As of November 2026,
Parking Attendants has an AI-exposure score of 48/100
(Moderate exposure) on the AI-Safe Careers index. This is an estimate of task
exposure, not a prediction of job loss.
Score inputs for this role:
This role starts from O*NET 31.0 occupational descriptors and is empirically grounded by Penn/OpenAI GPTs are GPTs study, Anthropic Economic Index (June 26, 2026), Felten, Raj and Seamans AIOE index. BLS labor-market figures are separate context, not score inputs.
Parking Attendants
More exposed than 24% of the roles we track. Median pay ~US$35,150. About 18,500 projected openings a year (BLS 2024–34 - growth plus replacement).
Pay & demand figures are US medians (BLS, in USD) - your local figures will differ. Your exposure score applies broadly.
Will AI replace Parking Attendants?
No exposure score can predict whether AI will replace this role. The 48/100 score means our current model estimates moderate task exposure from the sources listed on this page. It does not predict an employer decision, headcount, or an individual outcome. The task map below shows the work assessed and where human judgment remains important.
Early-career context (study ages 22-25)
This role is in our Moderate exposure band, not our highest-exposure bands. The study's 16% finding should not be applied directly to this role.
The November 2025 revision reports a 16% relative employment decline for workers ages 22-25 in the most AI-exposed U.S. occupations, after firm-level controls, relative to workers in less-exposed fields and more experienced workers in the same occupations.
Use the task map to identify durable work and the skills worth building early.
Stanford Digital Economy Lab, Canaries in the Coal Mine - November 2025 revision
This is group-level U.S. payroll evidence, not a personal forecast. The authors do not claim that AI alone caused the change, and this context does not alter the exposure score.
How this role compares to similar Transportation roles
What this role usually involves
Park vehicles or issue tickets for customers in a parking lot or garage. May park or tend vehicles in environments such as a car dealership or rental car facility. May collect fee.
Broad guidance for this preparation level; exact requirements vary by role and employer.
Source: O*NET 31.0 exact occupation - Parking Attendants, SOC 53-6021.00. Context describes the role; the AI-exposure score remains a separate task-exposure estimate.
Parking Attendants tasks, by AI exposure
- Perform cash handling tasks, such as making change, balancing and recording cash drawer, or distributing tips.
- Park and retrieve automobiles for customers in parking lots, storage garages, or new car lots.
- Provide customer assistance and information, such as giving directions or handling wheelchairs.
- Call emergency responders or the proper authorities and provide motorist assistance, such as giving directions or helping jump start a stalled vehicle.
- Keep parking areas clean and orderly to ensure that space usage is maximized.
No durable tasks identified for this role - its individually-assessed tasks split 60% automatable / 40% augmentable.
We analyzed all 15 Parking Attendants tasks - 9 automatable and 6 augmentable. The full task map - every task with exactly what to do about each - is in your Career Report.
Your report unlocks three concrete artifacts
Every task scored with what to automate, augment, or protect.
Related roles with exposure deltas, salary, demand, and reachability. Lower-exposure options appear only when the data supports them.
A keepable roadmap plus resume and LinkedIn repositioning.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate - not generic advice.
Adjacent career paths
This role is already among lower-exposure work. The adjacent paths below are shown for opportunity and skill transfer, not as lower-exposure alternatives.
Perform cash handling tasks, such as making change, balancing and recording cash drawer, or distributing tips.
Your AI-Safe Career Report
Every task scored with what to do about it; adjacent paths with honest exposure deltas, salary, demand, and reachability; a skill-gap map; a 30/60/90-day roadmap; Agent Reality Check; plus a résumé and LinkedIn rewrite and professional PDF.
Grounded in O*NET-linked or curated role data, with Penn, Anthropic Economic Index, and AIOE signals where matched. BLS labor-market context is separate.
AI now appears in 7.3% of U.S. job postings on Indeed, up from 1.7% in January 2019 - the skills employers ask for are shifting, and adapting early pays. - Indeed Hiring Lab AI Tracker, 2026
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Parking Attendants - median pay by US state (BLS OEWS, USD)
Median annual wage, in USD. US national: US$35,150. More states are being added.