Last Update: 3/13/2026
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
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
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.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
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 analysisContributing 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
CareerVillage's proprietary model that estimates how resilient each occupation's tasks are to AI automation and augmentation
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Will Robots Take My Job
Automation Resilience
Estimates the probability of automation for each occupation based on research from Oxford University and other academic sources
Althoff & Reichardt
Economic Growth
Measured as "Wage bill" which is a long term projection for average wage × employment. It's the total labor income flowing to an occupation
Medium Demand
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
Growth Percentile:
Annual Openings:
Annual Openings Pct:
Analysis of Current AI Resilience
Highway Maint. Workers
Updated Quarterly • Last Update: 2/17/2026

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.

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].

Help us improve this report.
Tell us if this analysis feels accurate or we missed something.
Share your feedback
Navigate your career with COACH, your free AI Career Coach. Research-backed, designed with career experts.
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
AI-generated estimates of task resilience over the next 3 years
Remove litter and debris from roadways, including debris from rock and mud slides.
Erect, install, or repair guardrails, road shoulders, berms, highway markers, warning signals, and highway lighting, using hand tools and power tools.
Perform roadside landscaping work, such as clearing weeds and brush, and planting and trimming trees.
Inspect, clean, and repair drainage systems, bridges, tunnels, and other structures.
Clean and clear debris from culverts, catch basins, drop inlets, ditches, and other drain structures.
Apply oil to road surfaces, using sprayers.
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.

© 2026 CareerVillage.org. All rights reserved.
The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.
Built with ❤️ by Sandbox Web
The AI Resilience Report is governed by CareerVillage.org’s Privacy Policy and Terms of Service. This site is not affiliated with Anthropic, Microsoft, or any other data provider and doesn't necessarily represent their viewpoints. This site is being actively updated, and may sometimes contain errors or require improvement in wording or data. To report an error or request a change, please contact air@careervillage.org.