Mostly Resilient

Last Update: 4/23/2026

Your role’s AI Resilience Score is

57.2%

Median Score

Meaningful human contribution

High

Long-term employer demand

Med

Sustained economic opportunity

Low

Our confidence in this score:
Low-medium

Contributing sources

AI Resilience Report forConstruction and Related Workers, All Other

Construction and Related Workers, All Other are somewhat more resilient to AI impacts than most occupations, according to our analysis of 4 sources.

This career in construction is labeled as "Mostly Resilient" because while AI can help with planning and safety, the hands-on work like fitting parts and adapting to unique building designs still needs human skills. The unpredictable nature of construction sites and the need for creativity and problem-solving make it hard for machines to fully take over.

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This role is mostly resilient

This career in construction is labeled as "Mostly Resilient" because while AI can help with planning and safety, the hands-on work like fitting parts and adapting to unique building designs still needs human skills. The unpredictable nature of construction sites and the need for creativity and problem-solving make it hard for machines to fully take over.

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Analysis of Current AI Resilience

Construction & Related Workers

Updated Quarterly • Last Update: 2/17/2026

Analysis
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State of Automation

How is AI changing Construction & Related Workers jobs?

In real life, most construction jobs are still done by people using their hands. Heavy tools and simple machines help, but tasks like carrying materials, drilling, or fitting parts are done by workers, not robots. Research finds that even after decades of trying, putting robots on ordinary construction sites is still very rare [1].

For example, weatherization technicians will test a house for leaks with a big fan (a “blower-door test”) and then seal cracks and add insulation by hand [2] – they use some tools and sensors, but not AI to do the work. Occasionally you do see advanced cases: one company retrofitted bulldozers and excavators to build an airfield without drivers [3]. But that’s the exception.

In general, today’s tech usually augments workers (for planning or safety) rather than replaces them, and most building work still needs human hands and decisions [1].

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AI Adoption

How fast is AI adoption growing for Construction & Related Workers?

Why will AI come fast or slow in this field? On one hand, there is a big labor shortage: experts say we’ll need many more electricians, plumbers, and carpenters to build new projects like data centers [4]. These trades pay roughly \$23/hour (about \$48K per year) [2], so hiring people can still be cheaper than buying an expensive robot.

On the other hand, construction is hard to automate: weather and uneven ground or unique building designs make it tricky to program machines [1]. New AI tools also require costly investment and training. So far, change has been gradual.

Machines might help inspect sites or manage schedules, but skilled workers still direct the building process. In fact, one industry leader even predicted that skilled trade jobs would “boom” in the AI age [4], suggesting these careers will still be in demand. The bottom line: your creativity, problem-solving and flexibility – qualities AI can’t easily copy – remain very important [1] [4].

This means the field will evolve with new tools, but people (with tech-savvy skills) are likely to stay at the center of construction work.

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More Career Info

Career: Construction and Related Workers, All Other

They support construction projects by doing various tasks like cleaning sites, setting up equipment, and helping skilled workers complete their jobs.

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Employment & Wage Data

* Data estimated from parent occupation

Median Wage

$48,120

Jobs (2024)

35,000

Growth (2024-34)

+3.5%

Annual Openings

3,100

Education

High school diploma or equivalent

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2024-2034

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