62
/100

SOC 53-6041

Traffic Technicians

High RiskFrey/Osborne: 90.0%

Risk Score

โš ๏ธ

62/100

High Risk

US Employment

๐Ÿ‘ฅ

7,580

Total workers

Median Wage

๐Ÿ’ฐ

$58K

$38K โ€“ $86K

Projected Growth

๐Ÿ“ˆ

+3.7%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

65/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Traffic Technicians face a risk score of 62/100 โ€” 18 points above the national average of 44. With 65/100 GenAI exposure, this occupation faces significant pressure from AI tools despite strong projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $58K ($12K above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 62/100, Traffic Technicians faces moderate automation pressure. While tasks like automated data interpretation and insight generation are increasingly handled by AI, the role retains significant human elements. The 7,580 workers in this occupation should focus on strengthening skills in manual loading of irregular and fragile cargo and emergency situation response and quick decision-making to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Traffic Technicians?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

Automated data interpretation and insight generation

2

AI coding assistants reducing developer demand

3

Predictive maintenance reducing manual inspection needs

4

AI summarization replacing manual report compilation

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Manual loading of irregular and fragile cargo

โœ“

Emergency situation response and quick decision-making

โœ“

Navigating complex urban environments with obstacles

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Study traffic delays by noting times of delays, the numbers of vehicles affected, and vehicle speed through the delay area.

โ€ข

Interact with the public to answer traffic-related questions, respond to complaints or requests, or discuss traffic control ordinances, plans, policies, or procedures.

โ€ข

Prepare graphs, charts, diagrams, or other aids to illustrate observations or conclusions.

โ€ข

Analyze data related to traffic flow, accident rates, or proposed development to determine the most efficient methods to expedite traffic flow.

โ€ข

Prepare work orders for repair, maintenance, or changes in traffic systems.

๐Ÿ’ป Technology Skills

โ€ข

Computer aided design CAD software

โ€ข

Object or component oriented development software

โ€ข

Analytical or scientific software

โ€ข

Geographic information system

โ€ข

Data base user interface and query software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Public Safety and Security

โ€ข

Computers and Electronics

โ€ข

Transportation

โ€ข

English Language

โ€ข

Engineering and Technology

๐Ÿ“Š vs National Average

Median Wage$58K
+$12K

National avg: $46K

Risk Score62/100
+18

National avg: 44/100

GenAI Exposure65/100
+27

National avg: 38/100

Projected Growth3.7%
0.0%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
First-Line Supervisors of Transportation and Material Moving Workers, Except Aircraft Cargo Handling Supervisors25$62K74%
Aircraft Cargo Handling Supervisors29$64K81%
Air Transportation Workers31$107K77%