Evolving

Last Update: 3/13/2026

Your role’s AI Resilience Score is

61.2%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Medium

What does this resilience result mean?

These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.

AI Resilience Report for

Highway Maintenance Workers

They keep roads safe and smooth by fixing potholes, clearing debris, and painting road lines.

This role is evolving

This career is labeled as "Evolving" because while AI and robotics are slowly being introduced to help with specific tasks like placing traffic cones and cleaning roads, most highway maintenance work still relies on human workers. New technologies are gradually being tested and may improve safety and efficiency, but the core tasks still need human judgment, teamwork, and adaptability to unexpected situations.

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Learn more about how you can thrive in this position

View analysis
Chat with Coach
Latest news
More career info
Analysis
Chat
News
More

This role is evolving

This career is labeled as "Evolving" because while AI and robotics are slowly being introduced to help with specific tasks like placing traffic cones and cleaning roads, most highway maintenance work still relies on human workers. New technologies are gradually being tested and may improve safety and efficiency, but the core tasks still need human judgment, teamwork, and adaptability to unexpected situations.

Read full analysis

Contributing Sources

We aggregate scores from multiple models and supplement with employment projections for a more accurate picture of this occupation’s resilience. Expand to view all sources.

AI Resilience

AI Resilience Model v1.0

AI Task Resilience

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Stable iconStable

90.6%

90.6%

Microsoft's Working with AI

AI Applicability

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Stable iconStable

97.1%

97.1%

Will Robots Take My Job

Automation Resilience

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Evolving iconEvolving

40.6%

40.6%

Althoff & Reichardt

Economic Growth

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Changing fast iconChanging fast

19.9%

19.9%

Medium Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

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Growth Rate (2024-34):

3.0%

Growth Percentile:

50.4%

Annual Openings:

12,300

Annual Openings Pct:

56.8%

Analysis of Current AI Resilience

Highway Maint. Workers

Updated Quarterly • Last Update: 2/17/2026

Analysis
Suggested Actions
State of Automation

What's changing and what's not

Highway crews still do most work by hand, but a few tasks are seeing new robotic aids. For example, Hong Kong built a “Roadbot” with cameras and robot arms to place and pick up traffic cones on highways [1]. In Australia, engineers trialed a self-driving traffic “Robocone” that moves itself to mark work zones [2].

China even tested driverless street-sweeper trucks that clean highway debris without a person at the wheel [3]. In Spain, researchers used drones and a small unmanned ground vehicle (with a robotic arm) to inspect and even repair road damage [4]. However, many core jobs remain manual.

Activities like standing in traffic, flagging drivers, or installing guardrails and shoulders still need people. (For example, an EU robotics project – InfraROB – focused on automating pothole filling and line painting, not guardrail or flagger work [5].) In short, only a few specific tasks have experimental automated helpers so far; most highway maintenance work is still done by crews.

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AI Adoption

AI in the real world

Wider use of AI tools in road work is likely to be gradual. Studies suggest these systems can help: for instance, an EU test program found robot teams cut fatal accidents in work zones by about 50% and cut some maintenance costs roughly 35% [5]. Spanish research has shown smart road robots could make fixing roads about 14% faster and lower carbon emissions around 11% [4].

But these systems are expensive to build and must meet strict safety rules, so agencies are cautious. For example, China’s trial of 50 autonomous sweepers on city streets [3] was notable, but such pilots are still rare. In most places today, road crews still use human-driven trucks and hand tools because people can adapt to surprises in traffic and jobs.

Overall, AI may add helpful tools and improve safety, but highway maintenance work will continue to need human judgment, teamwork, and communication. Those human skills remain valuable even as some tasks get new technology [5] [4].

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More Career Info

Career: Highway Maintenance Workers

Employment & Wage Data

Median Wage

$49,070

Jobs (2024)

159,100

Growth (2024-34)

+3.0%

Annual Openings

12,300

Education

High school diploma or equivalent

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2024-2034

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

85% ResilienceCore Task

Remove litter and debris from roadways, including debris from rock and mud slides.

2

80% ResilienceCore Task

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

3

80% ResilienceCore Task

Perform roadside landscaping work, such as clearing weeds and brush, and planting and trimming trees.

4

75% ResilienceCore Task

Inspect, clean, and repair drainage systems, bridges, tunnels, and other structures.

5

75% ResilienceCore Task

Clean and clear debris from culverts, catch basins, drop inlets, ditches, and other drain structures.

6

75% ResilienceSupplemental

Apply oil to road surfaces, using sprayers.

7

70% ResilienceCore Task

Dump, spread, and tamp asphalt, using pneumatic tampers, to repair joints and patch broken pavement.

Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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