Ingenieros de Automatizacion de Almacenes
Construcción, Mantenimiento y ReparaciónExposición 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
0.037
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
0.37
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 53% 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 37 tareas ocultas| Task | Claude.aiRaw / share % |
|---|---|
Investigate theoretical or conceptual issues, such as the human design considerations of lunar landers or habitats.17-2112 | 0.050955.2 |
Analyze complex systems to determine potential for further development, production, interoperability, compatibility, or usefulness in a particular area, such as aviation.17-2112 | 0.011212.1 |
Recommend methods for improving utilization of personnel, material, and utilities.17-2112 | 0.00798.6 |
Operate testing equipment, such as heat stress meters, octave band analyzers, motion analysis equipment, inclinometers, light meters, velometers, sling psychrometers, or colormetric detection tubes.17-2112 | 0.00636.8 |
Perform statistical analyses, such as social network pattern analysis, network modeling, discrete event simulation, agent-based modeling, statistical natural language processing, computational sociology, mathematical optimization, or systems dynamics.17-2112 | 0.00545.9 |
Apply modeling or quantitative analysis to forecast events, such as human decisions or behaviors, the structure or processes of organizations, or the attitudes or actions of human groups.17-2112 | 0.00333.6 |
Confer with clients, vendors, staff, and management personnel regarding purchases, product and production specifications, manufacturing capabilities, or project status.17-2112 | 0.00283.0 |
Establish system operating or training requirements to ensure optimized human-machine interfaces.17-2112 | 0.00242.6 |
Provide human factors technical expertise on topics such as advanced user-interface technology development or the role of human users in automated or autonomous sub-systems in advanced vehicle systems.17-2112 | 0.00222.3 |
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 |
|---|---|
Complete production reports, purchase orders, and material, tool, and equipment lists.O*NET Task ID 1408 | 1.0 |
Analyze statistical data and product specifications to determine standards and establish quality and reliability objectives of finished product.O*NET Task ID 1391 | 0.5 |
Develop manufacturing methods, labor utilization standards, and cost analysis systems to promote efficient staff and facility utilization.O*NET Task ID 1392 | 0.5 |
Recommend methods for improving utilization of personnel, material, and utilities.O*NET Task ID 1393 | 0.5 |
Plan and establish sequence of operations to fabricate and assemble parts or products and to promote efficient utilization.O*NET Task ID 1394 | 0.5 |
Apply statistical methods and perform mathematical calculations to determine manufacturing processes, staff requirements, and production standards.O*NET Task ID 1395 | 0.5 |
Draft and design layout of equipment, materials, and workspace to illustrate maximum efficiency using drafting tools and computer.O*NET Task ID 1398 | 0.5 |
Review production schedules, engineering specifications, orders, and related information to obtain knowledge of manufacturing methods, procedures, and activities.O*NET Task ID 1399 | 0.5 |
Communicate with management and user personnel to develop production and design standards.O*NET Task ID 1400 | 0.5 |
Formulate sampling procedures and designs and develop forms and instructions for recording, evaluating, and reporting quality and reliability data.O*NET Task ID 1402 | 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