Last Update: 11/21/2025
Your role’s AI Resilience Score is
Median Score
Changing Fast
Evolving
Stable
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
They help build structures by carrying materials, digging, and assisting skilled workers to ensure everything is safe and on track.
Summary
The career of a construction laborer is considered "Stable" because many tasks still heavily rely on human skills and judgment. The unpredictable nature of construction sites and the need for hands-on work, like reading blueprints and handling materials, mean that machines can assist but not replace people.
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Learn more about how you can thrive in this position
Summary
The career of a construction laborer is considered "Stable" because many tasks still heavily rely on human skills and judgment. The unpredictable nature of construction sites and the need for hands-on work, like reading blueprints and handling materials, mean that machines can assist but not replace people.
Read full analysisContributing Sources
AI Resilience
All scores are converted into percentiles showing where this career ranks among U.S. careers. For models that measure impact or risk, we flip the percentile (subtract it from 100) to derive resilience.
CareerVillage.org's AI Resilience Analysis
AI Task Resilience
Microsoft's Working with AI
AI Applicability
Anthropic's Economic Index
AI Resilience
Will Robots Take My Job
Automation Resilience
High 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
Construction Laborers
Updated Quarterly • Last Update: 11/22/2025

State of Automation & Augmentation
Construction labor tasks are still mostly done by people with only some tech help. For example, laborers may “measure, mark, or record” site dimensions using tools [1]. Today, crews often use laser levels or GPS-enabled total stations to speed layout, but a worker still has to set them up and mark locations by hand.
Similarly, flaggers still “control traffic passing near…work zones” by hand [1]; there are experimental “robotic flaggers,” but safety rules and varied road conditions mean human flaggers are almost always used. Reading blueprints remains largely manual work – workers “read plans, instructions, or specifications” to know what to do [1]. Architects and foremen use apps or AR goggles to visualize plans, but AI can’t fully replace a person’s judgment on a busy site.
Heavy tasks like loading materials or pouring concrete still rely on people too. For instance, a laborer “loads, unloads, or identify[s] building materials… according to project plans” [1], and uses portable mixers to “mix, pour, or spread concrete” [1]. Large concrete trucks and pump machines exist, but small jobs often need hands-on work.
In short, current tools help – think digital measurements, safety sensors, or concrete trucks – but they augment rather than replace human labor.

AI Adoption
AI and robots in construction have been growing slowly. High equipment costs and site complexity are big reasons. Unpredictable outdoor environments and changing blueprints make on-site work hard to fully automate.
Many pieces of new tech (from 3D-printing walls to self-driving bulldozers) are still in testing. By contrast, hiring hourly laborers is often cheaper and more flexible than buying a new machine. Safety and legal rules also slow things: for example, U.S. regulations still require certified workers for many tasks, so contractors can’t simply cut corners with unproven robots.
However, some factors push for more AI use. The industry has a big worker shortage, so firms are interested in tools (like drones for surveys or AI for planning) that let fewer people do more. Over time, families of apps (for digital plans, site cameras, or smart scaffolding) are making work easier.
In the end, human skills – like teamwork, on-the-spot problem solving, and careful safety checks – stay valuable. Even as some tasks get tech help, friendly advice for young people is: on a construction site, machines will help you, not fully replace you [1] [1]. The “hands-on” and flexible parts of the job are still best done by humans, and those skills will continue to be needed.

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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
AI-generated estimates of task resilience over the next 3 years
Clean or prepare construction sites to eliminate possible hazards.
Dig ditches or trenches, backfill excavations, or compact and level earth to grade specifications, using picks, shovels, pneumatic tampers, or rakes.
Erect or dismantle scaffolding, shoring, braces, traffic barricades, ramps, or other temporary structures.
Position or dismantle forms for pouring concrete, using saws, hammers, nails, or bolts.
Lubricate, clean, or repair machinery, equipment, or tools.
Operate jackhammers or drills to break up concrete or pavement.
Smooth or finish freshly poured cement or concrete, using floats, trowels, screeds, or powered cement finishing 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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