Tasadores y Evaluadores de Propiedad
Negocios y FinanzasEstados Unidos · Proyecciones de empleo BLS 2025–35: este código SOC no figura entre las partidas publicadas.
Exposición a la IA
- Fuente de datos: ILOPublicado: 2025
0.45
0.09Rango de los valores aquí recogidos0.70Valor por grupo ocupacional
Escala, base y fuente
Índice de exposición a la IA generativa, 0–1 tal como se publica
Grupo primario de la CIUO-08 — todas las ocupaciones con ese código reciben este valor
Calculado por este sitio, no publicado por la OIT: de las 1012 ocupaciones que este sitio vincula al conjunto de datos de la OIT, un 25% alcanza o supera este valor.
- Fuente de datos: OpenAIPublicado: 2023
0.464
0.000Rango de los valores aquí recogidos0.844Escala, base y fuente
β de evaluadores humanos, 0–1 tal como se publica
Mapeado sobre tareas de O*NET
Task-level exposure
Ver 30 tareas ocultas| Task | Claude.aiRaw / share % |
|---|---|
Maintain familiarity with aspects of local real estate markets.13-2021 | 0.014336.7 |
Prepare written reports that estimate property values, outline methods by which the estimations were made, and meet appraisal standards.13-2021 | 0.010426.6 |
Analyze trends in sales prices, construction costs, and rents, to assess property values or determine the accuracy of assessments.13-2021 | 0.006015.3 |
Compute final estimation of property values, taking into account such factors as depreciation, replacement costs, value comparisons of similar properties, and income potential.13-2021 | 0.00348.7 |
Evaluate land and neighborhoods where properties are situated, considering locations and trends or impending changes that could influence future values.13-2021 | 0.00348.7 |
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.13-2021 | 0.00154.0 |
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task | βE1 + 0.5 × E2 |
|---|---|
Calculate tax bills for properties by multiplying assessed values by jurisdiction tax rates.O*NET Task ID 21575 | 1.0 |
Compute final estimation of property values, taking into account such factors as depreciation, replacement costs, value comparisons of similar properties, and income potential.O*NET Task ID 21549 | 0.5 |
Prepare written reports that estimate property values, outline methods by which the estimations were made, and meet appraisal standards.O*NET Task ID 21550 | 0.5 |
Inspect new construction and major improvements to existing structures to determine values.O*NET Task ID 21551 | 0.5 |
Collect and analyze relevant data to identify real estate market trends.O*NET Task ID 21552 | 0.5 |
Prepare and maintain current data on each parcel assessed, including maps of boundaries, inventories of land and structures, property characteristics, and any applicable exemptions.O*NET Task ID 21553 | 0.5 |
Explain assessed values to property owners and defend appealed assessments at public hearings.O*NET Task ID 21554 | 0.5 |
Identify the ownership of each piece of taxable property.O*NET Task ID 21555 | 0.5 |
Inspect properties, considering factors such as market value, location, and building or replacement costs to determine appraisal value.O*NET Task ID 21556 | 0.5 |
Complete and maintain assessment rolls that show the assessed values and status of all property in a municipality.O*NET Task ID 21557 | 0.5 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page