Cientificos de Alimentos
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
0.000
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
0.40
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 39% 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 % |
|---|---|
Study the structure and composition of food or the changes foods undergo in storage and processing.19-1012 | 0.046962.4 |
Study methods to improve aspects of foods, such as chemical composition, flavor, color, texture, nutritional value, and convenience.19-1012 | 0.009512.7 |
Check raw ingredients for maturity or stability for processing and finished products for safety, quality, and nutritional value.19-1012 | 0.00597.8 |
Evaluate food processing and storage operations and assist in the development of quality assurance programs for such operations.19-1012 | 0.00597.8 |
Test new products for flavor, texture, color, nutritional content, and adherence to government and industry standards.19-1012 | 0.00395.2 |
Stay up-to-date on new regulations and current events regarding food science by reviewing scientific literature.19-1012 | 0.00314.2 |
| Not observed on any surface — 7 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. | |
Confer with process engineers, plant operators, flavor experts, and packaging and marketing specialists to resolve problems in product development. | —0 |
Develop new or improved ways of preserving, processing, packaging, storing, and delivering foods, using knowledge of chemistry, microbiology, and other sciences. | —0 |
Develop food standards and production specifications, safety and sanitary regulations, and waste management and water supply specifications. | —0 |
Demonstrate products to clients. | —0 |
Inspect food processing areas to ensure compliance with government regulations and standards for sanitation, safety, quality, and waste management standards. | —0 |
Search for substitutes for harmful or undesirable additives, such as nitrites. | —0 |
Develop new food items for production, based on consumer feedback. | —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 |
|---|---|
Test new products for flavor, texture, color, nutritional content, and adherence to government and industry standards.O*NET Task ID 7485 | 0.5 |
Check raw ingredients for maturity or stability for processing, and finished products for safety, quality, and nutritional value.O*NET Task ID 7486 | 0.5 |
Confer with process engineers, plant operators, flavor experts, and packaging and marketing specialists to resolve problems in product development.O*NET Task ID 7487 | 0.5 |
Evaluate food processing and storage operations and assist in the development of quality assurance programs for such operations.O*NET Task ID 7488 | 0.5 |
Develop new or improved ways of preserving, processing, packaging, storing, and delivering foods, using knowledge of chemistry, microbiology, and other sciences.O*NET Task ID 7491 | 0.5 |
Develop food standards and production specifications, safety and sanitary regulations, and waste management and water supply specifications.O*NET Task ID 7492 | 0.5 |
Seek substitutes for harmful or undesirable additives, such as nitrites.O*NET Task ID 7495 | 0.5 |
Develop new food items for production, based on consumer feedback.O*NET Task ID 18611 | 0.5 |
Stay up to date on new regulations and current events regarding food science by reviewing scientific literature.O*NET Task ID 18612 | 0.5 |
Study methods to improve aspects of foods, such as chemical composition, flavor, color, texture, nutritional value, and convenience.O*NET Task ID 7489 | 0.0 |
Study the structure and composition of food or the changes foods undergo in storage and processing.O*NET Task ID 7490 | 0.0 |
Demonstrate products to clients.O*NET Task ID 7493 | 0.0 |
Inspect food processing areas to ensure compliance with government regulations and standards for sanitation, safety, quality, and waste management.O*NET Task ID 7494 | 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