BETA
Updated: Mar 20
BETA
Updated: Mar 20
Stable
Last Update: 3/13/2026
Your role’s AI Resilience Score is
73.8%
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 expected to remain steady over time, with AI supporting rather than replacing the core work.
AI Resilience Report for
Construction Laborers
They help build structures by carrying materials, digging, and assisting skilled workers to ensure everything is safe and on track.
This role is stable
Construction laborers have a "Stable" career label because many tasks still require human skills and judgment. While some technology like smart flaggers and drones can help with specific jobs, most work on a construction site is hands-on and varies too much for robots to handle alone.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreThis role is stable
Construction laborers have a "Stable" career label because many tasks still require human skills and judgment. While some technology like smart flaggers and drones can help with specific jobs, most work on a construction site is hands-on and varies too much for robots to handle alone.
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
Stable79.0%
79.0%
Microsoft's Working with AI
AI Applicability
Measures how applicable AI tools (like Bing Copilot) are to each occupation based on real usage patterns
Stable95.4%
95.4%
Anthropic's Observed Exposure
AI Resilience
Based on observed patterns of how Claude is being used across occupational tasks in real conversations
Stable87.5%
87.5%
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
Evolving39.8%
39.8%
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
Evolving69.5%
69.5%
High Demand
Labor Market Outlook
We use BLS employment projections to complement the AI-focused assessments from other sources.
Learn about this scoreGrowth Rate (2024-34):
7.3%
Growth Percentile:
86.8%
Annual Openings:
129,400
Annual Openings Pct:
91.2%
Analysis of Current AI Resilience
Construction Laborers
Updated Quarterly • Last Update: 2/17/2026
What's changing and what's not
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
AI in the real world
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
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
Mop, brush, or spread paints, cleaning solutions, or other compounds over surfaces to clean them or to provide protection.
2
Dig ditches or trenches, backfill excavations, or compact and level earth to grade specifications, using picks, shovels, pneumatic tampers, or rakes.
3
Erect or dismantle scaffolding, shoring, braces, traffic barricades, ramps, or other temporary structures.
4
Position or dismantle forms for pouring concrete, using saws, hammers, nails, or bolts.
5
Tend pumps, compressors, or generators to provide power for tools, machinery, or equipment or to heat or move materials, such as asphalt.
6
Operate or maintain air monitoring or other sampling devices in confined or hazardous environments.
7
Identify, pack, or transport hazardous or radioactive materials.
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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