Operadores de Entrada de Datos
Oficina y Apoyo AdministrativoExposición a la IA
- Fuente de datos: BLSPublicado: '26.08
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: '26.03
0.671
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: '25
0.70
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 0% 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
Solo tareas expuestas| Task | Claude.aiRaw / share % |
|---|---|
Compile, sort and verify the accuracy of data before it is entered.43-9021 | 0.013865.0 |
Read source documents such as canceled checks, sales reports, or bills, and enter data in specific data fields or onto tapes or disks for subsequent entry, using keyboards or scanners.43-9021 | 0.004219.6 |
Resolve garbled or indecipherable messages, using cryptographic procedures and equipment.43-9021 | 0.003315.3 |
| Not observed on any surface — 6 task(s) — These tasks have no row in the source for this release. The 0 in the share row is a display-stage composition ratio; absence is what the — in the raw row states. | |
Compare data with source documents, or re-enter data in verification format to detect errors. | —0 |
Store completed documents in appropriate locations. | —0 |
Locate and correct data entry errors, or report them to supervisors. | —0 |
Maintain logs of activities and completed work. | —0 |
Select materials needed to complete work assignments. | —0 |
Load machines with required input or output media such as paper, cards, disks, tape or Braille media. | —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 |
|---|---|
Compile, sort, and verify the accuracy of data before it is entered.O*NET Task ID 11402 | 1.0 |
Compare data with source documents, or re-enter data in verification format to detect errors.O*NET Task ID 11403 | 1.0 |
Store completed documents in appropriate locations.O*NET Task ID 11404 | 1.0 |
Locate and correct data entry errors, or report them to supervisors.O*NET Task ID 11405 | 1.0 |
Maintain logs of activities and completed work.O*NET Task ID 11406 | 1.0 |
Select materials needed to complete work assignments.O*NET Task ID 11407 | 1.0 |
Resolve garbled or indecipherable messages, using cryptographic procedures and equipment.O*NET Task ID 11409 | 1.0 |
Read source documents such as canceled checks, sales reports, or bills, and enter data in specific data fields or onto tapes or disks for subsequent entry, using keyboards or scanners.O*NET Task ID 11401 | 0.5 |
Load machines with required input or output media, such as paper, cards, disks, tape, or Braille media.O*NET Task ID 11408 | 0.0 |
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
Occupation information
Cambios recientes que afectan a esta ocupación
may 2026: Anthropic observed-exposure score: high (routine tasks absorbed). High observed exposure; routine tasks already absorbed by LLMs.
[Fuente: Anthropic Economic Research (Massenkoff & McCrory, 2026)]abr 2026: NBER survey of 6,000 executives: 69% use AI but 90% report zero employment impact. Executives predict -0.7% employment decline over next 3 years.
[Fuente: NBER Working Paper 34836]abr 2026: Among highest automation exposure occupations. AI topped all job cut reasons in March 2026 with 15,341 positions (25% of total). Q1 cumulative AI cuts: 27,645.
[Fuente: Challenger March 2026]