Headline risk
16%
Moderate RiskHighway maintenance workers
United States AI Work Index tracks this occupation on the shared structural baseline and then layers on local demand resilience, wages, and confidence.
Why This Score
Share of job tasks that overlap with current AI capabilities
Median annual wage
Projected employment change over 10 years
Typical preparation needed for this occupation
Occupation profile
Maintain highways, municipal and rural roads, airport runways, and rights-of-way. Duties include patching broken or eroded pavement and repairing guard rails, highway markers, and snow fences. May also mow or clear brush from along road, or plow snow from roadway.
Task evidence
100% weighted task match · 0% effective coverage
Scores combine AI task overlap, human advantages, and local demand. How it works
United States Now
Median Wage
USD 49,070
Employment 2024
159.1K
Projected Change (2024–34)
3.0%
Openings (2024–34)
12.3K
Wage distribution
Demand outlook
Projections published, but no prose outlook available.
Role Profile
Tasks
- 1. Flag motorists to warn them of obstacles or repair work ahead. AI use: 0%
- 2. Set out signs and cones around work areas to divert traffic. AI use: 0%
- 3. Drive heavy equipment and vehicles with adjustable attachments to sweep debris from paved surfaces, mow grass and weeds, remove snow and ice, and spread salt and sand. AI use: 0%
- 4. Drive trucks to transport crews and equipment to work sites. AI use: 0%
- 5. Clean and clear debris from culverts, catch basins, drop inlets, ditches, and other drain structures. AI use: 0%
- 6. Haul and spread sand, gravel, and clay to fill washouts and repair road shoulders. AI use: 0%
Technologies
Requirements
Work context
Worker profile
Median age 42.9 · 61K employed
Under 25: 8% · 25–54: 69% · 55+: 23%
Related
Source coverage
11/11 source families · O*NET 30.2 / OEWS 2024 / ORS 2025 / OOH 2025-08-28 / Projections 2024-34 / CPS 2025 / Anthropic task penetration
Mapping quality
title_match · employment series present
Narrative & sources
Published limitations
This page shows the local country layer, not realised individual job outcomes. The global structural baseline is shared across countries; only the local demand and wage layer changes here.
Built from O*NET occupation descriptions, task statements, technology skills, work context, Job Zones, Anthropic task penetration, BLS OEWS wages, BLS projection tables, BLS ORS requirements, BLS OOH narrative content, BLS skills data, and BLS CPS occupation age tables.