O*NET-SOC 33-3041.00

How exposed are Parking Enforcement Workers to AI?

46 /100
Moderate

Parking Enforcement Workers score 46 out of 100 (Moderate) on the AIRRBridge AI exposure scale, built from the U.S. Bureau of Labor Statistics' Employment Projections 2025–35 and O*NET task data. Exposure measures how much of the work AI tools could change. It is not a forecast of job loss.

How this score is built

BLS AI exposure: ModerateThe U.S. Bureau of Labor Statistics rates this occupation's relative exposure to AI as moderate. Exposure measures how much of the work AI tools could change, and BLS notes it does not imply job loss.37.5
O*NET task mixHow this occupation's tasks compare with other moderate-exposure occupations: routine, information-heavy work raises it, while caring, hands-on and judgment-heavy work lowers it.+9.4
ScoreKept between 5 and 95. Low is under 25, Moderate 25 to 49, High 50 to 74, Very high 75 and up.46.9

Job outlook

Median annual pay$46,730
Projected employment change, 2025 to 2035−1.1%
Openings per year, on averageabout 800
Typical education to enterHigh school diploma or equivalent
On-the-job trainingShort-term on-the-job training

Source: U.S. Bureau of Labor Statistics, Employment Projections 2025–35.

Common questions

How will AI affect Parking Enforcement Workers?

AIRRBridge rates Parking Enforcement Workers at 46 out of 100 (Moderate) for AI exposure. Exposure measures how much of the work AI tools could change, not whether the job will disappear. BLS projects employment in this occupation to decline 1.1% from 2025 to 2035, with about 800 openings a year.

How much do Parking Enforcement Workers make?

BLS reports a median annual pay of $46,730 for this occupation.

What education do Parking Enforcement Workers need?

BLS lists a high school diploma or equivalent as the typical education needed to enter this occupation.

Averages don't capture your exact tasks. Take the free AI Risk Check for a personal read on your own work as one of today's Parking Enforcement Workers.

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O*NET-SOC 33-3041.00 · O*NET 30.2 data, scored October 2026. Source: U.S. Bureau of Labor Statistics, Employment Projections 2025–35. Includes information from the O*NET Database by USDOL/ETA, used under CC BY 4.0, modified by AIRRBridge. Scores are estimates for information only, not career advice.

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Parking Enforcement Workers: AI Exposure Score | AIRRBridge