Tecnicos Geologicos
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
0.229
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
0.26
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 76% 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 % |
|---|---|
Compile, log, or record testing or operational data for review and further analysis.19-4041 | 0.017847.5 |
Assemble, maintain, or distribute information for library or record systems.19-4041 | 0.007219.2 |
Assemble, operate, or maintain field or laboratory testing, measuring, or mechanical equipment.19-4041 | 0.00349.1 |
Test and analyze samples to determine their content and characteristics, using laboratory apparatus or testing equipment.19-4041 | 0.00308.0 |
Create photographic recordings of information, using equipment.19-4041 | 0.00266.9 |
Prepare notes, sketches, geological maps, or cross sections.19-4041 | 0.00174.7 |
Interview individuals, and research public databases in order to obtain information.19-4041 | 0.00174.7 |
| Not observed on any surface — 31 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. | |
Prepare notes, sketches, geological maps, or cross-sections. | —0 |
Read and study reports in order to compile information and data for geological and geophysical prospecting. | —0 |
Operate or adjust equipment or apparatus used to obtain geological data. | —0 |
Plan and direct activities of workers who operate equipment to collect data. | —0 |
Set up or direct set-up of instruments used to collect geological data. | —0 |
Record readings in order to compile data used in prospecting for oil or gas. | —0 |
Supervise oil, water, or gas well-drilling activities. | —0 |
Collect samples or cuttings, using equipment or hand tools. | —0 |
Measure geological characteristics used in prospecting for oil or gas, using measuring instruments. | —0 |
Evaluate and interpret core samples and cuttings, and other geological data used in prospecting for oil or gas. | —0 |
Diagnose or repair malfunctioning instruments or equipment, using manufacturers' manuals and hand tools. | —0 |
Prepare and attach packing instructions to shipping containers. | —0 |
Develop and design packing materials and handling procedures for shipping of objects. | —0 |
Apply new technologies, such as improved seismic imaging techniques, to locate untapped oil or natural gas deposits. | —0 |
Collect data on underground areas, such as reservoirs, that could be used in carbon sequestration operations. | —0 |
Collect geological data from potential geothermal energy plant sites. | —0 |
Compile data used to address environmental issues, such as the suitability of potential landfill sites. | —0 |
Conduct geophysical surveys of potential sites for wind farms or solar installations to determine their suitability. | —0 |
Collect or prepare solid or fluid samples for analysis. | —0 |
Adjust or repair testing, electrical, or mechanical equipment or devices. | —0 |
Participate in geological, geophysical, geochemical, hydrographic, or oceanographic surveys, prospecting field trips, exploratory drilling, well logging, or underground mine survey programs. | —0 |
Plot information from aerial photographs, well logs, section descriptions, or other databases. | —0 |
Prepare or review professional, technical, or other reports regarding sampling, testing, or recommendations of data analysis. | —0 |
Supervise well exploration, drilling activities, or well completions. | —0 |
Inspect engines for wear or defective parts, using equipment or measuring devices. | —0 |
Assess the environmental impacts of development projects on subsurface materials. | —0 |
Collaborate with hydrogeologists to evaluate groundwater or well circulation. | —0 |
Prepare, transcribe, or analyze seismic, gravimetric, well log, or other geophysical or survey data. | —0 |
Participate in the evaluation of possible mining locations. | —0 |
Participate in the evaluation of possible geothermal energy plant locations. | —0 |
Test and analyze samples from potential underground carbon sequestration sites. | —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 |
|---|---|
Assemble, maintain, or distribute information for library or record systems.O*NET Task ID 22272 | 1.0 |
Test and analyze samples to determine their content and characteristics, using laboratory apparatus or testing equipment.O*NET Task ID 22262 | 0.5 |
Compile, log, or record testing or operational data for review and further analysis.O*NET Task ID 22264 | 0.5 |
Prepare notes, sketches, geological maps, or cross-sections.O*NET Task ID 22265 | 0.5 |
Prepare or review professional, technical, or other reports regarding sampling, testing, or recommendations of data analysis.O*NET Task ID 22267 | 0.5 |
Read and study reports in order to compile information and data for geological and geophysical prospecting.O*NET Task ID 22269 | 0.5 |
Interview individuals, and research public databases in order to obtain information.O*NET Task ID 22270 | 0.5 |
Plot information from aerial photographs, well logs, section descriptions, or other databases.O*NET Task ID 22271 | 0.5 |
Plan and direct activities of workers who operate equipment to collect data.O*NET Task ID 22274 | 0.5 |
Record readings in order to compile data used in prospecting for oil or gas.O*NET Task ID 22276 | 0.5 |
Collect or prepare solid or fluid samples for analysis.O*NET Task ID 22263 | 0.0 |
Participate in geological, geophysical, geochemical, hydrographic, or oceanographic surveys, prospecting field trips, exploratory drilling, well logging, or underground mine survey programs.O*NET Task ID 22266 | 0.0 |
Adjust or repair testing, electrical, or mechanical equipment or devices.O*NET Task ID 22268 | 0.0 |
Operate or adjust equipment or apparatus used to obtain geological data.O*NET Task ID 22273 | 0.0 |
Set up or direct set-up of instruments used to collect geological data.O*NET Task ID 22275 | 0.0 |
Measure geological characteristics used in prospecting for oil or gas, using measuring instruments.O*NET Task ID 22278 | 0.0 |
Supervise well exploration, drilling activities, or well completions.O*NET Task ID 22282 | 0.0 |
Inspect engines for wear or defective parts, using equipment or measuring devices.O*NET Task ID 22283 | 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