AI exposure by occupation, O*NET 53-6021.00

Will AI replace Parking Attendants?

Parking Attendants: AI can already handle 1 of 15 tasks; most of the work is hands-on, and the part AI can address mostly needs a frontier-tier model.

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Every task, scored

The 15 tasks O*NET 30.3 lists for Parking Attendants, from most to least exposed. 1 reach 60 or more, the level at which AI already handles a task.

Task AI exposure Evidence Model tier Importance
Explain and calculate parking charges, collect fees from customers, and respond to customer complaints. 80 Estimated Frontier 4.0
Inspect vehicles to detect any damage. 20 Estimated Efficient 4.5
Take numbered tags from customers, locate vehicles, and deliver vehicles, or provide customers with instructions for locating vehicles. 15 Estimated No tier 4.5
Greet customers and open their car doors. 15 Estimated No tier 4.5
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. 15 Estimated No tier 4.4
Perform cash handling tasks, such as making change, balancing and recording cash drawer, or distributing tips. 15 Estimated No tier 4.1
Patrol parking areas to prevent vehicle damage and vehicle or property thefts. 15 Estimated No tier 4.0
Park and retrieve automobiles for customers in parking lots, storage garages, or new car lots. 15 Estimated No tier 4.0
Provide customer assistance and information, such as giving directions or handling wheelchairs. 15 Estimated No tier 4.0
Keep parking areas clean and orderly to ensure that space usage is maximized. 15 Estimated No tier 3.8
Direct motorists to parking areas or parking spaces, using hand signals or flashlights as necessary. 15 Estimated No tier 3.8
Escort customers to their vehicles to ensure their safety. 15 Estimated No tier 3.6
Perform maintenance on cars in storage to protect tires, batteries, or exteriors from deterioration. 15 Estimated No tier 3.4
Call emergency responders or the proper authorities and provide motorist assistance, such as giving directions or helping jump start a stalled vehicle. 15 Estimated No tier 3.3
Lift, position, and remove barricades to open or close parking areas. 8 Estimated No tier 3.3

Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 15 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 15 of 15. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.

The model tier this role needs

A frontier-tier model or lower covers 14% of the role's importance-weighted task work. 14% of the work is something AI can address at some tier, and 86% is hands-on.

Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.

Wages, employment and outlook

US employment
137,880
Median annual wage
$35,150
Middle half of earners
$29,960 to $37,670
Projected change, 2024 to 2034
+3.0%

Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.

Adjacent roles

The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.

Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.

Questions about Parking Attendants and AI

Will AI replace Parking Attendants?

AI already handles 1 of the 15 tasks O*NET lists for this occupation, at a task exposure of 60 or more, and the role's importance-weighted exposure is 19 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears. BLS projects employment to change by +3.0% from 2024 to 2034.

What is the AI exposure of Parking Attendants?

19 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 0 of the 15 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 15 are estimated from each task's O*NET work activity.

Which Parking Attendants tasks can AI already do?

The tasks with the highest exposure are: Explain and calculate parking charges, collect fees from customers, and respond to customer complaints. It is the only task that reach 60 or more.

What AI model tier does this role need?

A frontier-tier model or lower covers 14% of the role's importance-weighted task work, and 86% is hands-on work that no model tier covers. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.

How many people work as Parking Attendants, and what do they earn?

137,880 people in the United States, with a median annual wage of $35,150 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +3.0% from 2024 to 2034.

How to cite

Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.

JobRoute (2026). AI exposure: Parking Attendants. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/parking-attendants

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