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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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The AI Resilience Report is a project from CareerVillage®, a registered 501(c)(3) nonprofit.
Resilient
Last Update: 4/23/2026
Your role’s AI Resilience Score is
72.1%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
High
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
High
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Med
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.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
AI Resilience Report forConstruction Laborers
Construction Laborers are more resilient to AI impacts than most occupations, according to our analysis of 7 sources.
Construction laborers are considered "Resilient" because most of the work requires human skills like physical dexterity, decision-making, and problem-solving in unpredictable environments. While AI and machines can help with certain tasks, like traffic control or material handling, they mostly assist rather than replace the hands-on work that people do.
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Construction laborers are considered "Resilient" because most of the work requires human skills like physical dexterity, decision-making, and problem-solving in unpredictable environments. While AI and machines can help with certain tasks, like traffic control or material handling, they mostly assist rather than replace the hands-on work that people do.
Read full analysisAnalysis of Current AI Resilience
Construction Laborers
Updated Quarterly • Last Update: 2/17/2026
How is AI changing Construction Laborers jobs?
Construction labor involves many hands-on jobs. Right now, only a few tasks are seeing real automation or AI help. For traffic control, “smart” flagging devices exist.
For example, Automated Flagger Assistance Devices (AFADs) let a worker sit safely aside and use machines and sensors to signal traffic [1]. GPS‐linked “smart cones” can even sense traffic flow and help adjust lane closures automatically [1]. In materials handling, factories use driverless forklifts and trucks for repetitive loading, and some construction sites are beginning to test self-driving haul trucks [2].
Drones and scanners with AI can also map a site or find traffic signs from above, speeding up layout and safety checks [3].
However, most core tasks still need people. Measuring, cutting, mixing concrete and drilling remain mostly manual, because sites are unpredictable and vary day to day. No major robot yet pours a sidewalk or wields a jackhammer as flexibly as a person.
In short, technology can assist – for example, motorized mixers, laser levels, or apps can help workers – but we did not find evidence of full AI replacement for these jobs [1] [2]. Human workers are still needed for decisions, safety checks, and hands-on skills.
Sources
How fast is AI adoption growing for Construction Laborers?
Moving to more robots on a noisy, moving jobsite is hard. High equipment cost and the challenge of uneven ground mean companies adopt slowly [1] [2]. Many builders rely on tried-and-true tools and cheap labor.
At the same time, a labor shortage and safety concerns are pushing some change. For example, the lack of forklift operators has accelerated interest in driverless trucks [2]. Studies also show people do accept some automation: one Missouri test found 80% of drivers preferred an automated flagging device over a human for safety [1].
Overall, AI and machines are being tried in construction (for traffic, lifting, surveying, etc.), but at a measured pace. Increases in efficiency and safety help adoption, yet human skills remain vital. Young workers should know that creativity, communication, and hands-on know-how are still in demand – technology mostly augments rather than fully replaces the laborer’s role [1] [2].
Sources
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More Career Info
Career: Construction Laborers
They help build structures by carrying materials, digging, and assisting skilled workers to ensure everything is safe and on track.
Parent Careers
Employment & Wage Data
Median Wage
$46,730
Jobs (2024)
1,457,000
Growth (2024-34)
+7.3%
Annual Openings
129,400
Education
No formal educational credential
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
Clean or prepare construction sites to eliminate possible hazards.
2
Tend pumps, compressors, or generators to provide power for tools, machinery, or equipment or to heat or move materials, such as asphalt.
3
Mop, brush, or spread paints, cleaning solutions, or other compounds over surfaces to clean them or to provide protection.
4
Control traffic passing near, in, or around work zones.
5
Position or dismantle forms for pouring concrete, using saws, hammers, nails, or bolts.
6
Perform site activities required of green certified construction practices, such as implementing waste management procedures, identifying materials for reuse, or installing erosion or sedimentation co...
7
Lubricate, clean, or repair machinery, equipment, or tools.
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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