Fisicos
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
0.273
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
0.38
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 48% 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 % |
|---|---|---|
Design computer simulations to model physical data so that it can be better understood.19-2012 | 0.012843.5 | 0.005319.9 |
Perform complex calculations as part of the analysis and evaluation of data, using computers.19-2012 | 0.012041.0 | 0.021380.1 |
Observe the structure and properties of matter, and the transformation and propagation of energy, using equipment such as masers, lasers, and telescopes to explore and identify the basic principles governing these phenomena.19-2012 | 0.004615.5 | —0 |
| Not observed on any surface — 12 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. | ||
Describe and express observations and conclusions in mathematical terms. | —0 | —0 |
Analyze data from research conducted to detect and measure physical phenomena. | —0 | —0 |
Report experimental results by writing papers for scientific journals or by presenting information at scientific conferences. | —0 | —0 |
Collaborate with other scientists in the design, development, and testing of experimental, industrial, or medical equipment, instrumentation, and procedures. | —0 | —0 |
Direct testing and monitoring of contamination of radioactive equipment, and recording of personnel and plant area radiation exposure data. | —0 | —0 |
Develop theories and laws on the basis of observation and experiments, and apply these theories and laws to problems in areas such as nuclear energy, optics, and aerospace technology. | —0 | —0 |
Teach physics to students. | —0 | —0 |
Develop manufacturing, assembly, and fabrication processes of lasers, masers, infrared, and other light-emitting and light-sensitive devices. | —0 | —0 |
Conduct application evaluations and analyze results to determine commercial, industrial, scientific, medical, military, or other uses for electro-optical devices. | —0 | —0 |
Develop standards of permissible concentrations of radioisotopes in liquids and gases. | —0 | —0 |
Conduct research pertaining to potential environmental impacts of atomic energy-related industrial development to determine licensing qualifications. | —0 | —0 |
Advise authorities of procedures to be followed in radiation incidents or hazards, and assist in civil defense planning. | —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 |
|---|---|
Perform complex calculations as part of the analysis and evaluation of data, using computers.O*NET Task ID 10903 | 1.0 |
Describe and express observations and conclusions in mathematical terms.O*NET Task ID 10904 | 1.0 |
Report experimental results by writing papers for scientific journals or by presenting information at scientific conferences.O*NET Task ID 10906 | 1.0 |
Design computer simulations to model physical data so that it can be better understood.O*NET Task ID 10907 | 1.0 |
Develop theories and laws on the basis of observation and experiments, and apply these theories and laws to problems in areas such as nuclear energy, optics, and aerospace technology.O*NET Task ID 10911 | 1.0 |
Develop manufacturing, assembly, and fabrication processes of lasers, masers, infrared, and other light-emitting and light-sensitive devices.O*NET Task ID 10913 | 1.0 |
Write research proposals to receive funding.O*NET Task ID 21174 | 1.0 |
Analyze data from research conducted to detect and measure physical phenomena.O*NET Task ID 10905 | 0.5 |
Collaborate with other scientists in the design, development, and testing of experimental, industrial, or medical equipment, instrumentation, and procedures.O*NET Task ID 10908 | 0.5 |
Teach physics to students.O*NET Task ID 10912 | 0.5 |
Observe the structure and properties of matter, and the transformation and propagation of energy, using equipment such as masers, lasers, and telescopes, to explore and identify the basic principles governing these phenomena.O*NET Task ID 10910 | 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