Transportation and Material Moving · United States (national)
Parking Attendants
How exposed this work is to automation, shown as ranges with the reasoning and sources.
The short version: this role is moderately exposed to automation, and a near-term shift looks unlikely.
It is a sourced range, not a verdict, and the detail is below.
Built on O*NET tasks, BLS pay and projections, and peer-reviewed AI-exposure research. Sources shown.
Data snapshot SNAPSHOT-2026-11-06. How it works
AI / softwarerange 0.5 to 24.5
Physical / roboticsrange 29.4 to 53.4
When the change is likely
Largely unaffectedlocal demand growing
What to do about it
Use AI to outpace AI.
Strategies to protect your livelihood, most important first.
1
Stay sharp; urgency is low
This role looks durable. Keep your skills current and watch for shifts in your field.
2
Pivot toward Shuttle Drivers and Chauffeurs
It is skill-adjacent and less exposed (17.3 vs 41). A lateral move now beats a forced one later.
3
Build a financial buffer
Keep 6 to 12 months of expenses and diversify your income, so a disruption is a setback rather than a catastrophe.
4
Add a recognised credential
A certification or license raises the bar against automation and signals value in a tightening market.
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Which of my tasks are exposed
Take numbered tags from customers, locate vehicles, and deliver vehicles, or provide customers with instructions for locating vehicles.
41.4
Inspect vehicles to detect any damage.
41.4
Greet customers and open their car doors.
41.4
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.
41.4
Perform cash handling tasks, such as making change, balancing and recording cash drawer, or distributing tips.
41.4
Explain and calculate parking charges, collect fees from customers, and respond to customer complaints.
50.0
Park and retrieve automobiles for customers in parking lots, storage garages, or new car lots.
41.4
Provide customer assistance and information, such as giving directions or handling wheelchairs.
41.4
Longer, orange bars are more automatable; short green bars are resistant.
What is driving my result
lowers risk
raises risk
Task: Explain and calculate parking charges, collect fees from customers, and respond to customer complaints.
Task: Take numbered tags from customers, locate vehicles, and deliver vehicles, or provide customers with instructions for locating vehicles.
Local demand is growing
Lower-risk adjacent roles
Shuttle Drivers and Chauffeurs
17.3
Taxi Drivers
25.0
Passenger Attendants
25.2
Baggage Porters and Bellhops
35.5
A full, ranked mitigation plan is part of the paid tiers.
How this score is calculated
Map Parking Attendants to its standard O*NET task list (8 core tasks).
Score each task for AI/software exposure (Eloundou et al. 2023) and physical/robotics exposure (an O*NET work-context proxy), each 0 to 100.
The two axis scores are the task averages: AI 12.5, robotics 41.4.
The timeline comes from the higher axis (41.4), shifted for local demand (growing), and seniority. It is read against your remaining working years.
Ranges are about ±12 points. A backtest against real BLS employment change shows the risk ranking holds in aggregate, but individual outcomes are predicted weakly, so results are ranges, never a flat verdict.
Sources: O*NET, Eloundou et al. (2023), GPTs are GPTs, O*NET Work Context, BLS CPI-U, BLS OEWS.
Snapshot SNAPSHOT-2026-11-06. Full method and backtest on How it works.