Consejeros de Rehabilitacion
SaludExposición a la IA
- Fuente de datos: BLSPublicado: 2026-08
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
0.000
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
0.28
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 73% 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 16 tareas ocultas| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Analyze information from interviews, educational and medical records, consultation with other professionals, and diagnostic evaluations to assess clients' abilities, needs, and eligibility for services.21-1015 | 0.00000.0 | 0.1200100.0 |
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 |
|---|---|
Prepare and maintain records and case files, including documentation, such as clients' personal and eligibility information, services provided, narratives of client contacts, or relevant correspondence.O*NET Task ID 9202 | 1.0 |
Monitor and record clients' progress to ensure that goals and objectives are met.O*NET Task ID 9200 | 0.5 |
Arrange for physical, mental, academic, vocational, and other evaluations to obtain information for assessing clients' needs and developing rehabilitation plans.O*NET Task ID 9203 | 0.5 |
Analyze information from interviews, educational and medical records, consultation with other professionals, and diagnostic evaluations to assess clients' abilities, needs, and eligibility for services.O*NET Task ID 9204 | 0.5 |
Develop rehabilitation plans that fit clients' aptitudes, education levels, physical abilities, and career goals.O*NET Task ID 9205 | 0.5 |
Locate barriers to client employment, such as inaccessible work sites, inflexible schedules, or transportation problems, and work with clients to develop strategies for overcoming these barriers.O*NET Task ID 9208 | 0.5 |
Confer with physicians, psychologists, occupational therapists, and other professionals to develop and implement client rehabilitation programs.O*NET Task ID 9210 | 0.5 |
Develop diagnostic procedures to determine clients' needs.O*NET Task ID 9211 | 0.5 |
Participate in job development and placement programs, contacting prospective employers, placing clients in jobs, and evaluating the success of placements.O*NET Task ID 9212 | 0.5 |
Collaborate with community agencies to establish facilities and programs for persons with disabilities.O*NET Task ID 9214 | 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