Asistentes de Estacionamiento
Transporte y Movimiento de MaterialesExposición a la IA
- Fuente de datos: BLSPublicado: 2026-08
Moderado· 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
0.29
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 69% 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
| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Provide customer assistance and information, such as giving directions or handling wheelchairs.53-6021 | 0.00000.0 | 0.00000.0 |
| Not observed on any surface — 14 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. | ||
Take numbered tags from customers, locate vehicles, and deliver vehicles, or provide customers with instructions for locating vehicles. | —0 | —0 |
Keep parking areas clean and orderly to ensure that space usage is maximized. | —0 | —0 |
Park and retrieve automobiles for customers in parking lots, storage garages, or new car lots. | —0 | —0 |
Greet customers and open their car doors. | —0 | —0 |
Inspect vehicles to detect any damage. | —0 | —0 |
Issue ticket stubs or place numbered tags on windshields, log tags or attach tag to customers' keys, and give customers matching tags for locating parked vehicles. | —0 | —0 |
Perform cash handling tasks, such as making change, balancing and recording cash drawer, or distributing tips. | —0 | —0 |
Explain and calculate parking charges, collect fees from customers, and respond to customer complaints. | —0 | —0 |
Call emergency responders or the proper authorities and provide motorist assistance, such as giving directions or helping jump start a stalled vehicle. | —0 | —0 |
Direct motorists to parking areas or parking spaces, using hand signals or flashlights as necessary. | —0 | —0 |
Patrol parking areas to prevent vehicle damage and vehicle or property thefts. | —0 | —0 |
Lift, position, and remove barricades to open or close parking areas. | —0 | —0 |
Escort customers to their vehicles to ensure their safety. | —0 | —0 |
Perform maintenance on cars in storage to protect tires, batteries, or exteriors from deterioration. | —0 | —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 |
|---|---|
Perform personnel activities, such as supervising or scheduling employees.O*NET Task ID 20840 | 1.0 |
Inspect vehicles to detect any damage.O*NET Task ID 3196 | 0.5 |
Explain and calculate parking charges, collect fees from customers, and respond to customer complaints.O*NET Task ID 20837 | 0.5 |
Take numbered tags from customers, locate vehicles, and deliver vehicles, or provide customers with instructions for locating vehicles.O*NET Task ID 3187 | 0.0 |
Keep parking areas clean and orderly to ensure that space usage is maximized.O*NET Task ID 3188 | 0.0 |
Direct motorists to parking areas or parking spaces, using hand signals or flashlights as necessary.O*NET Task ID 3189 | 0.0 |
Patrol parking areas to prevent vehicle damage and vehicle or property thefts.O*NET Task ID 3190 | 0.0 |
Park and retrieve automobiles for customers in parking lots, storage garages, or new car lots.O*NET Task ID 3191 | 0.0 |
Greet customers and open their car doors.O*NET Task ID 3192 | 0.0 |
Lift, position, and remove barricades to open or close parking areas.O*NET Task ID 3195 | 0.0 |
Review motorists' identification before allowing them to enter parking facilities.O*NET Task ID 3197 | 0.0 |
Escort customers to their vehicles to ensure their safety.O*NET Task ID 3198 | 0.0 |
Service vehicles with gas, oil, and water.O*NET Task ID 3199 | 0.0 |
Perform maintenance on cars in storage to protect tires, batteries, or exteriors from deterioration.O*NET Task ID 3200 | 0.0 |
Issue ticket stubs or place numbered tags on windshields, log tags or attach tag to customers' keys, and give customers matching tags for locating parked vehicles.O*NET Task ID 20835 | 0.0 |
Perform cash handling tasks, such as making change, balancing and recording cash drawer, or distributing tips.O*NET Task ID 20836 | 0.0 |
Provide customer assistance and information, such as giving directions or handling wheelchairs.O*NET Task ID 20838 | 0.0 |
Call emergency responders or the proper authorities and provide motorist assistance, such as giving directions or helping jump start a stalled vehicle.O*NET Task ID 20839 | 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