Maquinistas de Locomotora
Transporte y Movimiento de MaterialesExposición a la IA
- Fuente de datos: BLSPublicado: 2026-08
Moderado· 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
0.20
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 86% 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 % |
|---|---|
Prepare reports regarding any problems encountered, such as accidents, signaling problems, unscheduled stops, or delays.53-4011 | 0.0037100.0 |
| Not observed on any surface — 14 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. | |
Monitor gauges or meters that measure speed, amperage, battery charge, or air pressure in brakelines or in main reservoirs. | —0 |
Observe tracks to detect obstructions. | —0 |
Interpret train orders, signals, or railroad rules and regulations that govern the operation of locomotives. | —0 |
Receive starting signals from conductors and use controls such as throttles or air brakes to drive electric, diesel-electric, steam, or gas turbine-electric locomotives. | —0 |
Confer with conductors or traffic control center personnel via radiophones to issue or receive information concerning stops, delays, or oncoming trains. | —0 |
Operate locomotives to transport freight or passengers between stations or to assemble or disassemble trains within rail yards. | —0 |
Respond to emergency conditions or breakdowns, following applicable safety procedures and rules. | —0 |
Check to ensure that brake examination tests are conducted at shunting stations. | —0 |
Call out train signals to assistants to verify meanings. | —0 |
Inspect locomotives to verify adequate fuel, sand, water, or other supplies before each run or to check for mechanical problems. | —0 |
Check to ensure that documentation, such as procedure manuals or logbooks, are in the driver's cab and available for staff use. | —0 |
Inspect locomotives after runs to detect damaged or defective equipment. | —0 |
Drive diesel-electric rail-detector cars to transport rail-flaw-detecting machines over tracks. | —0 |
Monitor train loading procedures to ensure that freight or rolling stock are loaded or unloaded without damage. | —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 |
|---|---|
Interpret train orders, signals, or railroad rules and regulations that govern the operation of locomotives.O*NET Task ID 12752 | 1.0 |
Confer with conductors or traffic control center personnel via radiophones to issue or receive information concerning stops, delays, or oncoming trains.O*NET Task ID 12754 | 1.0 |
Prepare reports regarding any problems encountered, such as accidents, signaling problems, unscheduled stops, or delays.O*NET Task ID 12760 | 1.0 |
Observe tracks to detect obstructions.O*NET Task ID 12751 | 0.5 |
Inspect locomotives after runs to detect damaged or defective equipment.O*NET Task ID 12762 | 0.5 |
Monitor gauges or meters that measure speed, amperage, battery charge, or air pressure in brake lines or in main reservoirs.O*NET Task ID 12750 | 0.0 |
Receive starting signals from conductors and use controls such as throttles or air brakes to drive electric, diesel-electric, steam, or gas turbine-electric locomotives.O*NET Task ID 12753 | 0.0 |
Operate locomotives to transport freight or passengers between stations or to assemble or disassemble trains within rail yards.O*NET Task ID 12755 | 0.0 |
Respond to emergency conditions or breakdowns, following applicable safety procedures and rules.O*NET Task ID 12756 | 0.0 |
Check to ensure that brake examination tests are conducted at shunting stations.O*NET Task ID 12757 | 0.0 |
Call out train signals to assistants to verify meanings.O*NET Task ID 12758 | 0.0 |
Inspect locomotives to verify adequate fuel, sand, water, or other supplies before each run or to check for mechanical problems.O*NET Task ID 12759 | 0.0 |
Check to ensure that documentation, such as procedure manuals or logbooks, are in the driver's cab and available for staff use.O*NET Task ID 12761 | 0.0 |
Drive diesel-electric rail-detector cars to transport rail-flaw-detecting machines over tracks.O*NET Task ID 12763 | 0.0 |
Monitor train loading procedures to ensure that freight or rolling stock are loaded or unloaded without damage.O*NET Task ID 12764 | 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