BETA

Updated: Feb 6

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BETA

Updated: Feb 6

Stable

Last Update: 11/21/2025

Your role’s AI Resilience Score is

84.7%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Medium-high

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.

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

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More career info

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 analysis

Contributing 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

Learn about this score
Stable iconStable

94.0%

94.0%

Microsoft's Working with AI

AI Applicability

Learn about this score
Stable iconStable

95.4%

95.4%

Anthropic's Economic Index

Stable iconStable

99%

99%

Will Robots Take My Job

Automation Resilience

Learn about this score
Evolving iconEvolving

42.5%

42.5%

High Demand

Labor Market Outlook

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

Learn about this score

Growth Rate (2024-34):

7.3%

Growth Percentile:

86.8%

Annual Openings:

129.4

Annual Openings Pct:

91.2%

Analysis of Current AI Resilience

Construction Laborers

Updated Quarterly • Last Update: 11/22/2025

Analysis
Suggested Actions
State of Automation

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.

Sources

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AI Adoption

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.

Sources

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More Career Info

Career: Construction Laborers

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

65% ResilienceCore Task

Clean or prepare construction sites to eliminate possible hazards.

2

65% ResilienceCore Task

Dig ditches or trenches, backfill excavations, or compact and level earth to grade specifications, using picks, shovels, pneumatic tampers, or rakes.

3

65% ResilienceCore Task

Erect or dismantle scaffolding, shoring, braces, traffic barricades, ramps, or other temporary structures.

4

65% ResilienceCore Task

Position or dismantle forms for pouring concrete, using saws, hammers, nails, or bolts.

5

65% ResilienceCore Task

Lubricate, clean, or repair machinery, equipment, or tools.

6

65% ResilienceCore Task

Operate jackhammers or drills to break up concrete or pavement.

7

65% ResilienceCore Task

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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