All occupations › Protective serviceCan AI Replace Parking Enforcement Workers in 2026? Lower exposure. AI could handle about 39% of today's parking enforcement workers tasks by 2036, and there is a 17% chance the number of jobs falls by a fifth or more. AI both assists and takes over tasks.
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Timeline Year 2030 Chance of 20%+ fewer jobs
10% 2030 · 17% 2036
One person could cover, 2036
1.3 roles
0% 50% 100% 2026 2028 2030 2032 2034 2036 2026: 14% 2027: 15% 2028: 17% 2029: 20% 2030: 23% 2031: 27% 2032: 31% 2033: 34% 2034: 36% 2035: 38% 2036: 39% 23% Share of today's tasks AI can perform 40 80 120 2026 2028 2030 2032 2034 2036 2026: 100 2027: 99 2028: 99 2029: 98 2030: 97 2031: 96 2032: 95 2033: 94 2034: 94 2035: 93 2036: 93 97 Headcount index, 2025 = 100 (dashed line) Your survival map Not every part of your job is at the same risk. Tap a number to see what to do about each task.
You 1 2 3 4 5 6 7 8 9 10
Tap a number on the map or a task below.
1 Patrol an assigned area by vehicle or on foot to ensure public compliance with existing parking ordinance. 2 Appear in court at hearings regarding contested traffic citations. 3 Maintain assigned equipment and supplies, such as hand-held citation computers, citation books, rain gear, tire-marking chalk, and street cones. 4 Write warnings and citations for illegally parked vehicles. 5 Provide information to the public regarding parking regulations and facilities, and the location of streets, buildings and points of interest. 6 Investigate and answer complaints regarding contested parking citations, determining their validity and routing them appropriately. 7 Enter and retrieve information pertaining to vehicle registration, identification, and status, using hand-held computers. 8 Respond to and make radio dispatch calls regarding parking violations and complaints. 9 Prepare and maintain required records, including logs of parking enforcement activities, and records of contested citations. 10 Assign and review the work of subordinates. Based on 23 O*NET tasks for "Parking Enforcement Workers" (SOC 33-3041.00). LLM alone: 18% of tasks; with AI tools: 46%. Projections are a model, not official statistics. How we calculate this · Data version 2026-10
