Headline risk
20%
Moderate RiskHighway maintenance workers
AI displacement pressure score for United States AI Work Index, combining global AI task overlap with local wages, employment trends, and demand signals.
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
Data quality
Employment data available
Narrative & sources
Important context
This score measures structural AI displacement pressure, not actual job losses. Local wages and demand data are specific to United States AI Work Index; the underlying AI task overlap analysis is consistent across all countries.