Mostly Resilient

Last Update: 11/4/2026

AI Resilience Score for Pipelayers:

50.5%

Median Score

Meaningful human contribution

Med

Long-term employer demand

Low

Sustained economic opportunity

High

Our confidence in this score:
Low-medium

Methodology and Scoring Rationale

To score how resilient pipelaying 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 pipelaying, 6 of the 9 sources had data. The AI exposure sources mostly agreed: AI Resilience Model and Microsoft both rated resilience high, while Will Robots Take My Job and Google ATLAS landed at medium, keeping confidence low-medium. Strong pay signals from Wage Bill lifted the economic score, but a low hiring outlook from BLS Opportunity Score pulled demand down, landing pipelayers at "Mostly Resilient."

AI Resilience Report forPipelayers

$49,000 median salary•2,100 annual openings•SOC Code: 47-2151.00

Pipelayers are somewhat more resilient to AI impacts than most occupations, according to our analysis of 5 sources.

Pipelaying is labeled "Mostly Resilient" because while AI and robotics are starting to handle some tasks like excavation and pipe inspection, the hands-on, physical, and judgment-heavy parts of the job still need a skilled human on site. Real-world adoption is moving slowly, with only about 27% of construction firms currently using AI, and major barriers like cost, security concerns, and unclear regulations are keeping full automation at bay.

Learn more about how you can thrive in this position

This role is mostly resilient

Pipelaying is labeled "Mostly Resilient" because while AI and robotics are starting to handle some tasks like excavation and pipe inspection, the hands-on, physical, and judgment-heavy parts of the job still need a skilled human on site. Real-world adoption is moving slowly, with only about 27% of construction firms currently using AI, and major barriers like cost, security concerns, and unclear regulations are keeping full automation at bay.

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Analysis of current AI resilience

Pipelayers

Updated quarterly

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Latest AI news for Pipelayers

These articles highlight the evolving role of AI in the piping industry, pointing to both challenges and opportunities for future pipelayers. For instance, the piece on utilities using AI to prevent pipeline failures illustrates how technology can enhance safety and efficiency, creating a demand for skilled workers who can integrate AI tools. Additionally, the AI and deep learning project analyzing CCTV footage of steel pipes showcases the potential for automation to streamline inspections. As AI becomes more integrated, pipelayers can build resilience by adapting to new technologies and enhancing their skill sets.

More Career Info

Career: Pipelayers

They install and connect pipes in the ground to ensure water, gas, or sewage flows properly for buildings and communities.

Alternate Titles

Pipelayer · Tailman

Employment & Wage Data

Median Wage

$49,000

Jobs (2025)

33,200

Growth (2025-35)

-3.1%

Annual Openings

2,100

Education

No formal educational credential

Experience

None

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

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

94% ResilienceCore Task

Install or repair sanitary or stormwater sewer structures or pipe systems.

2

92% ResilienceCore Task

Connect pipe pieces and seal joints, using welding equipment, cement, or glue.

3

91% ResilienceCore Task

Align and position pipes to prepare them for welding or sealing.

4

90% ResilienceCore Task

Tap and drill holes into pipes to introduce auxiliary lines or devices.

5

88% ResilienceCore Task

Cover pipes with earth or other materials.

6

87% ResilienceCore Task

Dig trenches to desired or required depths, by hand or using trenching tools.

7

86% ResilienceCore Task

Grade or level trench bases, using tamping machines or hand 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.

The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.

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