Entrevistadores de Encuestas
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
0.385
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
0.55
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 12% 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 % | APIRaw / share % |
|---|---|---|
Compile, record, and code results or data from interview or survey, using computer or specified form.43-4111 | 0.026254.5 | 0.373278.1 |
Identify and report problems in obtaining valid data.43-4111 | 0.013628.3 | 0.055711.7 |
Ask questions in accordance with instructions to obtain various specified information, such as person's name, address, age, religious preference, or state of residency.43-4111 | 0.005210.8 | 0.03176.6 |
Collect and analyze data, such as studying old records, tallying the number of outpatients entering each day or week, or participating in federal, state, or local population surveys as a Census Enumerator.43-4111 | 0.00163.3 | 0.01172.5 |
Assist individuals in filling out applications or questionnaires.43-4111 | 0.00153.1 | —0 |
Perform patient services, such as answering the telephone or assisting patients with financial or medical questions. | —0 | 0.00280.6 |
Ensure payment for services by verifying benefits with the person's insurance provider or working out financing options. | —0 | 0.00260.5 |
| Not observed on any surface — 9 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. | ||
Identify and resolve inconsistencies in interviewees' responses by means of appropriate questioning or explanation. | —0 | —0 |
Review data obtained from interview for completeness and accuracy. | —0 | —0 |
Contact individuals to be interviewed at home, place of business, or field location, by telephone, mail, or in person. | —0 | —0 |
Explain survey objectives and procedures to interviewees and interpret survey questions to help interviewees' comprehension. | —0 | —0 |
Meet with supervisor daily to submit completed assignments and discuss progress. | —0 | —0 |
Prepare reports to provide answers in response to specific problems. | —0 | —0 |
Locate and list addresses and households. | —0 | —0 |
Supervise or train other staff members. | —0 | —0 |
Perform office duties, such as telemarketing or customer service inquiries, maintaining staff records, billing patients, or receiving payments. | —0 | —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 |
|---|---|
Ask questions in accordance with instructions to obtain various specified information, such as person's name, address, age, religious preference, or state of residency.O*NET Task ID 2627 | 1.0 |
Identify and resolve inconsistencies in interviewees' responses by means of appropriate questioning or explanation.O*NET Task ID 2628 | 1.0 |
Compile, record, and code results or data from interview or survey, using computer or specified form.O*NET Task ID 2629 | 1.0 |
Review data obtained from interview for completeness and accuracy.O*NET Task ID 2630 | 1.0 |
Assist individuals in filling out applications or questionnaires.O*NET Task ID 2632 | 1.0 |
Identify and report problems in obtaining valid data.O*NET Task ID 2634 | 1.0 |
Explain survey objectives and procedures to interviewees and interpret survey questions to help interviewees' comprehension.O*NET Task ID 2635 | 1.0 |
Prepare reports to provide answers in response to specific problems.O*NET Task ID 2637 | 1.0 |
Ensure payment for services by verifying benefits with the person's insurance provider or working out financing options.O*NET Task ID 2633 | 0.5 |
Perform patient services, such as answering the telephone or assisting patients with financial or medical questions.O*NET Task ID 2636 | 0.5 |
Contact individuals to be interviewed at home, place of business, or field location, by telephone, mail, or in person.O*NET Task ID 2631 | 0.0 |
Meet with supervisor daily to submit completed assignments and discuss progress.O*NET Task ID 2640 | 0.0 |
Supervise or train other staff members.O*NET Task ID 20434 | 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