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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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Somewhat Resilient
Last Update: 4/23/2026
Your role’s AI Resilience Score is
41.6%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Low
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
High
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
AI Resilience Report forParking Enforcement Workers
Parking Enforcement Workers are somewhat less resilient to AI impacts than most occupations, according to our analysis of 5 sources.
This career is labeled as "Somewhat Resilient" because while AI is taking over many routine tasks like issuing parking tickets, human skills are still crucial for other parts of the job. Tasks like talking to drivers, making judgments on ticket disputes, and handling special situations need a human touch that AI can't replace yet.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is somewhat resilient
This career is labeled as "Somewhat Resilient" because while AI is taking over many routine tasks like issuing parking tickets, human skills are still crucial for other parts of the job. Tasks like talking to drivers, making judgments on ticket disputes, and handling special situations need a human touch that AI can't replace yet.
Read full analysisAnalysis of Current AI Resilience
Parking Enforcement
Updated Quarterly • Last Update: 2/17/2026
How is AI changing Parking Enforcement jobs?
Many parking officers’ routine tasks are seeing new tech help. For example, cities now use smartphones and cameras with AI to spot illegal cars. In Los Angeles, AI cameras on Metro buses scanned for wrong-parked vehicles and triggered almost 10,000 tickets in one month [1].
In Philadelphia, bus-mounted cameras also use AI to flag bus-lane parking (though officers still “review… to make sure it’s a legit violation” [2] [3]). In parking lots, license-plate readers (LPR) can automatically check plates against payment records and even issue tickets without a person writing each one [4]. In Seoul, smart sensors at EV charging stations scan plates and flash a warning if a non-EV is parked there [5].
Other parts of the job are not automated yet. Talking on radios, answering drivers’ questions, or contesting tickets in court all still need human officers. We found no examples of an AI robot handling a dispatch call or going to a hearing.
Even the new camera systems leave a human in the loop – Philadelphia’s plan is that AI-identified violations are “reviewed by us” before issuing a fine [2]. Research shows AI could detect hazards (for instance, one study had AI spot broken or missing street signs with over 90% accuracy [6]), but in practice officers still drive around and report potholes or faded markings themselves. In short, AI is starting to take over the boring, routine work of writing tickets, but human skills like communicating and judging situations are still very much needed.
Sources
How fast is AI adoption growing for Parking Enforcement?
Cities adopt parking AI slowly or quickly depending on costs, labor, and concerns. There are now companies selling these AI cameras and systems (e.g. a firm called Hayden AI supplies bus-mounted cameras). Los Angeles approved an $11 million deal for 100 AI camera systems [1], and soon saw the cameras pay off – in just a few weeks they issued thousands of fines [1].
A parking-industry report notes such automation “drastically increase[s] revenue” while cutting the need for workers to write tickets by hand [4]. These economic gains make AI attractive: each new ticket is pure revenue and less staff time is needed on foot patrol.
On the other hand, the upfront price and public trust matter too. Experts warn that “initial rollout costs and privacy issues” are a challenge for these systems [4]. Cities often take it slow: Philadelphia is doing public outreach and a warning period before starting full AI ticketing [2].
Some communities worry about fairness; for example, a London report found drivers losing AI-ticket appeals due to mysterious “phantom” evidence [7]. In short, the AI tools exist today, but money, laws, and public acceptance will decide how fast they replace people. Even if cameras crunch data, parking officers’ human skills – judgement, explaining rules, and handling special cases – remain valuable.
Upholding our safety and fairness will still need a human touch, so the job isn’t disappearing overnight.
Sources
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More Career Info
Career: Parking Enforcement Workers
They make sure cars are parked correctly by checking meters and giving tickets when rules are broken.
Parent Careers
Employment & Wage Data
Median Wage
$47,150
Jobs (2024)
8,400
Growth (2024-34)
-1.5%
Annual Openings
700
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Make arrangements for illegally parked or abandoned vehicles to be towed, and direct tow-truck drivers to the correct vehicles.
2
Enter and retrieve information pertaining to vehicle registration, identification, and status, using hand-held computers.
3
Provide assistance to motorists needing help with problems, such as flat tires, keys locked in cars, or dead batteries.
4
Provide information to the public regarding parking regulations and facilities, and the location of streets, buildings and points of interest.
5
Observe and report hazardous conditions such as missing traffic signals or signs, and street markings that need to be repainted.
6
Patrol an assigned area by vehicle or on foot to ensure public compliance with existing parking ordinance.
7
Remove handbills within patrol areas.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
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