Gini Loh System Tools

AI Automation Index

Will AI Replace Parking Enforcement Workers?

Task-level automation exposure for Parking Enforcement Workers: 20 O*NET tasks scored against their work activities, plus the simulator.

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Developed & audited by Gini Loh

Automation Exposure

45% weighted task index

20 of 20 tasks scored

Median Salary

$46,730 / year

BLS OEWS, May 2025 — this exact occupation

Employment Level

Low

9,050 people hold this job — size, not growth

Projected 2025–35

-1.1% employment change

800 openings a year · BLS line item

Pay by state

BLS OEWS publishes 41 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.

$27,550 – $68,120

Highest medians

Washington $68,120
California $62,280
Oregon $59,810
Nevada $55,040
Utah $52,670

Lowest medians

Mississippi $27,550
Arkansas $30,100
West Virginia $30,490
Idaho $33,930
Tennessee $35,730

State figures come from the 33-3041 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.

What the score is made of

Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.

Automation potential 45%

Importance-weighted mean of the scored tasks. This is the headline index.

Physical work 8%

Share of weighted tasks in hands-on or machine-operating work activities.

Judgment & influence 8%

Share in analysis, decisions, teaching, directing, advising, or caring for others.

Routine administration 12%

Share in documenting, recording, and administrative activities.

Rewritten by O*NET 0%

Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.

Consequence of error 29/100 Moderate

O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.

Constituent Task Mix

20 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.

High exposure (≥ 60% of the task is automatable) 23%

4 tasks

Medium exposure (≥ 35%) 44%

9 tasks

Low exposure (below 35%) 32%

7 tasks

How would you survive?

Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.

Simulate Upskilling →

Constituent Tasks

#7951 · Core · 82% automatable

Enter and retrieve information pertaining to vehicle registration, identification, and status, using hand-held computers.

information retrieval — Database queries for investigation details

Use databases to locate investigation details or other information.
#7936 · Core · 50% automatable

Maintain close communications with dispatching personnel, using two-way radios or cell phones.

interpersonal — Live radio relay of incidents is real-time human

Relay information about incidents or emergencies to personnel using phones or two-way radios.
#7935 · Core · 15% automatable

Patrol an assigned area by vehicle or on foot to ensure public compliance with existing parking ordinance.

situated mobility — Patrolling properties is embodied mobile work

Patrol properties to maintain safety.
#7941 · Core · 43% automatable

Identify vehicles in violation of parking codes, checking with dispatchers when necessary to confirm identities or to determine whether vehicles need to be booted or towed.

text generation — Relaying situation details is structured communication

Locate suspicious objects or vehicles. Communicate situation details to appropriate personnel.
#7937 · Core · 30% automatable

Write warnings and citations for illegally parked vehicles.

decision support — Citations require on-scene judgment and legal authority

Issue warnings or citations.
#7947 · Core · 15% automatable

Appear in court at hearings regarding contested traffic citations.

interpersonal — Testimony carries legal accountability and live presence

Testify at legal or legislative proceedings.
#7945 · Core · 72% automatable

Maintain assigned equipment and supplies, such as hand-held citation computers, citation books, rain gear, tire-marking chalk, and street cones.

data analysis — Supply inventory tracking and reorder largely automatable

Maintain supply or equipment inventories.
#7939 · Core · 50% automatable

Respond to and make radio dispatch calls regarding parking violations and complaints.

interpersonal — Live radio relay of incidents is real-time human

Relay information about incidents or emergencies to personnel using phones or two-way radios.
#7946 · Core · 55% automatable

Provide information to the public regarding parking regulations and facilities, and the location of streets, buildings and points of interest.

interpersonal — Public communication needs accountability and audience trust

Inform the public about policies, services or procedures.
#7948 · Core · 33% automatable

Make arrangements for illegally parked or abandoned vehicles to be towed, and direct tow-truck drivers to the correct vehicles.

text generation — Relaying situation details is structured communication

Confiscate prohibited or dangerous items. Communicate situation details to appropriate personnel.
#7943 · Core · 35% automatable

Observe and report hazardous conditions, such as missing traffic signals or signs, and street markings that need to be repainted.

visual inspection — Environmental hazard detection needs physical sensors

Monitor environmental conditions to detect hazards.
#7942 · Core · 60% automatable

Perform simple vehicle maintenance procedures, such as checking oil and gas, and report mechanical problems to supervisors.

text generation — Relaying situation details is structured communication

Communicate situation details to appropriate personnel.
#7938 · Core · 55% automatable

Mark tires of parked vehicles with chalk and record time of marking, and return at regular intervals to ensure that parking time limits are not exceeded.

information retrieval — GPS/telematics tracking is digital; exceptions need human handling

Monitor vehicle movement or location.
#7953 · Supplemental · 80% automatable

Prepare and maintain required records, including logs of parking enforcement activities, and records of contested citations.

data analysis — Maintain operational records in structured systems

Maintain operational records.
#7944 · Supplemental · 50% automatable

Investigate and answer complaints regarding contested parking citations, determining their validity and routing them appropriately.

interpersonal — Relaying information needs real-time human channel

Investigate transportation incidents, violations, or complaints. Relay information between personnel. Respond to customer problems or complaints.
#24040 · Supplemental · 6% automatable

Perform traffic control duties such as setting up barricades and temporary signs, placing bags on parking meters to limit their use, or directing traffic or pedestrians.

physical manipulation — Physically blocking access to areas

Block physical access to restricted areas. Direct vehicle traffic.
#7940 · Supplemental · 42% automatable

Train new or temporary staff.

interpersonal — Live instruction and hands-on coaching require human presence

Train employees in proper work procedures.
#7954 · Supplemental · 25% automatable

Locate lost, stolen, and counterfeit parking permits, and take necessary enforcement action.

visual inspection — Spotting suspicious objects needs physical visual search

Locate suspicious objects or vehicles.
#7950 · Supplemental · 10% automatable

Provide assistance to motorists needing help with problems, such as flat tires, keys locked in cars, or dead batteries.

situated mobility — Roadside physical assistance in unpredictable settings

Assist motorists or pedestrians.
#7956 · Supplemental · 55% automatable

Assign and review the work of subordinates.

decision support — Performance review aided; accountability and context human

Evaluate employee performance.
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Community Sentiment

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Method

How this was scored

  1. 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
  2. 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
  3. 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
  4. 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.

Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.

Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast

See the full method →

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