Ingenieros Navales y Arquitectos Navales
Transporte y Movimiento de MaterialesExposición 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
0.036
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
0.32
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 64% 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 20 tareas ocultas| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Prepare plans, estimates, design and construction schedules, and contract specifications, including any special provisions.17-2121 | 0.005737.5 | —0 |
Analyze data to determine feasibility of product proposals.17-2121 | 0.005636.8 | 0.0031100.0 |
Confer with research personnel to clarify or resolve problems and to develop or modify designs.17-2121 | 0.003925.7 | —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 |
|---|---|
Maintain records of engineering department activities, including expense records and details of equipment maintenance and repairs.O*NET Task ID 21902 | 1.0 |
Prepare technical reports for use by engineering, management, or sales personnel.O*NET Task ID 21905 | 1.0 |
Confer with research personnel to clarify or resolve problems and to develop or modify designs.O*NET Task ID 21909 | 1.0 |
Design complete hull and superstructure according to specifications and test data, in conformity with standards of safety, efficiency, and economy.O*NET Task ID 21887 | 0.5 |
Study design proposals and specifications to establish basic characteristics of craft, such as size, weight, speed, propulsion, displacement, and draft.O*NET Task ID 21889 | 0.5 |
Perform monitoring activities to ensure that ships comply with international regulations and standards for life-saving equipment and pollution preventatives.O*NET Task ID 21890 | 0.5 |
Oversee construction and testing of prototype in model basin and develop sectional and waterline curves of hull to establish center of gravity, ideal hull form, and buoyancy and stability data.O*NET Task ID 21891 | 0.5 |
Evaluate performance of craft during dock and sea trials to determine design changes and conformance with national and international standards.O*NET Task ID 21892 | 0.5 |
Prepare plans, estimates, design and construction schedules, and contract specifications, including any special provisions.O*NET Task ID 21893 | 0.5 |
Design layout of craft interior, including cargo space, passenger compartments, ladder wells, and elevators.O*NET Task ID 21895 | 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