OBSERVED IN REAL USE · Anthropic 2026
0%
of this role’s work is already showing up in real Claude usage (Anthropic Economic Index).
Lightly singed at worst. Carry on.
32% of this role’s O*NET tasks are within reach of today’s AI. That is the core-weighted exposure score from Eloundou et al. 2023 (“GPTs are GPTs”). It measures a capability ceiling, not a headcount forecast. Mostly safe. AI helps around the edges, but the job stays human.
WHAT AI CAN ALREADY DO
- Enter and retrieve information pertaining to vehicle registration, identification, and status, using hand-held computers
- Respond to and make radio dispatch calls regarding parking violations and complaints
- Prepare and maintain required records, including logs of parking enforcement activities, and records of contested citations
- Assign and review the work of subordinates
- Observe and report hazardous conditions, such as missing traffic signals or signs, and street markings that need to be repainted
WHAT IT STILL CAN’T
- Appear in court at hearings regarding contested traffic citations
- Maintain assigned equipment and supplies, such as hand-held citation computers, citation books, rain gear, tire-marking chalk, and street cones
- Train new or temporary staff
- Perform traffic control duties such as setting up barricades and temporary signs, placing bags on parking meters to limit their use, or directing traffic
- Patrol an assigned area by vehicle or on foot to ensure public compliance with existing parking ordinance
THE HONEST PART. A percentage is not a pink slip. High exposure usually means a role shrinks and shifts toward judgment, direction and responsibility: the parts a model can’t sign its name to. Exposure ≠ displacement. Breathe.
"My job is 32% cooked. What’s yours?"
SOURCES: O*NET 30.3 occupational tasks · Eloundou et al. 2023 (“GPTs are GPTs”,
arXiv:2303.10130) · Anthropic Economic Index 2026 (CC-BY) |
how this is calculated |
last updated 2026-07-16