Investigadores de Encuestas
Ciencias de la Vida, Físicas y SocialesExposición 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
0.432
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
0.56
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 8% 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 % |
|---|---|---|
Conduct research to gather information about survey topics.19-3022 | 0.072243.3 | 0.04804.4 |
Review, classify, and record survey data in preparation for computer analysis.19-3022 | 0.039023.4 | 0.939986.5 |
Prepare and present summaries and analyses of survey data, including tables, graphs, and fact sheets that describe survey techniques and results.19-3022 | 0.035221.1 | 0.07396.8 |
Analyze data from surveys, old records, or case studies, using statistical software.19-3022 | 0.00704.2 | 0.01471.4 |
Conduct surveys and collect data, using methods such as interviews, questionnaires, focus groups, market analysis surveys, public opinion polls, literature reviews, and file reviews.19-3022 | 0.00533.2 | 0.01020.9 |
Consult with clients to identify survey needs and specific requirements, such as special samples.19-3022 | 0.00301.8 | —0 |
Determine and specify details of survey projects, including sources of information, procedures to be used, and the design of survey instruments and materials.19-3022 | 0.00271.6 | —0 |
Collaborate with other researchers in the planning, implementation, and evaluation of surveys.19-3022 | 0.00231.4 | —0 |
| Not observed on any surface — 7 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. | ||
Direct and review the work of staff members, including survey support staff and interviewers who gather survey data. | —0 | —0 |
Monitor and evaluate survey progress and performance, using sample disposition reports and response rate calculations. | —0 | —0 |
Produce documentation of the questionnaire development process, data collection methods, sampling designs, and decisions related to sample statistical weighting. | —0 | —0 |
Support, plan, and coordinate operations for single or multiple surveys. | —0 | —0 |
Direct updates and changes in survey implementation and methods. | —0 | —0 |
Hire and train recruiters and data collectors. | —0 | —0 |
Write training manuals to be used by survey interviewers. | —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 |
|---|---|
Review, classify, and record survey data in preparation for computer analysis.O*NET Task ID 7548 | 1.0 |
Produce documentation of the questionnaire development process, data collection methods, sampling designs, and decisions related to sample statistical weighting.O*NET Task ID 7554 | 1.0 |
Write training manuals to be used by survey interviewers.O*NET Task ID 7559 | 1.0 |
Write proposals to win new projects.O*NET Task ID 21107 | 1.0 |
Prepare and present summaries and analyses of survey data, including tables, graphs, and fact sheets that describe survey techniques and results.O*NET Task ID 7545 | 0.5 |
Consult with clients to identify survey needs and specific requirements, such as special samples.O*NET Task ID 7546 | 0.5 |
Analyze data from surveys, old records, or case studies, using statistical software.O*NET Task ID 7547 | 0.5 |
Conduct research to gather information about survey topics.O*NET Task ID 7549 | 0.5 |
Conduct surveys and collect data, using methods such as interviews, questionnaires, focus groups, market analysis surveys, public opinion polls, literature reviews, and file reviews.O*NET Task ID 7550 | 0.5 |
Collaborate with other researchers in the planning, implementation, and evaluation of surveys.O*NET Task ID 7551 | 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