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The AI Resilience Report helps you understand how AI is likely to impact your current or future career. Drawing on data from over 1,500 occupations, it provides a clear snapshot to support informed career decisions.
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The AI Resilience Report is a project from CareerVillage®, a registered 501(c)(3) nonprofit.
Last Update: 4/23/2026
Your role’s AI Resilience Score is
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
High
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
Limited data sources are available, or existing sources show notable disagreement on the outlook for this occupation.
Contributing sources
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.
Read full analysisLearn more about how you can thrive in this position
Learn more about how you can thrive in this position
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.
Read full analysisAnalysis of Current AI Resilience
Construction & Related Workers
Updated Quarterly • Last Update: 2/17/2026

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].

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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They support construction projects by doing various tasks like cleaning sites, setting up equipment, and helping skilled workers complete their jobs.
* 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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The AI Resilience Report is a project from CareerVillage.org®, a registered 501(c)(3) nonprofit.
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