Epidemiólogos
Ciencias de la Vida, Físicas y SocialesExposición 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
0.40
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 39% 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 % |
|---|---|
Consult with and advise physicians, educators, researchers, government health officials and others regarding medical applications of sciences, such as physics, biology, and chemistry.19-1041 | 0.027042.8 |
Teach principles of medicine and medical and laboratory procedures to physicians, residents, students, and technicians.19-1041 | 0.016426.0 |
Standardize drug dosages, methods of immunization, and procedures for manufacture of drugs and medicinal compounds.19-1041 | 0.00639.9 |
Communicate research findings on various types of diseases to health practitioners, policy makers, and the public.19-1041 | 0.00639.9 |
Educate healthcare workers, patients, and the public about infectious and communicable diseases, including disease transmission and prevention.19-1041 | 0.00518.1 |
Provide expertise in the design, management and evaluation of study protocols and health status questionnaires, sample selection and analysis.19-1041 | 0.00213.3 |
| 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. | |
Oversee public health programs, including statistical analysis, health care planning, surveillance systems, and public health improvement. | —0 |
Investigate diseases or parasites to determine cause and risk factors, progress, life cycle, or mode of transmission. | —0 |
Plan and direct studies to investigate human or animal disease, preventive methods, and treatments for disease. | —0 |
Plan, administer and evaluate health safety standards and programs to improve public health, conferring with health department, industry personnel, physicians and others. | —0 |
Conduct research to develop methodologies, instrumentation and procedures for medical application, analyzing data and presenting findings. | —0 |
Supervise professional, technical and clerical personnel. | —0 |
Identify and analyze public health issues related to foodborne parasitic diseases and their impact on public policies or scientific studies or surveys. | —0 |
Monitor and report incidents of infectious diseases to local and state health agencies. | —0 |
Prepare and analyze samples to study effects of drugs, gases, pesticides, or microorganisms on cell structure and tissue. | —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 |
|---|---|
Oversee public health programs, including statistical analysis, health care planning, surveillance systems, and public health improvement.O*NET Task ID 5421 | 0.5 |
Investigate diseases or parasites to determine cause and risk factors, progress, life cycle, or mode of transmission.O*NET Task ID 5422 | 0.5 |
Plan and direct studies to investigate human or animal disease, preventive methods, and treatments for disease.O*NET Task ID 5423 | 0.5 |
Plan, administer and evaluate health safety standards and programs to improve public health, conferring with health department, industry personnel, physicians, and others.O*NET Task ID 5424 | 0.5 |
Provide expertise in the design, management and evaluation of study protocols and health status questionnaires, sample selection, and analysis.O*NET Task ID 5425 | 0.5 |
Conduct research to develop methodologies, instrumentation, and procedures for medical application, analyzing data and presenting findings.O*NET Task ID 5426 | 0.5 |
Consult with and advise physicians, educators, researchers, government health officials and others regarding medical applications of sciences, such as physics, biology, and chemistry.O*NET Task ID 5427 | 0.5 |
Identify and analyze public health issues related to foodborne parasitic diseases and their impact on public policies, scientific studies, or surveys.O*NET Task ID 5429 | 0.5 |
Teach principles of medicine and medical and laboratory procedures to physicians, residents, students, and technicians.O*NET Task ID 5430 | 0.5 |
Standardize drug dosages, methods of immunization, and procedures for manufacture of drugs and medicinal compounds.O*NET Task ID 5431 | 0.5 |
Supervise professional, technical, and clerical personnel.O*NET Task ID 5428 | 0.0 |
Prepare and analyze samples to study effects of drugs, gases, pesticides, or microorganisms on cell structure and tissue.O*NET Task ID 5432 | 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