Empleados de Mostrador y Alquiler
Ventas y MarketingExposición a la IA
- Fuente de datos: BLSPublicado: 2026-08
Muy alto· relativa
BajoCuatro bandas relativasMuy altoValor por grupo ocupacional
Escala, base y fuente
Cuatro bandas relativas (Bajo / Moderado / Alto / Muy alto)
831 ocupaciones detalladas de la tabla de proyecciones de empleo de BLS. El valor se asigna por código de la National Employment Matrix (NEM), de modo que las ocupaciones que comparten un código NEM reciben la misma banda
- Fuente de datos: AnthropicPublicado: 2026-03
0.205
0.000Rango de los valores aquí recogidos0.745Escala, base y fuente
Índice de exposición observada, 0–1 tal como se publica
Mapeado sobre tareas de O*NET
- Fuente de datos: OpenAIPublicado: 2023
0.677
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
Qué tipo de cifra publica esta fuente
La categoría de BLS es un rango relativo, no un nivel absoluto, y tampoco es una medición de primera mano: agrupa en cuatro bandas los rangos percentiles de la ocupación en varios estudios publicados. No es una previsión de empleo ni de salarios, no es una probabilidad de adopción y no distingue entre automatización y aumento.
Task-level exposure
Ver 9 tareas ocultas| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Recommend and provide advice on a wide variety of products and services.41-2021 | 0.061753.3 | 0.019138.2 |
Explain rental fees, policies, and procedures.41-2021 | 0.025522.0 | 0.005611.1 |
Provide information about rental items, such as availability, operation, or description.41-2021 | 0.015413.3 | 0.014829.6 |
Advise customers on use and care of merchandise.41-2021 | 0.00978.4 | 0.00214.1 |
Answer telephones to provide information and receive orders.41-2021 | 0.00201.7 | 0.00203.9 |
Prepare merchandise for display or for purchase or rental.41-2021 | 0.00151.3 | 0.00418.2 |
Receive orders for services, such as rentals, repairs, dry cleaning, and storage. | —0 | 0.00254.9 |
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 |
|---|---|
Answer telephones to provide information and receive orders.O*NET Task ID 681 | 1.0 |
Prepare rental forms, obtaining customer signature and other information, such as required licenses.O*NET Task ID 684 | 1.0 |
Receive orders for services, such as rentals, repairs, dry cleaning, and storage.O*NET Task ID 689 | 1.0 |
Provide information about rental items, such as availability, operation, or description.O*NET Task ID 691 | 1.0 |
Compute charges for merchandise or services and receive payments.O*NET Task ID 678 | 0.5 |
Recommend and provide advice on a wide variety of products and services.O*NET Task ID 680 | 0.5 |
Greet customers and discuss the type, quality, and quantity of merchandise sought for rental.O*NET Task ID 682 | 0.5 |
Keep records of transactions and of the number of customers entering an establishment.O*NET Task ID 683 | 0.5 |
Explain rental fees, policies, and procedures.O*NET Task ID 687 | 0.5 |
Reserve items for requested times and keep records of items rented.O*NET Task ID 688 | 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