Empleados de Pedidos
Oficina y Apoyo AdministrativoExposición 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
0.075
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: ILOPublicado: 2025
0.63
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 2% alcanza o supera este valor.
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 12 tareas ocultas| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Recommend merchandise or services that will meet customers' needs.43-4151 | 0.010361.3 | 0.012726.3 |
Prepare invoices, shipping documents, and contracts.43-4151 | 0.003822.6 | 0.005210.9 |
Receive and respond to customer complaints.43-4151 | 0.002716.1 | 0.010421.6 |
Inform customers by mail or telephone of order information, such as unit prices, shipping dates, and any anticipated delays. | —0 | 0.006413.3 |
Verify customer and order information for correctness, checking it against previously obtained information as necessary. | —0 | 0.006112.6 |
Compute total charges for merchandise or services and shipping charges. | —0 | 0.00377.7 |
Obtain customers' names, addresses, and billing information, product numbers, and specifications of items to be purchased, and enter this information on order forms. | —0 | 0.00367.5 |
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 |
|---|---|
Obtain customers' names, addresses, and billing information, product numbers, and specifications of items to be purchased, and enter this information on order forms.O*NET Task ID 2668 | 1.0 |
Prepare invoices, shipping documents, and contracts.O*NET Task ID 2669 | 1.0 |
Inform customers by mail or telephone of order information, such as unit prices, shipping dates, and any anticipated delays.O*NET Task ID 2670 | 1.0 |
Verify customer and order information for correctness, checking it against previously obtained information as necessary.O*NET Task ID 2672 | 1.0 |
Review orders for completeness according to reporting procedures and forward incomplete orders for further processing.O*NET Task ID 2675 | 1.0 |
File copies of orders received, or post orders on records.O*NET Task ID 2677 | 1.0 |
Compute total charges for merchandise or services and shipping charges.O*NET Task ID 2678 | 1.0 |
Recommend type of packing or labeling needed on order.O*NET Task ID 2685 | 1.0 |
Receive and respond to customer complaints.O*NET Task ID 2671 | 0.5 |
Direct specified departments or units to prepare and ship orders to designated locations.O*NET Task ID 2673 | 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