Estrategas de Marketing de Búsqueda
Ventas y MarketingExposición 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
0.648
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
0.55
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 12% 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 5 tareas ocultas| Task | Claude.aiRaw / share % |
|---|---|
Prepare reports of findings, illustrating data graphically and translating complex findings into written text.13-1161 | 0.096433.3 |
Seek and provide information to help companies determine their position in the marketplace.13-1161 | 0.086029.6 |
Collect and analyze data on customer demographics, preferences, needs, and buying habits to identify potential markets and factors affecting product demand.13-1161 | 0.052618.1 |
Measure the effectiveness of marketing, advertising, and communications programs and strategies.13-1161 | 0.02318.0 |
Devise and evaluate methods and procedures for collecting data, such as surveys, opinion polls, or questionnaires, or arrange to obtain existing data.13-1161 | 0.01143.9 |
Gather data on competitors and analyze their prices, sales, and method of marketing and distribution.13-1161 | 0.00873.0 |
Conduct research on consumer opinions and marketing strategies, collaborating with marketing professionals, statisticians, pollsters, and other professionals.13-1161 | 0.00602.1 |
Forecast and track marketing and sales trends, analyzing collected data.13-1161 | 0.00582.0 |
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 |
|---|---|
Identify methods for interfacing Web application technologies with enterprise resource planning or other system software.O*NET Task ID 16176 | 1.0 |
Develop transactional Web applications, using Web programming software and knowledge of programming languages, such as hypertext markup language (HTML) and extensible markup language (XML).O*NET Task ID 16184 | 1.0 |
Coordinate with developers to optimize Web site architecture, server configuration, or page construction for search engine consumption and optimal visibility.O*NET Task ID 20320 | 1.0 |
Create content strategies for digital media.O*NET Task ID 20321 | 1.0 |
Keep abreast of government regulations and emerging Web technology to ensure regulatory compliance by reviewing current literature, talking with colleagues, participating in educational programs, attending meetings or workshops, or participating in professional organizations or conferences.O*NET Task ID 16172 | 0.5 |
Resolve product availability problems in collaboration with customer service staff.O*NET Task ID 16173 | 0.5 |
Implement online customer service processes to ensure positive and consistent user experiences.O*NET Task ID 16174 | 0.5 |
Identify, evaluate, or procure hardware or software for implementing online marketing campaigns.O*NET Task ID 16175 | 0.5 |
Define product requirements, based on market research analysis, in collaboration with user interface design and engineering staff.O*NET Task ID 16177 | 0.5 |
Assist in the evaluation or negotiation of contracts with vendors or online partners.O*NET Task ID 16178 | 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