Mostly Resilient

Last Update: 11/4/2026

AI Resilience Score for Construction Trades Helper:

52.5%

Median Score

Meaningful human contribution

High

Long-term employer demand

Low

Sustained economic opportunity

Low

Our confidence in this score:
Low-medium

Methodology and Scoring Rationale

To score how resilient construction trades helper work is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from six AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, Will Robots Take My Job, OpenAI Signals, and Google ATLAS. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For construction trades helpers, only three of the nine sources had data, which is why confidence is low-medium. The AI Resilience Model rated AI exposure as low risk, since this work involves physical labor on job sites that machines cannot easily replace. However, the BLS Opportunity Score and Wage Bill both came in low, pulling down demand and pay signals. That mix lands this role at "Mostly Resilient."

AI Resilience Report forHelpers, Construction Trades, All Other

$42,670 median salary•2,300 annual openings•SOC Code: 47-3019.00

Helpers, Construction Trades, All Other are somewhat more resilient to AI impacts than most occupations, according to our analysis of 3 sources.

Construction helpers are labeled "Mostly Resilient" because job sites are messy, unpredictable, and safety-sensitive environments that make it genuinely difficult and expensive for robots to handle the wide variety of tasks a human helper does every day. While some specialized machines are starting to take over narrow, repetitive jobs like tying rebar or marking layouts, the broader "helper" work of fetching materials, cleaning up, and supporting tradespeople still relies heavily on human judgment and adaptability.

Learn more about how you can thrive in this position

This role is mostly resilient

Construction helpers are labeled "Mostly Resilient" because job sites are messy, unpredictable, and safety-sensitive environments that make it genuinely difficult and expensive for robots to handle the wide variety of tasks a human helper does every day. While some specialized machines are starting to take over narrow, repetitive jobs like tying rebar or marking layouts, the broader "helper" work of fetching materials, cleaning up, and supporting tradespeople still relies heavily on human judgment and adaptability.

Read full analysis

Analysis of current AI resilience

Construction Trades Helper

Updated quarterly

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How can Construction Trades Helper prepare for AI?

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Latest AI news for Construction Trades Helper

These articles highlight the evolving role of AI in the construction trades, particularly for Helpers. While AI can enhance efficiency and reduce costs, it emphasizes that skilled workers' expertise remains irreplaceable. For instance, one article notes that AI can handle administrative tasks, freeing up time for hands-on work. Another discusses how AI investments increase the value of construction labor, potentially boosting earnings. Understanding these trends can help students adapt and thrive in a changing job landscape, showcasing their resilience in leveraging AI as a tool rather than a replacement.

More Career Info

Career: Helpers, Construction Trades, All Other

They assist skilled workers on construction sites by carrying materials, cleaning up, and doing simple tasks to support building projects.

Employment & Wage Data

Median Wage

$42,670

Jobs (2025)

25,200

Growth (2025-35)

-1.0%

Annual Openings

2,300

Education

No formal educational credential

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2025-2035

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