57
/100

SOC 47-4051

Highway Maintenance Workers

ElevatedFrey/Osborne: 87.0%

Risk Score

โš ๏ธ

57/100

Elevated

US Employment

๐Ÿ‘ฅ

151,750

Total workers

Median Wage

๐Ÿ’ฐ

$49K

$35K โ€“ $69K

Projected Growth

๐Ÿ“ˆ

+3%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

24/100

Low exposure

How we calculate these numbers โ†’

๐Ÿ’ก Highway Maintenance Workers face a risk score of 57/100 โ€” 13 points above the national average of 44. With only 24/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $49K ($3K 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 57/100, Highway Maintenance Workers faces moderate automation pressure. While tasks like autonomous heavy equipment operation are increasingly handled by AI, the role retains significant human elements. The 151,750 workers in this occupation should focus on strengthening skills in navigating unpredictable and unstructured job sites and physical work in confined or elevated spaces to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Highway Maintenance Workers?

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

โš ๏ธ Top Risk Factors

1

Autonomous heavy equipment operation

2

AI project scheduling and resource optimization

3

3D printing of building components

4

Drone-based site surveying and inspection

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Navigating unpredictable and unstructured job sites

โœ“

Physical work in confined or elevated spaces

โœ“

Fine motor craftsmanship in custom installations

โœ“

Adapting to unique building configurations on-site

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

Set out signs and cones around work areas to divert traffic.

โ€ข

Flag motorists to warn them of obstacles or repair work ahead.

โ€ข

Perform preventative maintenance on vehicles and heavy equipment.

โ€ข

Drive trucks to transport crews and equipment to work sites.

โ€ข

Erect, install, or repair guardrails, road shoulders, berms, highway markers, warning signals, and highway lighting, using hand tools and power tools.

๐Ÿ’ป Technology Skills

โ€ข

Data base user interface and query software

โ€ข

Spreadsheet software

โ€ข

Office suite software

โ€ข

Electronic mail software

โ€ข

Presentation software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Public Safety and Security

โ€ข

English Language

โ€ข

Transportation

โ€ข

Building and Construction

โ€ข

Education and Training

๐Ÿ“Š vs National Average

Median Wage$49K
+$3K

National avg: $46K

Risk Score57/100
+13

National avg: 44/100

GenAI Exposure24/100
-14

National avg: 38/100

Projected Growth3.0%
-0.7%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K59%
Extraction Workers29$56K71%
Electricians32$62K80%