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Will AI replace Traffic Technicians?

Conduct field studies to determine traffic volume, speed, effectiveness of signals, adequacy of lighting, and other factors influencing traffic conditions, under direction of traffic engineer. The percentage shown is a task-exposure model, not a prediction of certain job loss.

O*NET 30.3 · 53-6041.00 · modeled exposure, not guaranteed job loss
LOW TASK EXPOSURE
34%
Estimated share of representative tasks exposed to current AI capabilities.
Task automation shareⓘ
34%Automatable
Automatable34%
Augmentable36%
Hard to automate30%
Based on analysis of representative responsibilities and current AI capability maturity.
Category#
Trades & Physical
Field & Physical
Modeled pay midpoint$
$97,700/yr
Directional estimate — verify locally
Time until impact⌁
6–10+ years
Earliest 2032 · widespread 2036+
Task-level replaceability ⓘ
Representative tasks ranked from highest to lowest AI exposure.
◇Study traffic delays by noting times of delays, the numbers of vehicles affected, and vehicle speed through the delay area.44%
⚙Interact with the public to answer traffic-related questions, respond to complaints or requests, or discuss traffic control ordinances, plans, policies, or procedures.34%
▥Prepare graphs, charts, diagrams, or other aids to illustrate observations or conclusions.23%
✦Physical dexterity in unpredictable settings22%
✦Safety responsibility and on-site judgment18%
Impact timeline ⓘ
How AI assistance may move from early support to wider adoption.
2032Next2036+
Light supportAI provides limited help with study traffic delays by noting times of delays, the numbers of vehicles affected, and vehicle speed through the delay area..
AugmentationTools improve productivity without owning outcomes.
Human-ledCore work stays anchored in physical dexterity in unpredictable settings.
6–10+ yearsdirectional confidence window
HOW AI CHANGES THIS JOBtyping the logic in plain English
01>Start with the real work done by Traffic Technicians.
02>AI can help with: Study traffic delays by noting times of delays, the numbers of vehicles affected, and vehicle speed through the delay area.
03>If a task is repetitive and easy to check, AI pressure goes up.
04>But a person is still needed for: Physical dexterity in unpredictable settings.
05>Likely result: AI mostly acts as a helper while the core job stays human-led.
06>Important: 34% is estimated task exposure—not a 34% chance of losing the job.
What AI can do
Study traffic delays by noting times of delays, the numbers of vehicles affected, and vehicle speed through the delay area.LOW MATCH
Interact with the public to answer traffic-related questions, respond to complaints or requests, or discuss traffic control ordinances, plans, policies, or procedures.LOW MATCH
Prepare graphs, charts, diagrams, or other aids to illustrate observations or conclusions.LOW MATCH
How estimates work →
Your human moat
◆

Physical dexterity in unpredictable settings

MEDIUM-HIGH

Combined with safety responsibility and on-site judgment, this keeps a human in the loop.

Strength8.1
Similar-role comparison
RoleRisk
Traffic Technicians34%
Logging Equipment Operators33%
Tree Trimmers and Pruners35%
Janitors and Cleaners, Except Maids and Housekeeping Cleaners33%
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Why this score?

✓The model evaluates 3 representative core tasks.
✓The core work depends on presence, dexterity, or accountability.
✓Occupation and task language comes from O*NET 30.3.
✓The strongest human advantage is physical dexterity in unpredictable settings.
Research basis

O*NET 30.3 occupation tasks plus the ILO 2025 exposure framework. Scores are directional estimates.

Read ILO research →
Data: O*NET 30.3 · Model framework: ILO 2025About O*NETShare report
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Logging Equipment Operators · 33% exposureTree Trimmers and Pruners · 35% exposureJanitors and Cleaners, Except Maids and Housekeeping Cleaners · 33% exposure