flight for "conduct regular reviews of property within jurisdictions to determine changes in property due to construction or demolition". A robot shown somewhere is not one in every workplace; this site's own estimates still count no physical work as within reach.
- How is this estimated?
- From the 28 tasks O*NET lists for the occupation, each with an estimated length checked against GDPval and a share of the working time, each classed as desk, people or body work, and METR's measurements of how long a task the best AI models can finish, carried forward to the date from the latest, Claude Mythos Preview (early) in April 2026. Data checked November 10, 2026.
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